recompile neuron

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/API_Gateway.md

@@ -10,7 +10,7 @@ client. In response to a client request you can then call a
 [lambda function](Lambda_handler_function.md) that
 executes a backend process.
 
-![](/static/gateway-services.png)
+![](static/gateway-services.png)
 
 See
 [using API Gateway as Lambda trigger](Practical_walkthrough_Lambda_creation_within_AWS.md)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Adding_documents_to_a_Mongo_collection.md

@@ -49,4 +49,4 @@ have the Mongo document outputted to the console:
 
 This will also be reflected in Compass:
 
-![](/static/mongo-doc-added.png)
+![](static/mongo-doc-added.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Algorithmic_complexity.md

@@ -4,7 +4,7 @@ tags: [algorithms]
 
 # Algorithmic complexity
 
-![Screenshot_2021-05-11_at_18.55.23.png](/static/Screenshot_2021-05-11_at_18.55.23.png)
+![Screenshot_2021-05-11_at_18.55.23.png](static/Screenshot_2021-05-11_at_18.55.23.png)
 _Summary of the main classes of algorithmic complexity_
 
 ## Distinguish algorithms from programs
@@ -119,7 +119,7 @@ following data set:
 | 5               |       5 |
 
 If we plotted this as a graph it is clear that this is equivalent to a linear
-distribution:![lin.svg](/static/lin.svg)
+distribution:![lin.svg](static/lin.svg)
 
 Algorithms which display this distribution are therefore called **linear
 algorithms**.
@@ -242,7 +242,7 @@ factor of it. Therefore the runtime is not growing proportional to the size of
 the input, it is growing proportional to the size of the input squared.
 
 Graphically this is represented with a curving lines as follows:
-![square.svg](/static/square.svg)
+![square.svg](static/square.svg)
 
 We can clearly see that as n grows, the runtime gets steeper and more
 pronounced,
@@ -291,7 +291,7 @@ Back to algorithms: $O(\log n)$ is a really good complexity to have. It is close
 to O(1) and in between O(1) and O(n). Represented graphically, it starts of with
 a slight increase in runtime but then quickly levels off:
 
-![Screenshot_2021-05-11_at_18.51.02.png](/static/Screenshot_2021-05-11_at_18.51.02.png)
+![Screenshot_2021-05-11_at_18.51.02.png](static/Screenshot_2021-05-11_at_18.51.02.png)
 
 Many sorting algorithms run in log n time, as does recursion.
 
@@ -356,7 +356,7 @@ we should keep in mind the following shorthands:
 
 With this in mind we can break down the `findSum` function like so:
 
-![breakdown.svg](/static/breakdown.svg)
+![breakdown.svg](static/breakdown.svg)
 
 This gives us:
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Analogue_and_digital.md

@@ -7,7 +7,7 @@ tags: [analogue]
 Analogue and digital are paradigms for recording information, specifically
 information about an object or state that obtains in the world.
 
-![](/static/analog-digital.svg)
+![](static/analog-digital.svg)
 
 ## Analogue
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Apollo_Server.md

@@ -73,7 +73,7 @@ When we access the local URL we are able to access the Apollo server using the
 Explorer GUI. This automatically loads our schema and is basically a more fancy
 version of GraphiQL:
 
-![](/static/apollo-explorer.png)
+![](static/apollo-explorer.png)
 
 It makes it easy to read descriptions of the dataypes and to construct queries
 by clicking to insert fields.

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Application_Layer_of_Internet_Protocol.md

@@ -7,7 +7,7 @@ created: Friday, September 06, 2024
 
 The final, topmost layer of the Internet Protocol suite.
 
-![Data at the Application Layer](/static/application-layer-data.png)
+![Data at the Application Layer](static/application-layer-data.png)
 
 The Application Layer is where we get to the protocols that describe the
 behaviour of applications. All the preceding lower levels are effectively

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Awk.md

@@ -89,7 +89,7 @@ awk '/Joe/ {print}' list.txt
 
 ### Lines, records, fields
 
-![](/static/awk-outline.png)
+![](static/awk-outline.png)
 
 When `awk` receives a file it divides the lines into **records**.
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Biconditional_Elimination.md

@@ -9,4 +9,4 @@ Give that the biconditional means that if $P$ is the case, $Q$ must be the case
 and if $Q$ is the case, $P$ must be the case, if we have $P \leftrightarrow Q$
 and $P$, we can derive $Q$ and vice versa.
 
-![](/static/biconditional-elim.png)
+![](static/biconditional-elim.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Biconditional_Introduction.md

@@ -10,4 +10,4 @@ the case, $P$ must be the case. Thus to introduce this operator we must
 demonstrate both that $Q$ follows from $P$ and that $P$ follows from $Q$. We do
 this via two sub-proofs.
 
-![](/static/bi-intro.png)
+![](static/bi-intro.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Binary_colour_encoding.md

@@ -24,7 +24,7 @@ In decimal, 0 is equal to black (zero light intensity) and 255 is equal to white
 (full light intensity). Some examples of this (including binary and hex
 representations are below):
 
-![](/static/greyscale-encoding.svg)
+![](static/greyscale-encoding.svg)
 
 ### Colour encoding
 
@@ -41,13 +41,13 @@ Some examples below
 Red is represented in RGB with all 8 red bits to set to 1 and the remaining 16
 bits for the other two colours set to 0.
 
-![](/static/red-encoding.svg)
+![](static/red-encoding.svg)
 
 #### Yellow
 
 Yellow is represented in RGB with both red and blue set to 1 and the remaining 8
 green bits set to ):
 
-![](/static/yellow-encoding.svg)
+![](static/yellow-encoding.svg)
 
 ## Binary encoding of images

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Binary_number_system.md

@@ -97,11 +97,11 @@ equal to: **1 in the two column and 1 in the 4 column → 110**
 
 More clearly:
 
-![](/static/Pasted_image_20220319135558.png)
+![](static/Pasted_image_20220319135558.png)
 
 And for comparison:
 
-![](/static/Pasted_image_20220319135805.png)
+![](static/Pasted_image_20220319135805.png)
 
 Or we can express the binary as:
 
@@ -115,4 +115,4 @@ $$ 2^1 + 2^2 $$
 
 Let's convert 23 into binary:
 
-![](/static/Pasted_image_20220319135823.png)
+![](static/Pasted_image_20220319135823.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Boot_process.md

@@ -61,7 +61,7 @@ create your boot process so the two are clearly distinguishable.
 
 The de facto standard boot loader for Linux is GRUB: Grand Unified Boot Loader.
 
-![](/static/grub.jpg)
+![](static/grub.jpg)
 
 You see the GRUB default menu when you first start a Linux machine. It will
 offer you various options for loading your installed OS or other OSs. GRUB is a

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Breadboards.md

@@ -6,7 +6,7 @@ created: Sunday, June 23, 2024
 
 # Breadboards
 
-![](/static/breadboard-diagram.jpg)
+![](static/breadboard-diagram.jpg)
 
 ## Contact holes
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/CPU_architecture.md

@@ -19,7 +19,7 @@ The CPU comprises three core components:
 - the Arithmetic Logic Unit (ALU)
 - the Control Unit (CU)
 
-![](/static/von_neumann_architecture.jpeg)
+![](static/von_neumann_architecture.jpeg)
 
 > This method of putting together a computer is known as the **Von Neumann
 > Architecture**. It was devised by John von Neumann in about 1945, well before
@@ -106,7 +106,7 @@ Hertz was the scientist who detected
 We use Hertz as a measure of the frequency of electromatic wave cycles in a
 signal.
 
-![](/static/hertz_wave_freq.gif)
+![](static/hertz_wave_freq.gif)
 
 As the diagram above shows, a cycle is equal to one ascending and one descending
 crest. The more cycles per time unit, the greater the Hertz. We see the Hz

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Call_stack.md

@@ -34,4 +34,4 @@ console.log("Bye");
 
 ## Related notes
 
-![Stack memory](/static/Stack_memory.md)
+![Stack memory](static/Stack_memory.md)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Cells_and_batteries.md

@@ -32,7 +32,7 @@ connection types:
 
 The table below summarises the relative differences:
 
-![](/static/cell-comparison.svg)
+![](static/cell-comparison.svg)
 
 ### Series connections
 
@@ -56,12 +56,12 @@ Thus series connections increase voltage but keep current constant.
 
 _Series battery connection:_
 
-![](/static/series-battery-diagram.svg)
+![](static/series-battery-diagram.svg)
 
 _Can be represented in a circuit diagram in one of the following two ways: as a
 series of cells or as a single battery:_
 
-![](/static/series-battcircuit.svg)
+![](static/series-battcircuit.svg)
 
 In the case of **series opposing**, negative terminals are connected to each
 other and positive terminals are connected to each other in a series. This
@@ -86,11 +86,11 @@ $$
 
 _Parallel battery connection:_
 
-![](/static/parallel-battery-diagram.svg)
+![](static/parallel-battery-diagram.svg)
 
 _Parallel battery circuit diagram:_
 
-![](/static/circ-batt-final.svg)
+![](static/circ-batt-final.svg)
 
 ### Series-parrallel
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Cherry_picking.md

@@ -40,7 +40,7 @@ This will apply the changes from the commit with hash `xyz` from thee `main`
 branch to the `feature` branch. This will create a new SHA on `feature` (pqr)
 but the changes will be identical.
 
-![](/static/cherry-pick.svg)
+![](static/cherry-pick.svg)
 
 The benefit is that you only take the select changes you want, you are not
 merging the whole `main` branch into feature.

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Clock_signals.md

@@ -30,7 +30,7 @@ the reverse (the electrons moving from the voltage source to ground).
 
 The diagram below shows a pulse cycle of 2Hz.
 
-![](/static/clock_pulses.png)
+![](static/clock_pulses.png)
 
 ## Linking components to the clock
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/CloudWatch.md

@@ -39,9 +39,9 @@ their infrastructure and applications.
 CloudWatch can usually be accessed directly from within the dashboard for the
 given AWS service under the "Monitor" tab. For example with AWS Lambda:
 
-![](/static/lambda-cloudwatch.png)
+![](static/lambda-cloudwatch.png)
 
 In addition to graphical metrics, we can also view specific logs for each event
 and execution of the given service. In the case of a Lambda function:
 
-![](/static/cloudwatch-logs.png)
+![](static/cloudwatch-logs.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Conditional_Elimination.md

@@ -10,4 +10,4 @@ If we have a conditional and we have independently derived its antecedent, we
 may invoke its consequent. This is often referred to as _Modus ponens_
 (affirming the antecedent).
 
-![](/static/cond-elim.png)
+![](static/cond-elim.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Conditional_Introduction.md

@@ -9,4 +9,4 @@ tags:
 If we can show that $Q$ follows from $P$ (typically via a sub-proof) than we can
 assert that P implies Q. This is also sometimes known as _Conditional Proof_
 
-![](/static/cond-intro.png)
+![](static/cond-intro.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Conjunction_Elimination.md

@@ -9,4 +9,4 @@ tags:
 If a conjunction exists, it means that both conjuncts are the case; therefore we
 can legitimately extract either one of them. Also known as _Simplification_.
 
-![](/static/conjunc-elim.png)
+![](static/conjunc-elim.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Conjunction_Introduction.md

@@ -9,4 +9,4 @@ tags:
 If two conjuncts have each been independently derived then they can be
 conjoined. Also known more simply as _Conjunction_
 
-![](/static/conjunc-intro.png)
+![](static/conjunc-intro.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Containerization.md

@@ -67,11 +67,11 @@ expenditure and security challenges.
 
