Python Requests: Learn to Handle HTTP Like a Pro

🔗 Use Python Instead of Postman to Interact with APIs | Complete HTTP Requests Tutorial

In this video, learn how to interact with RESTful APIs using Python and the Requests library instead of Postman. We walk through real examples of making GET, POST, DELETE, and PATCH requests directly from Python, and explain how you can monitor APIs effectively in production environments. Whether you're a backend developer, DevOps engineer, or learning API integrations, this tutorial will help you understand practical Python HTTP request workflows.

⏱️ Timestamps:
00:00 – Introduction: Using Python instead of Postman
00:07 – Setting up the Requests library
00:20 – Creating an HTTP function in Python
00:32 – Exploring different HTTP methods (GET, POST, PATCH, DELETE)
00:46 – Making a GET request to an API
01:00 – Parsing JSON response and printing data
01:14 – Running the Python script
01:23 – Verifying successful API response with status code 200
01:51 – Sending a POST request using Python
02:06 – Declaring request body and headers
02:24 – Executing the POST request with JSON payload
02:49 – Confirming response and checking the updated data
03:03 – Making a DELETE request in Python
03:33 – Deleting a specific to-do item via API
03:42 – Verifying deletion via GET request
03:51 – Making a PATCH request to update an item
04:11 – Modifying only the title field in the request body
04:46 – Executing the PATCH request and confirming update
05:02 – Real-world use case: API monitoring with Python
05:14 – Logging results to PostgreSQL and visualizing with Grafana
05:23 – Importance of continuous API monitoring with tools like Zabbix or Grafana

🔧 Tools Used:
Python requests library

RESTful API (To-Do example)

Postman (initial reference only)

PostgreSQL (for data storage example)

Grafana / Zabbix (for monitoring)

📌 Keywords:
python requests tutorial, how to call API in python, api monitoring with python, python vs postman, get post delete patch python, python api integration, python for backend, grafana monitoring, real-time API monitoring