REST API with Flask & SQL – Complete Python Guide
📌 REST API with Flask & SQL – Complete Python Guide (Beginner to Intermediate )
In this video, we walk through building a complete REST API using Flask and PostgreSQL, starting from scratch! Whether you're new to back-end development or brushing up on your Python API skills, this guide has everything you need – including hands-on examples with SQL, Postman testing, and error handling best practices.
🔧 We’ll cover CRUD operations (Create, Read, Update, Delete), safe database interaction, handling background tasks using threading, and much more.
⏱️ Timestamps
00:00 – Intro: Welcome to the video
00:03 – Overview of the content
00:05 – Getting started with API backend in Python
00:12 – SQL prerequisite recommendation
00:32 – Link to SQL playlist
00:41 – Visual explanation of API
01:02 – API methods: GET, POST, PUT, DELETE
01:13 – Role of API in data retrieval
01:51 – End-to-end flow: Client → API → DB
02:00 – Start with GET request
02:27 – Creating the todos table
03:02 – Inserting first to-do
03:47 – Checking inserted data
03:52 – Using Postman to send requests
04:18 – API route setup
04:41 – First GET request in Postman
05:02 – Data retrieval confirmation
05:18 – Database connection setup
06:00 – PostgreSQL shell usage
06:54 – Verifying API and DB data sync
07:40 – Error handling with try/except/finally
08:39 – Flask setup details
09:01 – Creating second route: GET specific to-do
09:52 – Inserting additional to-dos
10:42 – GET request with dynamic ID
11:24 – Using query parameters
12:00 – Explaining HTTP methods
12:32 – Starting DELETE route setup
13:01 – SQL injection explanation & prevention
14:39 – Committing changes after deletion
15:22 – Testing DELETE request
16:21 – Organizing routes with Postman collections
17:12 – Creating POST route to add new to-do
18:00 – Parsing JSON request data
19:48 – Inserting to DB with new data
21:17 – Returning inserted data
21:47 – Confirming new to-do creation
22:00 – Modifying a to-do with PATCH
23:56 – Testing updated to-do
25:01 – Simulating heavy backend task
26:28 – Issue: Function blocks API
28:04 – Using threading to avoid blocking
29:12 – Threading implementation
30:12 – Comparing API performance with and without threads
32:02 – Course wrap-up and what’s next
32:16 – Subscribe & future videos
💡 What You'll Learn
How to build a REST API with Flask
Safely connect and query a PostgreSQL database
SQL fundamentals: SELECT, INSERT, UPDATE, DELETE
Using Postman for API testing
Protecting your API against SQL injection
Background tasks with Python threading
Best practices for building scalable APIs
🔗 Helpful Links
📚 SQL Fundamentals Playlist
• The Complete SQL Tutorial: Learn Data...
🧪 Postman
https://www.postman.com/downloads/
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