 _Standard userspace_
 
-![](/static/standard-userspace.png)
+![](static/standard-userspace.png)
 
 _Userspace with containerization_
 
-![](/static/containers-in-userspace.png)
+![](static/containers-in-userspace.png)
 
 ## Differences with virtual machines
 
@@ -100,7 +100,7 @@ rest as it would any other process on the OS.
 | Less portable                               | More portable                           |
 | Slower and more difficult to run            | Scale rapidly due to lightweight nature |
 
-![](/static/container-versus-vm.png)
+![](static/container-versus-vm.png)
 
 ## Why use containers?
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Create_Mongo_database.md

@@ -31,4 +31,4 @@ _Compass_ is a graphical interface for viewing and interacting with the data in
 your Mongo database. It will automatically load to the default Mongo port:
 `27017`.
 
-![](/static/mongo-compass.png)
+![](static/mongo-compass.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Creating_a_Linux_partition_table.md

@@ -149,4 +149,4 @@ sudo e2label /dev/sda1 my_human_name
 
 ## Related notes
 
-![Linux disk partitions](/static/Linux_disk_partitions.md)
+![Linux disk partitions](static/Linux_disk_partitions.md)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Creating_a_Mongo_schema_and_model.md

@@ -71,11 +71,11 @@ const course = new Course({
 });
 ```
 
-![](/static/mongoose-hierarchy.svg)
+![](static/mongoose-hierarchy.svg)
 
 ## Outcome
 
 Having created a database, connected to it with Mongoose, and created a model we
 will see our collection reflected in Compass:
 
-![](/static/mongo-collection.png)
+![](static/mongo-collection.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Creating_a_RESTful_API_GET.md

@@ -22,7 +22,7 @@ router.get("/", (req, res) => {
 
 Our server is now set up:
 
-![](/static/server-listening.png)
+![](static/server-listening.png)
 
 > When creating our API this structure of creating handlers for specific routes
 > will be iterated. Every endpoint will be specified with

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Creating_memory_with_NAND.md

@@ -10,7 +10,7 @@ below demonstrates how memory can be created using
 [NAND](Logic_gates.md#nand-gate)
 gates. A single bit is stored in memory.
 
-![](/static/nand_latch_logic_circuit.png) Interactive version of circuit:
+![](static/nand_latch_logic_circuit.png) Interactive version of circuit:
 
 <iframe src="https://circuitverse.org/simulator/embed/nand-mem?theme=default&display_title=false&clock_time=true&fullscreen=true&zoom_in_out=true" style="border-width:; border-style: solid; border-color:;" name="myiframe" id="projectPreview" scrolling="no" frameborder="1" marginheight="0px" marginwidth="0px" height="500" width="500" allowFullScreen></iframe>
 
@@ -37,7 +37,7 @@ gates. A single bit is stored in memory.
 
 > Upshot: With **S** `ON`, output is the same as input
 
-![](/static/nand-mem-first.gif)
+![](static/nand-mem-first.gif)
 
 ### Second state: both S and I `ON`
 
@@ -54,7 +54,7 @@ gates. A single bit is stored in memory.
 
 > Upshot: With **S** on, the output is again the same as the input
 
-![](/static/nand-mem-second.gif)
+![](static/nand-mem-second.gif)
 
 > So far we have seen that when **S** is `ON` you can change **I** on and off
 > and **O** will change with it.
@@ -73,4 +73,4 @@ and at Gate 2: `OFF (Gate 1) + OFF (S) = OFF`
 This is illustrated in the diagram below. The space occupied by **A** and **B**
 remains on (note it is illuminated) regardless of the state of **I**.
 
-![](/static/nand-mem-demonstrated.gif)
+![](static/nand-mem-demonstrated.gif)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Current.md

@@ -29,7 +29,7 @@ force the **voltage source**.
 _The diagram below illustrates the flow of current where the circles are
 electrons knocking into each other and passing current:_
 
-![](/static/charge-cylinder.svg)
+![](static/charge-cylinder.svg)
 
 > Electrons travel very slowly through a conductor. This is in contrast to their
 > intrinsic motion which of course equal to the speed of light (186, 000 miles

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Defining_a_computer.md

@@ -15,7 +15,7 @@ single set of tasks according to prewritten instructions. We’ll take the term
 _computer_ to mean general purpose computer.
 
 Simplified model of what a computer is:
-![1.4-Input-Process-Output.png](/static/1.4-Input-Process-Output.png)
+![1.4-Input-Process-Output.png](static/1.4-Input-Process-Output.png)
 
 Although the input, output and storage parts of a computer are very important,
 they will not be the focus of this course. Instead we are going to learn all
@@ -55,9 +55,9 @@ instructions to make calculations.
   wind, drift, slope and elevation. These were used well into WW2 but they were
   limited to the particular type of cannon or shell
 
-![Screenshot_2020-08-09_at_21.32.54 1.png](/static/Screenshot_2020-08-09_at_21.32.54%201.png)
+![Screenshot_2020-08-09_at_21.32.54 1.png](static/Screenshot_2020-08-09_at_21.32.54%201.png)
 
-![Screenshot_2020-08-09_at_21.34.48.png](/static/Screenshot_2020-08-09_at_21.34.48.png)
+![Screenshot_2020-08-09_at_21.34.48.png](static/Screenshot_2020-08-09_at_21.34.48.png)
 
 > Before the invention of actual computers, 'computer' was a job-title denoting
 > people who were employed to conduct complex calculations, sometimes with the

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Disjunction_Elimination.md

@@ -15,14 +15,14 @@ disjuncts comprising the disjunction you start out with. If you can derive your
 target proposition as the conclusion of each subproof then you may invoke the
 conclusion in the main proof and take it to be derived.
 
-![](/static/disjunc-elim.png)
+![](static/disjunc-elim.png)
 
 _Here is an example where Disjunction Elimination is used to derive a new
 disjunction._
 
-![](/static/proofs-drawio-Page-6.drawio.png)
+![](static/proofs-drawio-Page-6.drawio.png)
 
 _Here are two further examples that use Disjunction Elimination to derive
 singular propositions_
 
-![](/static/ORelim1.png) ![](/static/ORelim2.png)
+![](static/ORelim1.png) ![](static/ORelim2.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Disjunction_Introduction.md

@@ -15,4 +15,4 @@ to be true. This is represented in the context of
 can pass up via either branch of a disjunction pattern. This rule is sometimes
 also referred to (confusingly) as _Addition_.
 
-![](/static/disjunc-intro.png)
+![](static/disjunc-intro.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Dividing_fractions.md

@@ -8,16 +8,16 @@ tags:
 
 Suppose you have the following shape:
 
-![draw.io-Page-9.drawio 1.png](/static/draw.io-Page-9.drawio.png)
+![draw.io-Page-9.drawio 1.png](static/draw.io-Page-9.drawio.png)
 
 One part is shaded. This represents one-eighth of the original shape.
 
-![one-eighth-a.png](/static/one-eighth-a.png)
+![one-eighth-a.png](static/one-eighth-a.png)
 
 Now imagine there are four instances of the shape and one-eighth remains shaded.
 How man one-eighths are there in four?
 
-![draw.io-Page-9.drawio 2.png](/static/draw.io-Page-9.drawio.png)
+![draw.io-Page-9.drawio 2.png](static/draw.io-Page-9.drawio.png)
 
 The shaded proportion represents $\frac{1}{8}$ of the shape. Imagine four of
 these shapes, how many eighths are there?

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Docker_architecture.md

@@ -6,7 +6,7 @@ tags: [docker, containerization]
 
 ## Overview
 
-![](/static/dock-architecture.png)
+![](static/dock-architecture.png)
 
 - The Docker Client is a thin API for making
   [REST API](RESTful_APIs.md) to the Docker Server. Any CLI

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Docker_containers.md

@@ -142,7 +142,7 @@ docker attach my_container
 
 ## Container lifecycle
 
-![](/static/container-lifecycle.png)
+![](static/container-lifecycle.png)
 
 All containers have a lifecycle represented by five distinct states. Each state
 has an associated command:

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/DynamoDB_data_structure.md

@@ -17,7 +17,7 @@ DynamoDB is "NoSQL" because it does not support #SQL queries and is
 non-relational meaning there cannot be JOIN operations via
 [foreign_keys](Foreign_keys_in_SQL.md)
 
-![](/static/dynamodb.png)
+![](static/dynamodb.png)
 
 ### Primary key
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Electromagnetism.md

@@ -55,7 +55,7 @@ call this propensity of electrons the **intrinsic magnetic moment** of the
 electron. It is aggregates of these miniature magnetic behaviours that produce
 the overall magnetic property of the material.
 
-![](/static/dipole-again.svg)
+![](static/dipole-again.svg)
 
 In most materials, equal numbers of electrons spin in opposite directions. As a
 result, their magentic effects are cancelled out. However **in strongly magnetic
@@ -179,7 +179,7 @@ waves form a spectrum based on their frequency and wavelength. For example,
 'radio waves' are low-frequency / long wavelength electromagnetic waves and
 gamma rays are high-frequency / short wavelength waves:
 
-![](/static/em-spectrum.jpg)
+![](static/em-spectrum.jpg)
 
 The image below shows the propagation of an electromagnetic wave through space.
 We can identify the core components as follows
@@ -189,7 +189,7 @@ We can identify the core components as follows
   which propagates upward along the $y$ axis
 - The directionality of both waves is forward along the $x$ axis
 
-![](/static/em-wave.gif)
+![](static/em-wave.gif)
 
 ## Using magnetism to generate electricity
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Electrons.md

@@ -16,7 +16,7 @@ to the nucleus.
 _The diagram below demonstrates shell naming conventions and the maximum number
 of electrons per shell._
 
-![](/static/valence-shell.svg)
+![](static/valence-shell.svg)
 
 ## Valence
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Equivalent_fractions.md

@@ -9,7 +9,7 @@ tags:
 Two fractions are equivalent if they represent the same value. To begin with we
 can represent this visually:
 
-![equiv-fractions.png](/static/equiv-fractions.png)
+![equiv-fractions.png](static/equiv-fractions.png)
 
 _Each shaded area is taking up the same proportion of the whole._
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Error_handling_in_Python.md

@@ -38,7 +38,7 @@ exception class.
 The root class is `BaseException` which all errors and exeptions extend as
 subclasses as demonstrated by this diagram:
 
-![](/static/python-exception-hierarchy.png)
+![](static/python-exception-hierarchy.png)
 
 ## Exception syntax
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Event_loop.md

@@ -25,7 +25,7 @@ If there was only one thread, this would be inefficient and unworkable.
 Therefore the framework will be multi-threaded: multiple request-response cycles
 can be executed at once by different threads.
 
-![sync-thread.svg](/static/sync-thread.svg)
+![sync-thread.svg](static/sync-thread.svg)
 
 To accomodate the ability to increase the scale of synchronous applications you
 need to be able to spawn more threads commensurate to increased demand. This
@@ -43,7 +43,7 @@ dispatching them asynchronously. When a request is made it sends it off and
 continues with its execution and handling new requests. Once these resolve, the
 data is returned to the main thread.
 
-![async.svg](/static/async.svg)
+![async.svg](static/async.svg)
 
 ## The Event Loop
 
@@ -74,7 +74,7 @@ process exits when there is no more pending work in the Event Loop, or when
 are tasks queued in the Event Loop, or present on the
 [call stack](Call_stack.md).
 
-![](/static/node-event-loop.svg)
+![](static/node-event-loop.svg)
 
 The phases are as follows:
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Example_scenario_internet_data_transfer.md

@@ -5,9 +5,9 @@ created: Friday, September 06, 2024
 
 # Example scenario of data transfer accross the internet
 
-![Path of a network request accross the internet](/static/network-request-layers.png)
+![Path of a network request accross the internet](static/network-request-layers.png)
 
-![All layers of the IP](/static/all-layers-of-IP.png)
+![All layers of the IP](static/all-layers-of-IP.png)
 
 - A client device is connected to a wireless WiFi network.
 - This network is connected to the internet via a router.

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Filesystems.md

@@ -65,7 +65,7 @@ Our `sda1` partition is now mounted at `mountpoint`. We can go ahead and create
 files. If we now look within the graphical file manager when we click on the
 `sda1` volume, we will see the new file we have created in `mountpoint`.
 
-![](/static/mount-directory.png)
+![](static/mount-directory.png)
 
 ## fstab
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Flip_flops.md

@@ -42,7 +42,7 @@ The possible state changes for the JK Flip-Flop are detailed below:
 A JK Flip-Flop can execute on either the positive or negative pulse. Below are
 the diagrams for a rising and falling pulse respectively:
 
-![](/static/jk-flip-flops.png)
+![](static/jk-flip-flops.png)
 
 ## T Flip-Flops
 
@@ -59,4 +59,4 @@ Thus the state table for the T Flip-Flop is:
 | 0   | Pulse | Maintain previous value   | Hold      |
 | 0   | Pulse | Inverse of previous value | Toggle    |
 
-![](/static/t-flip-flops.png)
+![](static/t-flip-flops.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Formal_proofs_in_propositional_logic.md

@@ -54,11 +54,11 @@ Sub-proofs follow this structure recursively. This is known as _Fitch notation_
 
 _Schematically_:
 
-![](/static/proofs-drawio-Page-5.drawio.png)
+![](static/proofs-drawio-Page-5.drawio.png)
 
 _Applied example_:
 
-![](/static/proofs-drawio-Page-6.drawio.png)
+![](static/proofs-drawio-Page-6.drawio.png)
 
 ## Sub-proofs
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Formatting_output_text_in_Bash.md

@@ -30,7 +30,7 @@ three lines
 
 ## Colour outputs
 
-![](/static/terminal_colours.png)
+![](static/terminal_colours.png)
 
