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What to Do After Learning Python Basics

You've learned Python basics. What do you do next? This article is for people who are learning Python; we want it to be your roadmap so that you can save time on your journey to Python mastery.

This article was created to help people like you. You’ve just mastered the basics of Python and you feel quite comfortable writing simple scripts. Wow! You are a coder! But what's next?

Below you will find some ideas on how to smooth your development path and how to plan your career. There are many options, so choose one and start being awesome!

Python: A Beginner's Best Friend in the Coding World

Embarking on a coding journey can be both exciting and daunting for beginners. You might find yourself asking why learning Python is a good idea and how long it takes to learn Python.

Choosing the right programming language sets the foundation for success; in this regard, Python is ideal. With its simplicity, ease of learning, and versatility, Python has become the go-to language for individuals embarking on their coding journey, including business professionals. And if you haven't started yet, why not give it a go with one of our free Python courses?

I also recommend having a look at our Python Basics track. It is a set of 3 courses that cover Python syntax, key programming concepts such as conditional statements and loops, and basic data structures. You will also learn how to work with files; by the end of the course, you’ll be writing your own functions.

But what makes Python ideal for beginners?

First is its simplicity. Unlike other programming languages (such as Java), Python's simplicity is one of its greatest strengths. The language is designed to have a clean and readable syntax that resembles ordinary English. This simplicity makes learning Python a breeze. It allows beginners to focus on problem-solving rather than getting caught up in the intricacies of the language itself (and the many intricacies of compiling programs, but that’s another story).

Second, Python's gentle learning curve makes it a perfect fit for beginners. The language is known for its vast online resources, including tutorials, forums, and interactive learning platforms. Python's large and supportive community ensures you can find assistance and guidance whenever needed.

Finally, Python is a versatile programming language, with many opportunities for growth in various domains. Whether your interests lie in web development, data analysis, machine learning, Artificial Intelligence, scientific computing, or game development, Python has readily available libraries and frameworks. The versatility of Python enables beginners to explore different domains and discover their passions while building a solid foundation in programming.

Looking at Python’s history, it is clear that Python's popularity is due to its versatility, readable syntax, and supportive community. This makes learning Python an ideal choice for newcomers to programming.

Beyond Learning Python Basics: A Roadmap for Skill Development

Once you have learned Python basics, it's time to take the next steps to develop your skills further and maximize your learning experience. How do you go past the Python beginner stage? At, we offer a roadmap for continuing your Python journey and exploring the practical applications of Python.


Following this roadmap will expand your knowledge, deepen your understanding, and unlock exciting opportunities in Python programming.

Explore Advanced Python Concepts

To deepen your understanding of Python, delve into more advanced areas like object-oriented programming (OOP) or functional programming. Understanding these concepts will enable you to write more efficient, maintainable, and elegant Python code.

Expand Your Python Toolbox

Python offers a vast ecosystem of libraries and frameworks that can significantly enhance your programming capabilities. Start by exploring popular libraries such as NumPy and pandas for data manipulation and analysis, Matplotlib and seaborn for data visualization, Django and Flask for web development, TensorFlow and PyTorch for machine learning, and OpenCV for computer vision.

As you work on projects and explore new domains, seek out libraries tailored to your needs and interests.

Engage in Real-World Projects

Applying your Python skills to real-world projects is an excellent way to solidify your understanding and gain practical experience. Start by building small-scale projects that align with your interests, such as creating a web scraper, building a simple web application, or analyzing a dataset from Kaggle.

Similarly, you can contribute to open-source projects. These will enhance your Python programming skills, allow you to collaborate with experienced developers, and let you give back to the community.

Pursue Specialized Areas

Once you have learned the basics of Python, consider specializing in areas that align with your interests and career goals. This could include data science, machine learning, web development, scientific computing, or any other domain that excites you.

By following this skill development roadmap, you can confidently continue your Python journey – expanding your knowledge and unlocking exciting opportunities – and go beyond the Python beginner’s stage.

Remember, the key to maximizing your Python learning experience is to remain curious, embrace challenges, and keep coding.

Courses That Go Beyond Python Basics

To take your skills to the next level, the fastest way to delve deeper into intermediate and advanced concepts is probably through Python courses. Why? Because following a structured program saves time; you don’t have to search for new learning resources or plan your next move.

In this section, we will introduce you to some courses and tracks that will help you gain the knowledge and skills necessary to tackle more advanced Python projects.

Learn Programming with Python


If you want to reinforce your Python fundamentals and expand your knowledge, Learn Programming with Python is an excellent choice. This set of 5 interactive courses will take you beyond the Python basics. Completing this course will solidify your understanding of Python's core concepts and improve your programming skills.

Python for Data Science


Data science is a rapidly growing field that utilizes Python for data analysis, visualization, and machine learning. Our Python for Data Science course will introduce you to the tools and techniques required to work with data in Python. You will learn to use libraries (like pandas) for data manipulation, how to visualize data with Python, and how to work with different file formats. This course will equip you with the skills to extract insights from data and help businesses make informed decisions.

But at the end of the day, remember that the key to mastery is practice and continuous reading and learning. Don't hesitate to further explore Python's vast ecosystem of modules and libraries.

Get Hands-On Experience with Python Projects

Now it's time to apply your Python skills and embark on an exciting journey of hands-on projects. Projects provide a platform to tackle real-world challenges, reinforce your Python learning, and gain practical experience. Here are a few project ideas:

Web Scraper

Put your Python skills to use by building web scrapers that extract data from websites. You can scrape data for research, monitor prices, gather news, or analyze trends. Beautiful Soup and Scrapy are popular Python libraries that can assist you in web scraping projects.

Data Analysis

Leverage Python's data manipulation and visualization libraries to analyze and visualize data. When you work on real-world datasets, you gain experience in developing insights, identifying patterns, and presenting your findings. You can explore datasets related to finance, health, sports, or any domain that interests you.

Game Development

Unleash your creativity by developing games using Python. Pygame, for example, will help you build interactive and entertaining games. You can create simple games like Pong or embark on more complex projects involving artificial intelligence or multiplayer functionality.

Portfolio Website

Build a professional portfolio website using Python web frameworks like Django or Flask. Showcase your completed projects, provide code samples, and write about your journey as a Python developer. A portfolio website demonstrates your skills and serves as a hub for potential employers or clients to learn more about you.

Remember to actively seek projects aligned with your interests. Choosing exciting projects will keep your motivation high and make the learning process enjoyable.

Tips for Building a Professional Portfolio

Create a portfolio that highlights your completed projects, code samples, and contributions to open-source projects. Regularly update your portfolio with new projects to demonstrate your growth and keep it relevant. Platforms like GitHub and personal websites are great for hosting your portfolio.

Additionally, share your portfolio on professional platforms like LinkedIn to enhance your visibility in the job market.

Keep Learning Python!

Learning Python basics is just the beginning of an exciting journey. Embrace curiosity, explore new possibilities, and apply your Python skills through hands-on projects. Seek projects aligned with your interests to stay motivated and enjoy learning Python.

Remember to build a professional portfolio that shows your projects and share it on platforms like LinkedIn. (By the way, I recommend you follow the LearnPython profile there.) Embrace the rewarding path ahead and continue your Python learning adventure with enthusiasm and determination.

Happy coding, and see you on!