Autosave: 2023-04-08 11:42:25

Programming_Languages/Python/Modules/Network_requests_in_Python.md

@@ -0,0 +1,84 @@
+---
+categories:
+  - Programming Languages
+tags: [python, APIs]
+---
+
+# Making network requests in Python
+
+We can use the `requests` package to make API requests to [RESTful](/Databases/REST/RESTful_APIs.md) resources and handle the data as JSON.
+
+```sh
+pip install requests
+```
+
+Here is a basic architecture for making a `GET` request in Python.
+
+```py
+import requests
+
+def get_data(url):
+    response = requests.get(url)
+    if response.status_code == 200:
+        return response.json()
+    else:
+        raise Exception(
+            f"Failed to fetch data from API. Status code: {response.status_code}")
+
+def main():
+    url = "https://dummyjson.com/products/1"
+
+    try:
+        data = get_data(url)
+        print(data)
+
+    except Exception as e:
+        prin(e)
+
+if __name__ == "__main__":
+    main()
+```
+
+## Parsing returned data
+
+Running `main` returns:
+
+```py
+{
+   "id":1,
+   "title":"iPhone 9",
+   "description":"An apple mobile which is nothing like apple",
+   "price":549,
+   "discountPercentage":12.96,
+   "rating":4.69,
+   "stock":94,
+   "brand":"Apple",
+   "category":"smartphones",
+   "thumbnail":"https://i.dummyjson.com/data/products/1/thumbnail.jpg",
+   "images":[
+      "https://i.dummyjson.com/data/products/1/1.jpg",
+      "https://i.dummyjson.com/data/products/1/2.jpg",
+      "https://i.dummyjson.com/data/products/1/3.jpg",
+      "https://i.dummyjson.com/data/products/1/4.jpg",
+      "https://i.dummyjson.com/data/products/1/thumbnail.jpg"
+   ]
+}
+```
+
+This is JSON but in Python is a [dictionary](/Programming_Languages/Python/Syntax/Dictionaries_in_Python.md)
+
+We can use standard dictionary methods to handle the data. For example, we'll add to the existing `try` block:
+
+```py
+example_key = "brand"  # Replace with the key you want to access from the JSON data
+    if example_key in data:
+        print(f"Value of '{example_key}':", data[example_key])
+    else:
+        print(f"'{example_key}' not found in the JSON data")
+```
+
+Which, if successful, outputs:
+
+```
+Value of 'brand': Apple
+```

Programming_Languages/Python/Syntax/Lists_in_Python.md

@@ -150,6 +150,16 @@ print(root_list)
 # ['John', [1, 43.5, 'Phoebe', True], ['apple', 'orange', 31], 'Denise']
 ```
 
+## Merging (flattening) lists
+
+```py
+list1 = [1, 2, 3]
+list2 = [4, 5, 6]
+
+merged_list = list1 + list2
+print(merged_list)  # Output: [1, 2, 3, 4, 5, 6]
+```
+
 ## List comprehension
 
 > List comprehension is an older feature of Python. Now the same functionality can be achieved with greater concision using functional methods like `map` and `filter`. But you may see it used in older code.