 ```bash
 echo -e "\033[31;40mColoured Text\033[0m"

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Git_bisect.md

@@ -15,7 +15,7 @@ We mark the last good revision and the first bad revision. Bisect will the reset
 the code to the midpoint between the good and bad versions and let you test it.
 You mark that as a good or bad version and then bisect repeats the process.
 
-![](/static/git-bisect.svg)
+![](static/git-bisect.svg)
 
 ## Procedure
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Git_rebasing.md

@@ -17,7 +17,7 @@ is evident from the following automatic commit message that is generated:
 Merge branch B of github.com:thomasabishop/remote-repository into A
 ```
 
-![](/static/normal-merge-again.svg)
+![](static/normal-merge-again.svg)
 
 In this scenario the merge commit has two or more parent commits each
 representing the history of the merged branches. The resulting history of A will
@@ -26,7 +26,7 @@ include the commits of B. Basically the two histories are combined.
 This would give us a history that looks like the following, with different
 colours for the separate SHAs of each merged branch:
 
-![](/static/combined-merge-hist.svg)
+![](static/combined-merge-hist.svg)
 
 If we were to create a rebase branch of A from B, there would be a new singular
 history without distinguishing multiple parents that combines the commits of A
@@ -39,12 +39,12 @@ of commits in a single branch.
 When a rebase is applied, it will put the diverging B commits at the tip of A
 like so:
 
-![](/static/rebase-tip-chage.svg)
+![](static/rebase-tip-chage.svg)
 
 And then rebrand the previous A commits to be continuous with B presenting a
 flat and linear Git history like the following:
 
-![](/static/single-git-history-rebase.svg)
+![](static/single-git-history-rebase.svg)
 
 ## Benefits, use-cases
 
@@ -160,7 +160,7 @@ recent. This will open an interactive rebase window, listing the commits. You
 can then use the keywords to decide what you want to do with them. In our case
 this will be `s` for squash.
 
-![](/static/git-interactive-rebase.png)
+![](static/git-interactive-rebase.png)
 
 ### Example
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Half_adder_and_full_adder.md

@@ -65,7 +65,7 @@ The diagram below shows the circuit representation of a half-adder and an
 example calculation. This calculation matches the ones column of the earlier
 binary addition example: $0011 + 0010$.
 
-![](/static/half-adder-new.png)
+![](static/half-adder-new.png)
 
 ### Implementation with logic gates
 
@@ -109,7 +109,7 @@ And the carry-out bit replicates the truth conditions of
 It is therefore possible to implement a half-adder with just these two logic
 gates:
 
-![](/static/half-adder-gates-three.png)
+![](static/half-adder-gates-three.png)
 
 The digital circuit above has the same inputs and outputs as the half adder
 diagram above.
@@ -134,7 +134,7 @@ and B) and like the half adder, generates a sum bit and a carry-out bit.
 | ---------------------------- | ----------------------------- | ------------------------ | ---------------------- | ---------------------------- |
 | The first number to be added | The second number to be added | The incoming carried bit | The sum bit (A+B+C_in) | The carry-out bit (A+B+C_in) |
 
-![](/static/full-adder-new.png)
+![](static/full-adder-new.png)
 
 The diagram above is equivalent to the calculation taking place in the fours
 column. It has received a carry from the twos column ($1 + 1$ results in $1$ as

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Hardware_Description_Language.md

@@ -34,7 +34,7 @@ we can learn the main facets of chip design. Its syntax is very similar to VHDL.
 We will create an HDL program for an XOR gate that is implemented through the
 following arrangement of NOT, AND, and OR gates:
 
-![](/static/xor-hdl.png)
+![](static/xor-hdl.png)
 
 ### HDL file (`Xor.hdl`):
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Hardware_abstraction_and_modularity.md

@@ -29,4 +29,4 @@ Edition)]
 The design of the diagram below emphasises the role of abstraction and
 modularity in the movement from transistors to chips:
 
-![](/static/hardware-abstraction-hierarchy.png)
+![](static/hardware-abstraction-hierarchy.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Hardware_simulation.md

@@ -9,7 +9,7 @@ In order to test our
 them into the hardware simulator program. We will demonstrate this with the
 following XOR implementation:
 
-![](/static/xor-addition-four.png)
+![](static/xor-addition-four.png)
 
 There are several simulation options:
 
@@ -43,7 +43,7 @@ When this is run it automatically generates an output file in the source
 directory at `Xor.out`. This can be viewed within the simulator via the 'View'
 drop down.
 
-![](/static/hd-sim-test.png)
+![](static/hd-sim-test.png)
 
 ## Comparison-based
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Hexadecimal_number_system.md

@@ -114,7 +114,7 @@ $$
   = 15
 $$
 
-![](/static/hexadecimal-to-bytes.svg)
+![](static/hexadecimal-to-bytes.svg)
 
 > Every four bits (or half byte) in binary corresponds to one symbol in
 > hexadecimal. Therefore **a byte can be easily represented with two hexadecimal

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/IP_addresses.md

@@ -31,7 +31,7 @@ The 32 bits comprise two major groupings
 - the **network prefix**
 - the **host**
 
-![Different sections of IP address](/static/ip-address-anatomy.png)
+![Different sections of IP address](static/ip-address-anatomy.png)
 
 Devices connected to the same network share the same network prefix. They are
 said to be on the same **subnet**. However each device will have a unique value

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Integrated_circuits.md

@@ -23,6 +23,6 @@ to a breadboard.
 
 _An integrated circuit and its use on a breadboard:_
 
-![](/static/integrated-circuit.jpeg)
+![](static/integrated-circuit.jpeg)
 
-![](/static/breadboard-DIP.jpg)
+![](static/breadboard-DIP.jpg)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Interactive_staging.md

@@ -17,7 +17,7 @@ git add -i
 
 This opens an interface:
 
-![](/static/git-interactive-mode-2.png)
+![](static/git-interactive-mode-2.png)
 
 We select 2 and it lets us stage by number. If I enter 1, it will stage the
 first change.
@@ -38,7 +38,7 @@ But it is useful for staging sub-portions of a file, which are called **hunks**.
 
 We access these via **patch mode**:
 
-![](/static/git-patch-mode.png)
+![](static/git-patch-mode.png)
 
 ### Splitting hunks
 
@@ -57,7 +57,7 @@ mode. We enter this with `e`.
 
 This will oped up Vim for the manual work to be done:
 
-![](/static/git-manual-hunk.png)
+![](static/git-manual-hunk.png)
 
 We use the diff symbols `+`, `-` and space to do this.
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Internet_Layer_of_Internet_Protocol.md

@@ -27,7 +27,7 @@ when sent and received within the
 [Link Layer](Link_Layer_of_Internet_Protocol.md) on the local network, are
 enclosed within a Link Layer frame (in its payload section):
 
-![Internet Layer packet](/static/internet-layer-packet-revised.png)
+![Internet Layer packet](static/internet-layer-packet-revised.png)
 
 Like a frame, an IP packet has a header and a payload. The payload comprises the
 data between sent between hosts. The header contains a source IP address and a

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Internet_fundamentals.md

@@ -24,7 +24,7 @@ Hence the Internet Protocol Suite is also known as "TCP/IP".
 The TCP/IP is a network stack comprising four layers, each with its own
 protocols. From the top:
 
-![TCP/IP stack diagram](/static/TCP_IP.png)
+![TCP/IP stack diagram](static/TCP_IP.png)
 
 - The [Link Layer](Link_Layer_of_Internet_Protocol.md) concerns communication
   between devices on the same local network. The transfer of information once it

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Joins_in_SQL.md

@@ -92,7 +92,7 @@ ON model.model_id = sales.model_id; -- Specify the match criteria
 We can represent the logical relationship that obtains between the `sales` and
 `model` tables as follows:
 
-![](/static/sql-inner-join.png)
+![](static/sql-inner-join.png)
 
 ## Outer joins
 
@@ -141,7 +141,7 @@ this would give us the following table in return:
 The logical relationship sustained between `sales` and `model` by a left inner
 join is represented in the following diagram:
 
-![](/static/sql-left-outer-join.png)
+![](static/sql-left-outer-join.png)
 
 #### Implementation
 
@@ -184,7 +184,7 @@ performed a right outer join this would give us the following table in return:
 The logical relationship sustained between `sales` and `model` by a right inner
 join is represented in the following diagram:
 
-![](/static/sql-right-outer-join.png)
+![](static/sql-right-outer-join.png)
 
 #### Implementation
 
@@ -226,7 +226,7 @@ generated:
 
 Represented by the following diagram:
 
-![](/static/sql-full-outer-join.png)
+![](static/sql-full-outer-join.png)
 
 #### Implementation
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Journey_of_GraphQL_query.md

@@ -4,4 +4,4 @@ tags: [graphql]
 
 # The journey of a GraphQL query
 
-![](/static/graphql-journey-two.svg)
+![](static/graphql-journey-two.svg)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Key_characteristics_of_GraphQL.md

@@ -54,7 +54,7 @@ client application.
 Client requests are sent over HTTPS and the data is typically returned in the
 form of JSON:
 
-![](/static/graphql-architecture.png)
+![](static/graphql-architecture.png)
 
 ## Implementation overview
 
@@ -132,15 +132,15 @@ each individual resource:
 
 The REST scenario:
 
-![](/static/REST_request-load.png)
+![](static/REST_request-load.png)
 
 The GraphQL scenario:
 
-![](/static/graphQL_request_load.png)
+![](static/graphQL_request_load.png)
 
 ### Abstraction of multiple services
 
-![](/static/graphql_multiple_resources.png)
+![](static/graphql_multiple_resources.png)
 
 ### Stops overfetching
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/LEDs.md

@@ -8,7 +8,7 @@ tags:
 LED' stands for **Light Emitting Diode**, a [circuit]() component that emits
 light. The symbol for an LED is displayed below:
 
-![](/static/diode-led.png)
+![](static/diode-led.png)
 
 A **diode** is a special kind of component that only permits current to flow
 through it in one direction. To achieve this it has very low resistance in one
@@ -16,7 +16,7 @@ direction to allow current flow and high resistance in the other direction to
 impede current flow. This feature of diodes is clearly represented in the
 generic diode circuit symbol:
 
-![](/static/diode.png)
+![](static/diode.png)
 
 An LED diode lights up when the right amount of current flows through it. A
 standard LED has a maximum current of 20mA. An appropriate

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Latches.md

@@ -43,7 +43,7 @@ The most succinct account of a latch:
 
 _The representation of an SR Latch in a digital circuit diagram_:
 
-![](/static/sr_latch_diagram.png)
+![](static/sr_latch_diagram.png)
 
 ## Creating a latch circuit
 
@@ -58,7 +58,7 @@ also an input of the other at a single stage in the sequence.
 
 The circuit is created as follows:
 
-![](/static/sr_latch_logic_circuit.png)
+![](static/sr_latch_logic_circuit.png)
 
 Interactive version:
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Lifecycle_methods.md

@@ -43,7 +43,7 @@ The final phase is unmounting: when the component is removed from the DOM:
 
 6. `componentWillUnmount()`
 
-![React component lifecycle](/static/react-lifecycle.png)
+![React component lifecycle](static/react-lifecycle.png)
 
 ## Side-effects: why lifecycle phases matter
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Link_Layer_of_Internet_Protocol.md

@@ -24,7 +24,7 @@ same is not true for other layers. For example a device like a laptop
 participates in all four layers up to the Application Layer but a network router
 does not:
 
-![Link Layer diagram](/static/link-layer-frame-revised.png)
+![Link Layer diagram](static/link-layer-frame-revised.png)
 
 ## MAC addresses
 
@@ -42,7 +42,7 @@ a specific MAC address. This is off-limits from the outside.
 Link Layer data is divided into small units called "frames". The anatomy of a
 frame is as follows:
 
-![Link Layer frame](/static/link-layer-frame-revised.png)
+![Link Layer frame](static/link-layer-frame-revised.png)
 
 The header contains the source and destination MAC address plus a descriptor of
 the type of data it contains. The data is the payload. The footer is used to

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Linux_disk_partitions.md

@@ -174,4 +174,4 @@ In our example above:
 
 ## Related notes
 
-![Creating a Linux partition table](/static/Creating_a_Linux_partition_table.md)
+![Creating a Linux partition table](static/Creating_a_Linux_partition_table.md)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Local_AWS_development_with_SAM.md

@@ -32,7 +32,7 @@ You will be able to call it after executing the above.
 
 This will be indicated by:
 
-![](/static/local-sam-docker.png)
+![](static/local-sam-docker.png)
 
 If we want to invoke the function directly we use:
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Logic_gates.md

@@ -92,7 +92,7 @@ tion) truth functional connective
 
 ### Symbol
 
-![](/static/and-gate-new-2.png)
+![](static/and-gate-new-2.png)
 
 ### Truth conditions
 
@@ -110,7 +110,7 @@ tion) truth functional connective
 
 ### Symbol
 
-![](/static/nand-gate-new.png)
+![](static/nand-gate-new.png)
 
 ### Truth conditions
 
@@ -139,7 +139,7 @@ NANDs alone.
 
 ### Symbol
 
-![](/static/or-gate-new.png)
+![](static/or-gate-new.png)
 
 ### Truth condition
 
@@ -168,7 +168,7 @@ t
 
 ### Symbol
 
-![](/static/xor-gate-new.png)
+![](static/xor-gate-new.png)
 
 ### Truth conditions
 
@@ -189,7 +189,7 @@ t
 
 ### Symbol
 
-![](/static/nor-gate-new.png)
+![](static/nor-gate-new.png)
 
 ### Truth conditions
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Logical_consistency.md

@@ -72,7 +72,7 @@ A
 has very important consequences for reasoning because if a set of propositions
 is inconsistent, any other proposition is derivable from it.
 
-![](/static/derivation_from_contradiction.png)
+![](static/derivation_from_contradiction.png)
 
 _A demonstration of the the consequences of deriving a contradiction in a
