Solving exercises and working on projects are usually recommended in such cases. Here are some resources. Exercises: 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 Projects: Find something that'd help to solve a real world problem for you. For example, I'm on Linux and use the terminal for many things. I wanted a cli tool to do simple calculations. There's bc command, but it doesn't accept direct string and you need to set scale and so on. So, I looked up how to write a cli in Python (I went with built-in argparse module) and made a tool that'd solve my small use case. 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? Intermediate: Pydon'ts — Write elegant Python code, make the best use of the core Python features Python Distilled — this pragmatic guide provides a concise narrative related to fundamental programming topics such as data abstraction, control flow, program structure, functions, objects, and modules Advanced: Fluent Python — takes you through Python’s core language features and libraries, and shows you how to make your code shorter, faster, and more readable at the same time Serious Python — deployment, scalability, testing, and more Practices of the Python Pro — learn to design professional-level, clean, easily maintainable software at scale, includes examples for software development best practices Intuitive Python — productive development for projects that last DSA: Problem solving with algorithms and data structures — free interactive course Classic Computer Science Problems in Python — deepens your knowledge of problem solving techniques from the realm of computer science by challenging you with time-tested scenarios, exercises, and algorithms GitHub: Awesome algorithms — curated list of resources to learn and/or practice algorithms See also: Python resources — site where I collate such resources Answer from ASIC_SP on reddit.com