I just downloaded it and tried it up to 100. I wouldn't call it exercises.. it's more like flashcards, the levels seems kind of random and not really follow any set rule of progression but there is potential! I think if you wanted to push it, you should clearly stare the progression chart and what you currently learning and what's next (think Duolingo) as well as exercises at every end of chapters where you have to complete or write fully the code. My 2cts :) More on reddit.com

Here are some often recommended resources: Exercism , Hackinscience and Practicepython — these are all beginner friendly and difficulty levels are marked Adventofcode , Codewars , Python Morsels — includes more challenging exercises for intermediate to advanced level users Checkio , Codingame , Codecombat — gaming based challenges /r/dailyprogrammer — not active currently, but there's plenty of past challenges with discussions And here are some resources for projects: Projects with solutions — algorithms, data structures, networking, security, databases, etc Project based learning — web applications, bots, data science, machine learning, etc Books: The Big Book of Small Python Projects Tiny Python Projects /r/learnpython: What do you automate with Python at home? More on reddit.com

Very cool, you think you'll need any help in the future with this? Seems pretty complete but curious if you have additional components in mind. Regardless very cool, especially enjoyed looking at your code for doing the answer validation. More on reddit.com

Hey Brother, I appreciate your motivation for Python as a language and SQL as a database, I think that's a good combo to think about. Most of the exercises I've been exposed to came from necessity: like components of a project I wanted to conquer. If you (or anyone) are playing with the idea of learning data science related work, I can recommend taking a look at https://inferentialthinking.com/chapters/intro.html , it's a great online eli5 curriculum for learning data science and exploration. The exercises are through the lens of Python, and a UC Berkeley published package 'datascience'. It mirrors the functionality of Pandas for noobies in some respect. I like it anyway. Some of these I've played with in the past, but for real I just poked at CoPilot for some suggestions: Python Exercises: Machine Learning Plus - Python Exercises for Beginners: Python Exercises - Level 1 : This resource offers a variety of beginner-level Python exercises with solutions to help you practice basic concepts. PYnative: Python Exercises, Practice, Challenges : This site provides a wide range of Python exercises, from basic to advanced, along with solutions. CodeChef: Practice Python : Solve over 195 Python coding exercises online to boost your programming skills. Tech With Tim: 9 HOURS of Python Projects - From Beginner to Advanced : A comprehensive video tutorial with over 21 unique Python project walkthroughs. SQL Exercises: LearnSQL.com: Advanced SQL Practice: 10 Exercises with Solutions : This article provides challenging SQL exercises with detailed solutions to enhance your advanced SQL skills. Simplilearn: SQL With Python | Python Database Connectivity Tutorial : A video tutorial that covers SQL and Python database connectivity for beginners. Advanced SQL Tutorial With Examples : An advanced SQL tutorial with practical examples. PYnative: Python Database Programming Exercises : Practice Python database programming skills with step-by-step exercises using MySQL, PostgreSQL, or SQLite. EDIT: Spelling stuff weird. More on reddit.com