 sequence of reasoning._

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Logical_equivalence.md

@@ -41,4 +41,4 @@ Note that the property of equivalence stated in terms of derivablity above is
 identical to the derivation rule for the
 [material biconditional](Biconditional_Introduction.md):
 
-![bi-intro.png](/static/bi-intro.png)
+![bi-intro.png](static/bi-intro.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/MAC_addresses.md

@@ -11,7 +11,7 @@ an IP address which is logical.
 Each device on a [local network](./Link_Layer_of_Internet_Protocol.md) has a MAC
 as a unique identifier. It is a hardware-based, physical attribute of the
 device, typically permanently encoded onto a non-volatile memory chip attached
-to the ![network_card](/static/Network_card.md).
+to the ![network_card](static/Network_card.md).
 
 MAC addresses consist of 6 bytes (48-bits) represented as 12
 [hexadecimal_digits](Hexadecimal_number_system.md).

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Magnetic_core_memory.md

@@ -5,7 +5,7 @@ created: Friday, September 27, 2024
 
 # Magnetic core memory
 
-![](/static/magnetic-core-memory.jpg)
+![](static/magnetic-core-memory.jpg)
 
 Like [Magnetic_drum_memory](Magnetic_drum_memory.md), magnetic core memory was
 faster and more reliable than [delay_line_memory](Delay_line_memory.md) and
@@ -17,4 +17,4 @@ were arranged in a crisscross grid. A bead would be placed at the overlap of two
 copper threads. This constitutes a "core".A pulse of electric current would
 magnetise/de-magnetise the cores.
 
-![](/static/magnetic-core-closeup.jpg)
+![](static/magnetic-core-closeup.jpg)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Magnetic_drum_memory.md

@@ -8,7 +8,7 @@ created: Tuesday, September 24, 2024
 Along with the [Williams_Tube](Williams_Tube_memory.md), another early approach
 to RAM used in 1950s-1960s era of computing.
 
-![Magnetic drum](/static/magnetic-drum-memory.jpg)
+![Magnetic drum](static/magnetic-drum-memory.jpg)
 
 A magnetic drum was a metal cylinder coated with a magnetic material. Data was
 stored by magnetising small regions on the drum's surface. The drum would rotate

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Magnetic_tape.md

@@ -11,7 +11,7 @@ Used for data storage in early digital computers (broadly from the
 While the UNIVAC was not the first to use magnetic tape, it popularised the
 method due to its success and high profile.
 
-![Magnetic tape reader in IBM computer](/static/magnetic-tape-ibm.jpeg)
+![Magnetic tape reader in IBM computer](static/magnetic-tape-ibm.jpeg)
 
 It worked as follows. The tape was a long, narrow strip of plastic coated with a
 magnetic material. Data is recorded on the the tape by magnetising tiny
@@ -30,7 +30,7 @@ accommodated batch processing well. However its sequential nature meant it was
 slow at retreiving specific pieces of data as it would have to cycle through all
 the values stored on the tape.
 
-![Magnetic tape stored as casette](/static/magnetic-tape-disk.jpeg)
+![Magnetic tape stored as casette](static/magnetic-tape-disk.jpeg)
 
 It developed from open-reel tapes to cartridges and cassettes. It was superseded
 by hard disk drives and solid state drives.

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Matter_and_atoms.md

@@ -28,7 +28,7 @@ tags: [physics]
   can join to form sodium chloride. We call this **chemical bonding**.
 
 ## Atomic particles
-![](/static/atom-diagram.svg)
+![](static/atom-diagram.svg)
 
 
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Memory_Management_Unit.md

@@ -10,7 +10,7 @@ virtual memory space. It is a chip that sits between the CPU and the RAM and
 determines the physical location of the memory requested by the kernel as
 virtual memory.
 
-![Virtual memory diagram](/static/virtual-memory-diagram.jpg)
+![Virtual memory diagram](static/virtual-memory-diagram.jpg)
 
 ## Pages
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/MongoDB_Introduction.md

@@ -27,4 +27,4 @@ in RDB table: units that comprise the collection.
 
 A document is a container comprising key-value pairs in the manner of an object.
 
-![](/static/mongo-db-structure.svg)
+![](static/mongo-db-structure.svg)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Monitoring_processes_and_resources.md

@@ -22,7 +22,7 @@ time that they are utilising. You can also order by memory usage.
 
 _Here I have pressed `u` to show only the processes associated with my user:_
 
-![](/static/htop.png)
+![](static/htop.png)
 
 ### Main commands
 
@@ -131,7 +131,7 @@ using them. Without modifiers it outputs a huge amount of data. The best way to
 use it is to execute it against a specific PID. For example the below output
 gives me some useful info about which files VS Code is using:
 
-![](/static/lsof.png)
+![](static/lsof.png)
 
 ## System calls: `strace`
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Multiplexers_and_demultiplexers.md

@@ -16,7 +16,7 @@ input to a single output line.
 We have two inputs (A,B) plus a third input SEL (for "select"). Applying a value
 to SEL toggles the output between A and B.
 
-![](/static/MUX.png)
+![](static/MUX.png)
 
 Multiplexers can be used to build larger circuits by connecting the output of
 one multiplexer to the input of another. They are often used to implement data
@@ -35,7 +35,7 @@ As the name suggests, a demultiplexer reverses the functionality of a
 multiplexer. It receives a single input and based on the selection of the SEL
 input it channels it to either an A or a B output.
 
-![](/static/DMUX.png)
+![](static/DMUX.png)
 
 We can think of it as a distributor of a value into one of several possible
 channels.

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Negation_Elimination.md

@@ -13,4 +13,4 @@ with a true proposition from which you derive a contradiction, you start with
 the negation of a proposition, derive a contradiction and then assert the
 positive of the negated proposition you started out with.
 
-![](/static/negate-elim.png)
+![](static/negate-elim.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Negation_Introduction.md

@@ -12,4 +12,4 @@ declared in a sub-proof. If you can derive a contradiction from this assumption
 you are permitted to derive the negation of the auxiliary assumption in the main
 proof.
 
-![](/static/negate-intro.png)
+![](static/negate-intro.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Network_debugging.md

@@ -8,4 +8,4 @@ created: Monday, June 17, 2024
 
 ## Related notes
 
-![Network scanning](/static/Network_scanning.md)
+![Network scanning](static/Network_scanning.md)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Network_hosts.md

@@ -6,7 +6,7 @@ created: Saturday, August 03, 2024
 # Network hosts
 
 A network **host** or **node** is a single computing device attached to a
-![network](/static/Network_fundamentals.md)
+![network](static/Network_fundamentals.md)
 
 Hosts can act as servers or clients, or both.
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/NodeJS_scripts.md

@@ -26,7 +26,7 @@ if (require.main === module) {
 
 Basically we have a function that contains the main actions of the script. This
 is then invoked within `main` in the manner of a Bash or
-![Python script](/static/Single_file_Python_scripts.md)
+![Python script](static/Single_file_Python_scripts.md)
 
 This obviously requires the Node binary to be in your path and the script must
 be run with executable privileges.

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/OpenSearch.md

@@ -50,7 +50,7 @@ A cluster is the highest level of organisation within an OpensSearch domain that
 contains your indexed data. It processes all the search queries and handles
 tasks like indexing, searching, and managing documents.
 
-![](/static/opensearch-architecture.drawio.svg)
+![](static/opensearch-architecture.drawio.svg)
 
 A cluster comprises **nodes**. Nodes are individual servers that hold part of
 the cluster's data. Each node participates in the indexing and searching of the

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Operating_system_API.md

@@ -20,7 +20,7 @@ Whether using the GUI or a terminal emulator, the shell translates the user's
 commands into API calls. The API the invokes internal operating system code to
 perform the action.
 
-![OS API diagram](/static/OS-api.svg)
+![OS API diagram](static/OS-api.svg)
 
 ## Example: opening a file
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Package_management_in_NodeJS.md

@@ -29,7 +29,7 @@ We can pinpoint specific dependencies in the `package.json`, e.g.
 See whether your dependency version is out of date use `npm outdated`. This
 gives us a table, for example:
 
-![Pasted image 20220411082627.png](/static/Pasted_image_20220411082627.png)
+![Pasted image 20220411082627.png](static/Pasted_image_20220411082627.png)
 
 - _Latest_ tells us the latest release available from the developers
 - _Wanted_ tells us the version that our `package.json` rules target. To take

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Practical_walkthrough_Lambda_creation_within_AWS.md

@@ -8,17 +8,17 @@ tags: [AWS, aws-lambda, node-js]
 
 First we name the function and accept the defaults:
 
-![](/static/lambda_func_one.png)
+![](static/lambda_func_one.png)
 
 This presents us with the function dashboard - a graphical representation of the
 Lambda showing [triggers]() as an input and destination as an output:
 
-![](/static/lambda-func-two.png)
+![](static/lambda-func-two.png)
 
 Beneath this we have a code editor with the handler function with a basic
 boilerplate:
 
-![](/static/lambda-func-three.png)
+![](static/lambda-func-three.png)
 
 ## Adding a trigger
 
@@ -28,15 +28,15 @@ execute the handler.
 We will do this using [AWS API Gateway](AWS_API_Gateway.md). We
 select "Add trigger" from the dashboard view and input basic settings:
 
-![](/static/api-gateway-trigger.png)
+![](static/api-gateway-trigger.png)
 
 Now we see this step displayed in the dashboard:
 
-![](/static/lambda-overview.png)
+![](static/lambda-overview.png)
 
 With the endpoint and other settings displayed:
 
-![](/static/trigger-info.png)
+![](static/trigger-info.png)
 
 If we go to the endpoint URL
 (`https://4kjqwbvd7g.execute-api.us-east-1.amazonaws.com/default/myFirstFunction`),
@@ -74,4 +74,4 @@ We get `Hello Thomas` as output.
 For a more advanced API with multiple endpoints and parameters, it's easiest to
 use Postman:
 
-![](/static/postman-lambda.png)
+![](static/postman-lambda.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Prime_factorization.md

@@ -17,11 +17,11 @@ main approaches to this:
 > $n$. We then repeat this process with the resulting factors working
 > recursively until the numbers we are left with are primes.
 
-![Untitled Diagram-Page-1.drawio.png](/static/Untitled%20Diagram-Page-1.drawio.png) _The
+![Untitled Diagram-Page-1.drawio.png](static/Untitled%20Diagram-Page-1.drawio.png) _The
 prime factors of 27 are 2, 3, 3_
 
 it doesn't matter which products we choose as the interim factors, we should
 always reach the same outcome:
-![Untitled Diagram-Page-3.drawio 1.png](/static/Untitled%20Diagram-Page-3.drawio%201.png)
+![Untitled Diagram-Page-3.drawio 1.png](static/Untitled%20Diagram-Page-3.drawio%201.png)
 
-![Untitled Diagram-Page-2.drawio.png](/static/Untitled%20Diagram-Page-2.drawio.png)
+![Untitled Diagram-Page-2.drawio.png](static/Untitled%20Diagram-Page-2.drawio.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Processes.md

@@ -19,7 +19,7 @@ a container in which a program runs. This container includes:
 - other information about the state of the process
 
 Other than the `init` process started by the kernel (PID1) (see
-![systemd](/static/systemd.md)), every process has a parent process that started it.
+![systemd](static/systemd.md)), every process has a parent process that started it.
 This parent-child relationship creates a tree of processes.
 
 It is possible that a parent process will terminate before one of its child
@@ -29,7 +29,7 @@ processes. In this instance the child becomes an orphan. When this occurs in
 Below, I have used the `pstree` utility to list all the running processes on my
 machine hierarchically.
 
-![diagram of `pstree` output](/static/ps-tree.png)
+![diagram of `pstree` output](static/ps-tree.png)
 
 Children are represented vertically and horizontally.
 
@@ -49,8 +49,8 @@ _processID_ or just _PID_.
 
 ## Related notes
 
-![systemd](/static/systemd.md)
+![systemd](static/systemd.md)
 
-![ps](/static/ps.md)
+![ps](static/ps.md)
 
-![Monitoring processes and resources](/static/Monitoring_processes_and_resources.md)
+![Monitoring processes and resources](static/Monitoring_processes_and_resources.md)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Push_buttons.md

@@ -16,11 +16,11 @@ pairs.
 To create a breakable circuit we would connect a signal-in cable to the top left
 at row 23 and a signal-out cable to the bottom-right at row 25.
 
-![Push button legs diagram](/static/push-button-legs.png)
+![Push button legs diagram](static/push-button-legs.png)
 
 _The correct use of a push button where the button breaks the circuit_
 
-![](/static/correct_push_button.jpg)
+![](static/correct_push_button.jpg)
 
 To override the switch functionality and just have the button work as a
 connector we would connect the signal-in to the row 23 input and the row 23
@@ -29,7 +29,7 @@ output.
 _The push button being used as simple connector which does not break the
 circuit:_
 
-![](/static/incorrect_push_button.jpg)
+![](static/incorrect_push_button.jpg)
 
 ## Related notes
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Queue.md

@@ -7,7 +7,7 @@ tags:
 
 _Visualization of the queue data structure_
 
-![queue.svg](/static/queue.svg)
+![queue.svg](static/queue.svg)
 
 ## A queue is a sequential data structure and most similar to a stack
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Recursion.md

@@ -15,7 +15,7 @@ another example. Also fractals display recursive properties.
 ## Schema
 
 The general structure of a recursive function is as follows:
-![javascript-recursion.png](/static/javascript-recursion.png)
+![javascript-recursion.png](static/javascript-recursion.png)
 
 ## Why use recursive functions?
 
@@ -129,4 +129,4 @@ if (num > 0) {
 }
 ```
 
-![javascript-factorial 1.png](/static/javascript-factorial%201.png)
+![javascript-factorial 1.png](static/javascript-factorial%201.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Reducing_fractions.md

@@ -91,7 +91,7 @@ A better method is to utilise [prime factorization](Prime%20factorization.md)
 combined with the canceling technique.
 
 First we find the prime factors of both the numerator and denominator:
-![drawio-Page-7.drawio.png](/static/drawio-Page-7.drawio.png)
+![drawio-Page-7.drawio.png](static/drawio-Page-7.drawio.png)
 
 This gives us:
 
@@ -161,7 +161,7 @@ _Reduce the following fraction to its lowest terms: $$\frac{14y^5}{-35y^3}$$_
 
 - Apply [Prime factorization](Prime%20factorization.md):
 
-  ![draw.io-Page-8.drawio.png](/static/draw.io-Page-8.drawio.png)
+  ![draw.io-Page-8.drawio.png](static/draw.io-Page-8.drawio.png)
 
 - Cancel the coefficients and variable parts
 
@@ -177,7 +177,7 @@ $$\frac{- 12xy^2}{ - 18xy^2}$$_
 
 - Apply [Prime factorization](Prime%20factorization.md):
 
-![draw.io-Page-8.drawio 1.png](/static/draw.io-Page-8.drawio%201.png)
+![draw.io-Page-8.drawio 1.png](static/draw.io-Page-8.drawio%201.png)
 
 - Cancel the coefficients and variable parts
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Reiteration.md

@@ -11,4 +11,4 @@ within the main proof or a more deeply nested sub-proof. Reiteration allows us
 to reuse any assumptions, or propositions derived from assumptions, without
 having to introduce a new dependency with another assumption.
 
-![](/static/reiteration.png)
+![](static/reiteration.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Relation_between_kernel_and_CPU.md

@@ -25,7 +25,7 @@ is the first instruction that the CPU fetches and this is what allows the kernel
 to play its mediatory role. However most of the fetch, decode, execute cycles of
 the CPU take place independently of the kernel.
 
-![](/static/kernel-cpu-interaction.svg)
+![](static/kernel-cpu-interaction.svg)
 
 > Fetch decode and execute refer to processor pipeline stages. They occur
 > automatically as part of normal processor operation, the kernel doesn’t

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Relational_database_architecture.md

@@ -7,7 +7,7 @@ tags:
 
 Tables, fields and records are the basic building blocks of databases
 
-![](/static/FL-Databases-1.5_terminology.gif)
+![](static/FL-Databases-1.5_terminology.gif)
 
 ## Table
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Relays.md

@@ -23,7 +23,7 @@ circuit can be used the trigger the operation of another circuit.
 
 ## Operation
 
-![Operation of a relay](/static/relay.gif)
+![Operation of a relay](static/relay.gif)
 
 Current flows through the electromagnet which creates a magnetic field. This
 field attracts the armature which then moves to open or close the contacts. When

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Role_of_memory_in_computation.md

@@ -24,7 +24,7 @@ has completed and the OS kernel is itself loaded into memory.
 > sends to the CPU not just the first instruction in the requested file but also
 > a number of instructions that immediately follow it.
 
-![Memory flow diagram](/static/memory-flow.svg)
+![Memory flow diagram](static/memory-flow.svg)
 
 Every part of the above process - the journey accross the bus, the lookup in the
 controller, the operations on the DRAM, the journey back accross the bus - takes

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/SAM.md

@@ -57,7 +57,7 @@ Default output format [None]:
 This information can be found in the Security Credentials section of the given
 [IAM](zk/AWS_User_management_and_roles.md#iam) user:
 
-![](/static/access-key-aws.png)
+![](static/access-key-aws.png)
 
 ### Switching between credentials
 
@@ -147,7 +147,7 @@ the Lambda.
 
 The full template is below:
 
-![](/static/sam-template-yaml.png)
+![](static/sam-template-yaml.png)
 
 ## Adding our own code
 
@@ -206,7 +206,7 @@ exports.clock = async (event) => {
 
 The directory structure is as follows:
 
-![](/static/sam-directory.png)
+![](static/sam-directory.png)
 
 When we call the API Gateway path `/clock` with `GET`, our function will be
 triggered.
@@ -227,7 +227,7 @@ We need to install the runtime dependencies for the function. We do this by
 running `sam build`. This ignores test files and development dependencies and
 installs the project dependencies and source files to a temporary subdirectory.
 
-![](/static/sam-build.png)
+![](static/sam-build.png)
 
 The build directory is `.aws-sam/build/`. There will be a subdirectory for each
 of our files.
@@ -242,7 +242,7 @@ The packaging proces will first archive all of the project artefacts into a zip
 file and then upload that to [S3](zk/AWS_S3.md). A reference to this S3 entity
 is then provided to CloudFormation.
 
-![](/static/s3-package-again.svg)
+![](static/s3-package-again.svg)
 
 The command is as follows:
 
@@ -271,15 +271,15 @@ CloudFormation. In CloudFormation each individual project is called a **stack**.
 
 If we then go to Cloud Formation we will see the deployed application.
 
-![](/static/cloud-formation-stack.png)
+![](static/cloud-formation-stack.png)
 
 ## Call the endpoint
 
 If we now go to the Lambda console, we will see our function listed, and the API
 Gateway endpoint under `triggers`:
 
-![](/static/gateway-trigger.png)
+![](static/gateway-trigger.png)
 
 We can then call this from Postman to check everything is working as it should:
 
-![](/static/postman-aws-output.png)
+![](static/postman-aws-output.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Set_DNS_settings.md

@@ -65,5 +65,5 @@ nameserver fded:2060:8671:0:681:9bff:fe9b:37f0
 
 ## Related notes
 
-![Network scanning](/static/Network_scanning.md)
-![Network debugging](/static/Network_debugging.md)
+![Network scanning](static/Network_scanning.md)
+![Network debugging](static/Network_debugging.md)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Single_file_Python_scripts.md

@@ -41,4 +41,4 @@ if __name__ == "__main__":
 
 ## Related notes
 
-![Python modules and imports](/static/Python_modules_and_imports.md)
+![Python modules and imports](static/Python_modules_and_imports.md)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Stacks.md

@@ -3,9 +3,9 @@ tags:
   - data-structures
 ---
 
-_A stack visualised vertically_ ![stack2.svg](/static/stack2.svg)
+_A stack visualised vertically_ ![stack2.svg](static/stack2.svg)
 
-_A stack visualised horizontally_ ![stack1.svg](/static/stack1.svg)
+_A stack visualised horizontally_ ![stack1.svg](static/stack1.svg)
 
 ## A stack is a linear data structure that observes LIFO
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Step_functions_and_state_machines.md

@@ -38,11 +38,11 @@ The diagram below shows the definition of a given state machine. On the left is
 the JSON specification. On the right is a diagramatic representation that shows
 the control flow and all possible steps that comprise a given pathway / state:
 
-![](/static/state-machine-definition.png)
+![](static/state-machine-definition.png)
 
 For each execution of the state machine (each time it is triggered) you can
 review the runtime. The flow diagram will highlight green to show the given
 pathway, and you can also see the inputs and outputs for each step and any
 errors:
 
-![](/static/state-machine-execution.png)
+![](static/state-machine-execution.png)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Strategies_for_constructing_proofs.md

@@ -58,7 +58,7 @@ in the first conjunct. We can get this simply but applying
 
 So far we have:
 
-![](/static/step1.png)
+![](static/step1.png)
 
 Now we just need to get $D$ from the proposition at line 3. This is easy since
 we already have access to the consequent of the biconditional at line 1.
@@ -66,7 +66,7 @@ Therefore we can apply
 [Biconditional Elimination](Biconditional_Elimination.md)) at line
 3 to get $D$. We are now halfway there:
 
-![](/static/step2.png)
+![](static/step2.png)
 
 Next we need to turn our attention to deriving $L \lor A$. How can we obtain $L$
 ? Well it is contained within the first conjunct of the assumption on line 2.
@@ -77,7 +77,7 @@ $\lnot N$ as an assumption on the first line, so we can use
 [Conditional Elimination](Conditional_Elimination.md) to derive
 $L$. These two steps give us:
 
-![](/static/step3.png)
+![](static/step3.png)
 
 Now we need to get from $L$ to $L \lor A$. This is really straightforward
 because by using
@@ -87,7 +87,7 @@ constituent parts of the conjunction that is the conclusion, we can combine them
 with [Conjunction Introduction](Conjunction_Introduction.md) as we
 had planned at the outset.
 
-![](/static/step4.png)
+![](static/step4.png)
 
 ### A further example
 
@@ -109,7 +109,7 @@ approach is therefore to seek to derive the antecedent ($\lnot L$) and then use
 [Biconditional Elimination](Biconditional_Elimination.md) to
 extract the target sentence which is the consequent.
 
-![proof.png](/static/proof.png)
+![proof.png](static/proof.png)
 
 ## Proving theorems
 
@@ -127,13 +127,13 @@ Our strategy here is to identify the main connective in the proposition we want
 to derive (the material conditional). We then assume the antecedent and attempt
 to derive the consequent from it.
 
-![](/static/theoremproof.png)
+![](static/theoremproof.png)
 
 ## A complex theorem proof
 
 _Prove_ $\vdash (\lnot A \lor \lnot B) \leftrightarrow \lnot(A \land B)$
 
-![](/static/dsfdsfsdfwe.png)
+![](static/dsfdsfsdfwe.png)
 
 ### Walkthrough
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/The_History_of_Computing_Swade.md

@@ -52,9 +52,9 @@ First three phases of digital electronic computers:
 Focus was chiefly on creating a desktop calculator capable of four-function
 arithmetic.
 
-![Photograph of Pascaline](/static/pascaline.jpg)
+![Photograph of Pascaline](static/pascaline.jpg)
 
-![Photograph of replica of Leibniz stepped drum machine](/static/leibniz-stepped-drum.jpg)
+![Photograph of replica of Leibniz stepped drum machine](static/leibniz-stepped-drum.jpg)
 
 The main contenders were the Pascaline of #Pascal (which only did cumulative
 addition) and the wheel or "stepped drum" calculator of #Leibniz that could do
@@ -63,9 +63,9 @@ all operations (in theory).
 Subsequent designs were based on these artefacts. In practice, neither worked
 consistently well with the carriage of tens remaining a sticking point.
 
-![Photograph of Arithmometer](/static/arithmometer.jpg)
+![Photograph of Arithmometer](static/arithmometer.jpg)
 
-![Photograph of Comptometer](/static/comptometer.png)
+![Photograph of Comptometer](static/comptometer.png)
 
 The arithmometer (crank driven) and comptometer (key-driven) were descendents of
 the Leibniz design that became commercially viable by the 19th century along
@@ -148,7 +148,7 @@ This used fluid to model the workings of the British economy. It consisted of a
 series of transparent plastic tanks and pipes which were fastened to a wooden
 board.
 
-![Philips Hydraulic Computer](/static/hydraulic_computer.jpg)
+![Philips Hydraulic Computer](static/hydraulic_computer.jpg)
 
 Each tank represented some aspect of the UK national economy and the flow of
 money around the economy was illustrated by coloured water. At the top of the
@@ -165,7 +165,7 @@ the Philips Computer it was general enough to be used to solve problems from
 different contexts. Examples of these contexts: heat flow, ballistics,
 mechanics, population growth, chemical interactions, astronomy.
 
-![Differential Analyser](/static/differential_analyser_bush.jpg)
+![Differential Analyser](static/differential_analyser_bush.jpg)
 
 It was about the size of a room and used shafts, motors, discs and wheels to
 work.
@@ -211,7 +211,7 @@ _Automatic Sequence Controlled Calculator_ (ASCC). A general-purpose
 electro-mechanical computer it was most famously used at Los Alamos by
 #vonNeumann to calculate the blast yield of the atomic bomb.
 
-![Harvard Mark One](/static/Harvard_Mark_1.jpg)
+![Harvard Mark One](static/Harvard_Mark_1.jpg)
 
 It was more than 15m in length and weighed 5 tonnes comprising over 750,000
 parts. It used paper tape and punched cards for input/output.
@@ -223,9 +223,9 @@ specific set of operations on numbers and nothing else. It used relays like the
 others. Its distinguishing feature was that it used a teletype for input rather
 than cards or paper tape.
 
-![Calculating panel of the CMC](/static/complex-number-calculator-bell-labs.jpg)
+![Calculating panel of the CMC](static/complex-number-calculator-bell-labs.jpg)
 
-![Teletype input of CMC](/static/stibitz-teletype.jpg)
+![Teletype input of CMC](static/stibitz-teletype.jpg)
 
 It comprised a panel (the calculating unit) and teletype (the input). One could
 remotely access the computer from the teletype in another location, providing it
@@ -233,7 +233,7 @@ was connected to Bell Lab's telephone network.
 
 #### Z3 (1941) - Konrad Zuse
 
-![Z3](/static/Zuse-Z3.jpeg)
+![Z3](static/Zuse-Z3.jpeg)
 
 First designed in 1938 and completed in 1941. Considered the first fully
 automatic, programmable digital computer although relay-based. Programs were
@@ -251,7 +251,7 @@ famously, the ENIAC.
 
 ### The Antanasoff-Berry Computer (1939 - 1942)
 
-![ABC Computer](/static/abc-computer.jpg)
+![ABC Computer](static/abc-computer.jpg)
 
 Fully automatic, digital electronic computer but not programmable or really
 general-purpose, being created to do linear equations. It took decimal input and
@@ -294,7 +294,7 @@ myriad factors: gun elevation, shell shape and weight, explosive charge,
 distance, wind, temperature etc. Previously this had been done by human
 computers under the aegis of the Ballistic Research Laboratory.
 
-![The main control panel of the ENIAC](/static/eniac.jpg)
+![The main control panel of the ENIAC](static/eniac.jpg)
 
 It was not completed until after VE day but was used at Los Alamos after the War
 and retired in 1955.
@@ -378,7 +378,7 @@ variety of different electronic methods for memory:
 
 #### Manchester Baby (1948)
 
-![The Manchester Baby Computer](/static/manchester_baby.png)
+![The Manchester Baby Computer](static/manchester_baby.png)
 
 - An experimental computer intended to create the
   [von Neumann architecture](CPU_architecture.md) using
@@ -391,7 +391,7 @@ variety of different electronic methods for memory:
 
 #### EDSAC (1949) J.Wilkes et al.
 
-![EDSAC](/static/EDSAC.jpg)
+![EDSAC](static/EDSAC.jpg)
 
 - _Electronic Delay Storge Automatic Computer_
 
@@ -413,7 +413,7 @@ variety of different electronic methods for memory:
     operations)
   - diagnostics: techniques for verifying program code and its correctness
 
-![Programming Digital Electronic Computer book](/static/programming_a_digital_electronic_computter.jpg)
+![Programming Digital Electronic Computer book](static/programming_a_digital_electronic_computter.jpg)
 
 - The key players wrote the first textbook on programming in 1951: _The
   Preparation of Programs for an Electronic Digital Computer_ (Wilkes, Wheeler,
@@ -437,7 +437,7 @@ variety of different electronic methods for memory:
 - Turing proposed a stored program architecture with high-speed memory. It would
   be more perfomant than the EDVAC as a result.
 
-![The Pilot ACE computer](/static/pilot-ace.jpg)
+![The Pilot ACE computer](static/pilot-ace.jpg)
 
 - Turing's actual design was not implemented as it was thought too ambitious
   given how powerful it would need to be. Instead a smaller prototype was made,
@@ -456,7 +456,7 @@ variety of different electronic methods for memory:
 
 ### IAS machines
 
-![The MANIAC computer](/static/MANIAC_computer.jpg)
+![The MANIAC computer](static/MANIAC_computer.jpg)
 
 Several machines were built at the Institute for Advanced Study utilising the
 "von Neumann" architecture and associated advancements such as vacuum-tubes and
@@ -468,7 +468,7 @@ widely studied making them influential outside of academia.
 
 ### UNIVAC (1951)
 
-![UNIVAC_computer](/static/univac-1.jpg)
+![UNIVAC_computer](static/univac-1.jpg)
 
 Mauchley and Eckert, who had designed the ENIAC left the Moore School and went
 into business: Eckert-Mauchley Computer Corporation. This was bought by
@@ -483,7 +483,7 @@ multiple means of input/output including: directly via an operator console
 (basically a typewriter keyboard), magnetic tape for input and output, along
 with punched cards.
 
-![UNIVAC operator console](/static/univac-operator-console.jpeg)
+![UNIVAC operator console](static/univac-operator-console.jpeg)
 
 It was the first computer specifically designed to include business and
 administrative use. This was underscored by its first client: the US Census
@@ -526,7 +526,7 @@ computer industry with the UNIVAC.
 
 ### IBM 701 ("Defense Calculator") (1952)
 
-![Control unit of the IBM 701](/static/ibm-701-control-unit.jpeg)
+![Control unit of the IBM 701](static/ibm-701-control-unit.jpeg)
 
 IBM's first electronic computer. It directly competed with the UNIVAC for
 government contracts. It followed the prevailing approach of vaccuum tubes for
@@ -538,14 +538,14 @@ manage payroll in business contexts.
 
 ### IBM 702 ("Tape Processing Machine") (1953)
 
-![Advertisement for the IBM 702](/static/ibm-add.jpeg)
+![Advertisement for the IBM 702](static/ibm-add.jpeg)
 
 Focused primarily on business applications and targetted at businesses rather
 than government contracts. Less powerful than the 701.
 
 ### IBM 650 (1953)
 
-![IBM 650](/static/ibm-650.jpg)
+![IBM 650](static/ibm-650.jpg)
 
 Low-cost general purpose machine using magnetic drum memory. Marketed as slower
 but more affordable than the 700 range. It was mass-produced unlike the others
@@ -553,7 +553,7 @@ which were built for specific customers. It was in fact the first mass-produced
 computer in the world. It proved the breakout star in IBMs initial line up and
 sometimes called "IBM's Model T".
 
-![IBM_650 console panel](/static/ibm-650-console-panel.jpg)
+![IBM_650 console panel](static/ibm-650-console-panel.jpg)
 
 IBM offerred 650s to univesities at a 60% discount on the condition that the
 universities would establish courses in computing. This was shrewd as it meant
@@ -568,7 +568,7 @@ vacuum-tubes.
 
 ### IBM 1401 (1959)
 
-![IBM 1401](/static/ibm-1401.jpg)
+![IBM 1401](static/ibm-1401.jpg)
 
 Another IBM mainframe. Transistors replaced vacuum-tubes. Magnetic core storage
 replaced magnetic drum storage. It was housed in rectangular light-blue cabinets
@@ -576,7 +576,7 @@ and the ubiquity of the 1401 in industry earned IBM the moniker 'Big Blue'.
 
 ### IBM System/360 (1964)
 
-![IBM 360](/static/ibm-360.jpg)
+![IBM 360](static/ibm-360.jpg)
 
 Named to suggest all-round compatibility - a family of mainframes designed to
 cover commercial and scientific applications. Considered one of history's most
@@ -586,7 +586,7 @@ Up until this point all IBM computers had a programming language unique to the
 specific processor. At that point there were about seven IBM computer models in
 active use and they were all incompatible with each other.
 
-![IBM 360 promo poster](/static/ibm-360-in-use.jpeg)
+![IBM 360 promo poster](static/ibm-360-in-use.jpeg)
 
 In contrast the 360 computers all used the same programming language. This meant
 they were interoperable with each others. Because the there were variants in the
@@ -599,7 +599,7 @@ Two devices that leveraged the new technology of
 [magnetic_core_memory](Magnetic_core_memory.md) where the Whirlwind and SAGE
 computers. The ENIAC was also updated to use magnetic cores.
 
-![Whirlwind magnetic core memory](/static/whirlwind-magnetic-cores.JPG)
+![Whirlwind magnetic core memory](static/whirlwind-magnetic-cores.JPG)
 
 The Whirlwind computer (1953) was a flight simulator and the first to use
 magnetic cores. Crucially was able to operate in realtime for output.
@@ -618,7 +618,7 @@ The resulting computer was SAGE (made by IBM) which was modelled on Whirlwind,
 using magnetic cores. SAGE computers were spread accross the continental US in
 sectors and managed by NORAD.
 
-![SAGE command post](/static/SAGE_command_post.jpg)
+![SAGE command post](static/SAGE_command_post.jpg)
 
 The SAGE system was operation between 1958-1984, receiving continual
 improvements and updates. In addition to magnetic cores it introduced many
@@ -676,7 +676,7 @@ mid-1960s. The introduced the PDP-8 in 1965 (Programmed Data Processor). The
 PDP-8 used transisotrs and magnetic core memory. It was affordable to smaller
 businesses if not yet, consumers.
 
-![The PDP-8](/static/540px-PDP-8_(1).jpg>)
+![The PDP-8](static/540px-PDP-8_(1).jpg>)
 
 The internals were made public and DEC encouraged making the machine extensible
 by users being permitted to create their own programs and specialised
@@ -702,7 +702,7 @@ the Intel 4004 - was the microprocessor combined with three other ICs
 (comprising 2.3k transistors) that comprised the fundamental building blocks of
 the #vonNeumann architecture.
 
-![Intel 4004 chip](/static/intel-4004.jpg)
+![Intel 4004 chip](static/intel-4004.jpg)
 
 However it took until the Apple II in 1977 for the phrase "personal computer" to
 enter the lexicon and become an identifiable class.
@@ -719,7 +719,7 @@ required manual assembly. It was released by Micro Instrumentation Telemetry
 Systems (MITS) in 1975. It couldn't do much but had expansion capability
 (memory, teletype interface, casette player for data storage).
 
-![Altair 8800](/static/altair-8800.jpg)
+![Altair 8800](static/altair-8800.jpg)
 
 Bill Gates and Paul Allen made a proposal to MITS: they would write software
 that would allow users to program the Altair in BASIC. They agreed and were
@@ -730,7 +730,7 @@ Around the same time, Steve Wozniak (member of the Homebrew club) built the
 Apple I as a single-board hobbyist project. He made this available to buy via
 mail order and formed Apple with Steve Jobs in 1976 to manage the enterprise.
 
-![Apple I](/static/apple1.jpg)
+![Apple I](static/apple1.jpg)
 
 By 1977 they had investment capital and brought out the Apple II. This was sold
 preassembled with casing and required no soldering. It had expansion slots for
@@ -742,7 +742,7 @@ allowed it to run the CP/M OS (created by the company Digital Research) giving
 ready-made access to software such as a word-processor, spreadsheets and
 databases.
 
-![Apple 2](/static/apple2.jpg)
+![Apple 2](static/apple2.jpg)
 
 Other competitors in the PC market at this time were Radioshack's TRS-80 and the
 Commodore PET.
@@ -754,7 +754,7 @@ real interest. When PCSs started being used by businesses and their capacity
 grew to include typical business applications (databases, spreadsheets) it
 sensed an incursion into its market.
 
-![IBM PC](/static/ibm-pc.jpg)
+![IBM PC](static/ibm-pc.jpg)
 
 Thus, in 1981, IBM launched the "IBM Personal Computer" which rapidly became the
 industry standard. This had the effect of legitimising the concept of a PC.

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/The_Little_Man_computer.md

@@ -9,7 +9,7 @@ principles. It has all the CPU components we have detailed above. It is
 programmed in machine code but for simplicity it uses the denary rather than the
 binary number system.
 
-![LMC_5.gif](/static/LMC_5.gif)
+![LMC_5.gif](static/LMC_5.gif)
 
 On the left is the instruction set. Each number constitutes and execution
 routine and the `xx` stand for the address in RAM that the execution will work

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/The_memory_hierarchy.md

@@ -8,4 +8,4 @@ created: Friday, July 12, 2024
 The diagram below compares the different forms of memory within a computing
 device in terms of speed, monetary cost and capacity:
 
-![Memory hierarchy diagram](/static/Memory-Hierarchy.jpg)
+![Memory hierarchy diagram](static/Memory-Hierarchy.jpg)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Theorems_and_empty_sets.md

@@ -14,7 +14,7 @@ the case that the starting set contains members. The set can in fact be empty.
 
 _Demonstration_
 
-![](/static/proofs-drawio-Page-5.drawio_2.png)
+![](static/proofs-drawio-Page-5.drawio_2.png)
 
 We see in this example that there is no starting set and thus no primary
 assumptions. Instead we start with nothing other than the proposition we wish to

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Threads.md

@@ -6,7 +6,7 @@ created: Wednesday, June 26, 2024
 
 # Threads
 
-A ![process](/static/Processes.md) is a running instance of a given program. A program
+A ![process](static/Processes.md) is a running instance of a given program. A program
 runs sequentially handling one task at a time, however we may need to run
 certain tasks in parallel.
 
@@ -39,4 +39,4 @@ by the process that the thread belongs to.
 
 ## Related notes
 
-![Processes](/static/Processes.md)
+![Processes](static/Processes.md)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Three_bit_counter.md

@@ -58,7 +58,7 @@ since the only state change we need is a single bit toggle three times that
 retains its value.
 
 Using these pulse patterns we can construct a circuit as follows:
-![](/static/3-bit-adder-diagram.png)
+![](static/3-bit-adder-diagram.png)
 
 <iframe src="https://circuitverse.org/simulator/embed/3-bit-counter-d33846e3-7538-427d-b4cc-dc64fdaf0af3?theme=default&display_title=false&clock_time=true&fullscreen=true&zoom_in_out=true" style="border-width:; border-style: solid; border-color:;" name="myiframe" id="projectPreview" scrolling="no" frameborder="1" marginheight="0px" marginwidth="0px" height="500" width="600" allowFullScreen></iframe>
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Transistors.md

@@ -21,7 +21,7 @@ represented by [voltage](Voltage.md) values within set parameters.
 There are different types of transistors but the simplest for the purposes of
 explanation are **bipolar junction transistors**.
 
-![BJT transistor terminals](/static/bjt-terminals.jpg)
+![BJT transistor terminals](static/bjt-terminals.jpg)
 
 The pins:
 
@@ -57,6 +57,6 @@ emitter of the other. If either voltage input is low then the voltage of the
 combined line is low (equivalent to the circuit being broken) and there is no
 current flowing.
 
-![](/static/and-transistor.png)
+![](static/and-transistor.png)
 
 // Add example of OR gate created with transistors

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Transport_Layer_of_Internet_Protocol.md

@@ -18,7 +18,7 @@ Protocol** (TCP).
 A TCP **fragment** fits within an IP packet's data section, giving us the
 following iteration of the network stack:
 
-![Transport layer fragment](/static/transport-layer-segment.png)
+![Transport layer fragment](static/transport-layer-segment.png)
 
 The segment header contains a destination network port number. The port number
 identifies the specific service or process on the host device which will receive

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Truth_trees.md

@@ -118,7 +118,7 @@ inconsistency in terms of truth trees:
 
 The following is a truth tree for the set ${P \lor Q, \sim P }$:
 
-![basic-open-tree 1.svg](/static/basic-open-tree%201.svg)
+![basic-open-tree 1.svg](static/basic-open-tree%201.svg)
 
 ### Interpretation
 
@@ -163,7 +163,7 @@ not the right hand side.
 The following is a truth tree for the set
 ${A & \sim B, C, \sim A \lor \sim B }$.
 
-![basic-closed-tree 1.svg](/static/basic-closed-tree%201.svg)
+![basic-closed-tree 1.svg](static/basic-closed-tree%201.svg)
 
 ### Interpretation
 
@@ -203,19 +203,19 @@ of each of the main connectives and these rules rely on logical equivalences
 
 ### Negated negation decomposition: `~~D`
 
-![negated-negation-decomposition-rule 2.svg](/static/negated-negation-decomposition-rule%202.svg)
+![negated-negation-decomposition-rule 2.svg](static/negated-negation-decomposition-rule%202.svg)
 
 Truth passes only if $P$ is true
 
 ### Conjunction decomposition: `&D`
 
-![conjunction-decomposition-rule.svg](/static/conjunction-decomposition-rule.svg)
+![conjunction-decomposition-rule.svg](static/conjunction-decomposition-rule.svg)
 
 Truth passes only $P$ and $Q$ are both true.
 
 ### Negated Conjunction decomposition: `~&D`
 
-![negated-conjunction-decomposition-rule.svg](/static/negated-conjunction-decomposition-rule.svg)
+![negated-conjunction-decomposition-rule.svg](static/negated-conjunction-decomposition-rule.svg)
 
 Truth passes if either $\sim P$ or $\sim Q$ is true. This rule is a consequence
 of the equivalence between $\sim (P & Q)$ and $\sim P \lor \sim Q$ , the first
@@ -223,13 +223,13 @@ of DeMorgan’s Laws.
 
 ### Disjunction decomposition: `vD`
 
-![disjunction-decomposition-rule.svg](/static/disjunction-decomposition-rule.svg)
+![disjunction-decomposition-rule.svg](static/disjunction-decomposition-rule.svg)
 
 Truth passes if either $P$or $Q$ are true.
 
 ### Negated Disjunction decomposition: `~vD`
 
-![negated-disjunction-decomposition-rule.svg](/static/negated-disjunction-decomposition-rule.svg)
+![negated-disjunction-decomposition-rule.svg](static/negated-disjunction-decomposition-rule.svg)
 
 Truth passes if both $P$ and $Q$ are false. This rule is a consequence of the
 equivalence between $\sim (P \lor Q)$ and $\sim P & \sim Q$, the second of
@@ -237,7 +237,7 @@ DeMorgan’s Laws.
 
 ### Conditional decomposition: `⊃D`
 
-![conditional-decomposition-rule.svg](/static/conditional-decomposition-rule.svg)
+![conditional-decomposition-rule.svg](static/conditional-decomposition-rule.svg)
 
 Truth passes if either $\sim P$ or $Q$ are true. This rule is a consequence of
 the equivalence between $P \supset Q$ and $\sim P \lor Q$ therefore this branch
@@ -248,11 +248,11 @@ has the shape of a disjunction with $\sim P$ , $Q$ as its disjuncts.
 Truth passes if both $P$ and $\sim Q$ are true. This is a consequence of the
 equivalence between $\sim (P \supset Q)$ and $P & \sim Q$.
 
-![negated-conditional-decomposition-rule.svg](/static/negated-conditional-decomposition-rule.svg)
+![negated-conditional-decomposition-rule.svg](static/negated-conditional-decomposition-rule.svg)
 
 ### Biconditional decomposition: `≡D`
 
-![biconditional-decomposition-rule.drawio(1).svg](/static/biconditional-decomposition-rule.drawio%281%29.svg)
+![biconditional-decomposition-rule.drawio(1).svg](static/biconditional-decomposition-rule.drawio%281%29.svg)
 
 Truth passes if either $P$ and $Q$ are true or $\sim P & \sim Q$ are true. This
 is an interesting rule because it combines the disjunction and conjunction tree
@@ -260,7 +260,7 @@ shapes.
 
 ### Negated biconditional decomposition: `~≡D`
 
-![negated-biconditional-decomposition-rule.drawio.svg](/static/negated-biconditional-decomposition-rule.drawio.svg)
+![negated-biconditional-decomposition-rule.drawio.svg](static/negated-biconditional-decomposition-rule.drawio.svg)
 
 Truth passes if either $P$ and $\sim Q$ is true or if $\sim P$ and $Q$ is true.
 
@@ -281,7 +281,7 @@ following heuristic techniques followed in order, facilitate this:
 
 Here are some examples of these rules applied:
 
-![complex-tree.svg](/static/complex-tree.svg)
+![complex-tree.svg](static/complex-tree.svg)
 
 Observe that here we don’t bother to decompose the sentence on line 1. This is
 because, having decomposed the sentences on lines 2 and 3 we have arrived at a
@@ -320,7 +320,7 @@ A logically false sentence cannot be true on any assignment. This is the same
 thing as an inconsistent set. Thus it will be represented in a truth tree as
 inconsistency which is disclosed via a closed tree.
 
-![logical-falsity-tree.svg](/static/logical-falsity-tree.svg)
+![logical-falsity-tree.svg](static/logical-falsity-tree.svg)
 
 ### Logical truth
 
@@ -369,7 +369,7 @@ equivalent.
 > Sentences $P$ and $Q$ are truth-functionally equivalent if and only if the set
 > $\sim (P \equiv Q)$ has a closed tree
 
-![logical-equivalence-tree.svg](/static/logical-equivalence-tree.svg)
+![logical-equivalence-tree.svg](static/logical-equivalence-tree.svg)
 
 ### Logical entailment and validity
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Turing_machines.md

@@ -20,7 +20,7 @@ of the tape is a head, which can either move left or right, and can read the
 symbols written in the cells. The head is also capable of erasing symbols and
 writing new symbols into the cells.
 
-![Turing_machines_01.gif](/static/Turing_machines_01.gif)
+![Turing_machines_01.gif](static/Turing_machines_01.gif)
 
 The direction that the head moves, which values it erases, and which values it
 writes in, are dependent on a set of instructions provided to the machine.

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Twos_complement.md

@@ -38,12 +38,12 @@ To derive the complement of an unsigned number:
    `0`
 2. Add one
 
-![](/static/unsigned-to-signed.png)
+![](static/unsigned-to-signed.png)
 
 To derive the unsigned equivalent of a signed number you invert the process but
 still make the smallest digit `1`:
 
-![](/static/signed-to-unsigned.png)
+![](static/signed-to-unsigned.png)
 
 ### Formal expression
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/VirtualMemory.md

@@ -74,4 +74,4 @@ superset of all available virtual memory. It can access user space virtual
 memory because it sets up the tables and locations, not because it is a subset
 of its own virtual memory.
 
-![Virtual memory diagram](/static/virtual-memory-diagram.jpg)
+![Virtual memory diagram](static/virtual-memory-diagram.jpg)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Virtual_private_cloud.md

@@ -17,7 +17,7 @@ are to remain isolated from the internet.
 
 The diagram below details a basic VPC configuration:
 
-![](/static/aws-vpc-example.png)
+![](static/aws-vpc-example.png)
 
 - Within a given AWS region we have created a VPC network.
 - This comprises public and private subnets

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Voltage.md

@@ -88,7 +88,7 @@ Kirchoff's Voltage Law:
 
 The application of the Law is illustrated in the following diagram:
 
-![](/static/voltage-drop.png)
+![](static/voltage-drop.png)
 
 The explanation for the voltage drop at the positions $V^{A}$ and $V^{D}$ are
 obvious enough: they are at the beginning and end of the loop so are equal to

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/What_are_disks.md

@@ -20,7 +20,7 @@ can write to and read from.
 
 The following diagram represents the basic anatomy of a disk device.
 
-![](/static/harddisk.png)
+![](static/harddisk.png)
 
 - A disk is divided up into [partitions](Partitions.md)
   which are subsections of the overall disk. The kernel presents each partition

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Why_computers_use_binary.md

@@ -15,7 +15,7 @@ to represent two states: on (1) and off (0) which corresponds to the switch on
 an electrical circuit. A single circuit representing the binary values of 1 and
 0:
 
-![multi_on_off 1.gif](/static/multi_on_off.gif)
+![multi_on_off 1.gif](static/multi_on_off.gif)
 
 It would be much more complicated to have to represent ten different states
 under the decimal number system, although denary computers do exist.
@@ -25,7 +25,7 @@ represent as large a binary number as we need. We just need one switch for every
 digit we want to represent. The switches used in modern computers are so cheap
 and so small that billions can be fitted on a single circuit board.
 
-![multiple_circuits.gif](/static/multiple_circuits.gif)
+![multiple_circuits.gif](static/multiple_circuits.gif)
 
 When we use the term 'switch' we actually mean the transistor components of a
 circuit. We don't need to know the physical details at this level but we can say

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/Williams_Tube_memory.md

@@ -17,6 +17,6 @@ created: Tuesday, September 17, 2024
 - Each dot position could be written to and read from and the pattern was
   constantly refreshed as the dots would fade over time.
 
-![A Williams CRT tube](/static/williams-tube.jpg)
+![A Williams CRT tube](static/williams-tube.jpg)
 
-![Memory dot pattern from a Williams Tube](/static/williams-tube-dots.jpg)
+![Memory dot pattern from a Williams Tube](static/williams-tube-dots.jpg)

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/index.md

@@ -11,9 +11,9 @@ is a [Zettelkasten](https://en.wikipedia.org/wiki/Zettelkasten) work in progess
 comprising notes from my self-directed study of software engineering and
 computer science.
  
-**Build ID:** d0ed26d0-cdc8-4643-8c09-445408195f9b
+**Build ID:** 280992a4-57c0-4395-82a5-94bb2aefe389
 
-**Published:** Sat 19 Oct 2024 13:00:06
+**Published:** Sun 20 Oct 2024 19:49:39
 
 ### Recent edits 
 
@@ -27,14 +27,8 @@ computer science.
 - [[Turing_machines]] 
 
 
-### All notes (463) 
+### All notes (462) 
 
-- [[0_Introduction]] 
-- [[1726814727_LUWV]] 
-- [[1_GET]] 
-- [[2_POST]] 
-- [[3_PUT]] 
-- [[5__Integrating_the_Mongo_database]] 
 - [[API_Gateway]] 
 - [[AWS_CLI]] 
 - [[AWS_SAM_and_Docker]] 
@@ -124,6 +118,11 @@ computer science.
 - [[Creating_a_Docker_image]] 
 - [[Creating_a_Linux_partition_table]] 
 - [[Creating_a_Mongo_schema_and_model]] 
+- [[Creating_a_RESTful_API_GET]] 
+- [[Creating_a_RESTful_API_Integrating_the_Database]] 
+- [[Creating_a_RESTful_API_Introduction]] 
+- [[Creating_a_RESTful_API_POST]] 
+- [[Creating_a_RESTful_API_PUT]] 
 - [[Creating_memory_with_NAND]] 
 - [[Cron]] 
 - [[Current]] 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/journald.md

@@ -13,7 +13,7 @@ all [kernel](The_kernel.md) processes. It is invaluable when tracing the source
 of problems and errors that may arise on the system level. It keeps a track of
 all kernal processes.
 
-![](/static/journald.png)
+![](static/journald.png)
 
 ## `journalctl`
 

neuron/280992a4-57c0-4395-82a5-94bb2aefe389/systemd.md

@@ -79,13 +79,13 @@ at `/usr/lib/systemd/system`. You shouldn't change or manipulate these files or
 attempt to add new config files here since they will be overwritten by the
 system.
 
-![](/static/systemd-global-files.png) _`systemd` global unit files_
+![](static/systemd-global-files.png) _`systemd` global unit files_
 
 Local definitions that relate to the specific user and where the user herself
 can define units are located in the _system configuration_ directory:
 `/etc/systemd/system`.
 
-![](/static/systemd-local-files.png)
+![](static/systemd-local-files.png)
 
 _`systemd` local unit files, specific to the currently logged-in user_
 

neuron/d0ed26d0-cdc8-4643-8c09-445408195f9b/1726814727_LUWV.md

@@ -1 +0,0 @@
-# Turing Mach

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zk/1726814727_LUWV.md

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-# Turing Mach