# Learn Python Learn Python, one of the most popular, versatile, and in-demand programming languages. Whether you're just getting started or levelling up your coding skills, we'll help you learn Python through a mix of lessons and interactive coding challenges. [Start for free](/content/web/register/index.html) ## TECHNICKES ## PYTHON ### COURSE OVERVIEW **What is Python** Python is a versatile, powerful, and the fastest growing programming language in the world. It is used in data analysis, web development, task automations, and other fields. It can help you build interactive programs or create tools based on AI and machine learning. After completing this career path, you can work as a Python developer or a software engineer. ### BENEFITS **From ideas to code in seconds** You can only learn to code through practice. So our Python course is full of coding challenges to help you solidify and apply what you're learning. **Beginner-friendly** There are no prerequisites to start. Your dedication and commitment is what matters. **In-demand skills** Demand for Python developers is growing and is projected to grow by 16% by 2032, according to the [Bureau of Labor Statistics report from May 2022.](https://www.bls.gov/oes/2020/may/oes_nat.htm) ### CURRICULUM **Learn Python in 14 easy steps** 1. **Python Basics** Learn the Python basics and lay a strong foundation for everything else. [Link](/content/web/125/section/0/index.html) 2. **Types & Comparisons** Learn to store the result of comparisons in variables. [Link](/content/web/125/section/1/index.html) 3. **Conditional Statements** Code conditionals to build programs that make decisions. [Link](/content/web/125/section/2/index.html) 4. **Loops** Create loops to repeat lines of code. [Link](/content/web/125/section/3/index.html) 5. **Lists** Create lists to organize groups of values. [Link](/content/web/125/section/4/index.html) 6. **List Operations** Use methods to gain insights from the values in lists. [Link](/content/web/125/section/5/index.html) 7. **String Operations** Use methods to manipulate strings in useful ways. [Link](/content/web/125/section/6/index.html) 8. **Functions** Code functions to make code reusable and easier to read. [Link](/content/web/125/section/7/index.html) 9. **Tuples, Dictionaries, & Sets** Identify the correct structures to store data. [Link](/content/web/125/section/8/index.html) 10. **List Comprehensions** Use list comprehensions to make code more compact. [Link](/content/web/125/section/9/index.html) 11. **Classes** Create templates for objects using classes. [Link](/content/web/125/section/10/index.html) 12. **Object-Oriented Programming** Dive into OOP. Master the art of thinking in terms of classes and objects. [Link](/content/web/125/section/11/index.html) 13. **Modules** Use modules to extend your Python toolkit. [Link](/content/web/125/section/12/index.html) 14. **Errors & Exceptions** Interpret errors and exceptions that arise in code. [Link](/content/web/125/section/13/index.html) ### CURRICULUM **A few examples of what you’ll build in this course** - Shirt store inventory check Use Python to create a simple inventory program for a shirt store. - Art supplies Create a list of art supplies to make sure that artists have everything they need to paint! - Simplify module import Learn how to simplify and improve the commands for data analysis. ### FAQ **Frequently Asked Questions** **Is Python worth learning?** Knowing how to code in Python can open a lot of opportunities. Multiple companies use Python for data analysis, web development, task automation, and machine learning. Based on Glassdoor data from March 2024, there are currently over 9000 Python-related jobs with a median salary of $107,000/year. So, mastering Python will equip you with in-demand skills and high chances of landing a job in tech. **What do I need to know before starting this Python course?** There are no prerequisites. What's essential is that you're motivated to learn new skills and have a strong interest in coding. Your dedication is what matters the most. **Will I become employable after finishing this Python course?** We believe that anyone can have a sustainable and a rewarding career in tech. And this Python course is a great start for diving into Python. However, if you're serious about switching your career and becoming a professional Python developer, our [Python career path](/content/courses/python-development/index.html) can be a better fit. Check out multiple [success stories of our learners](/content/learner-stories/index.html) that already got jobs in tech. **Is Python Enough to Get Your First Developer Job?** Python is one of the best languages for beginners, but Python alone is usually not enough to get your first developer job. Most entry-level roles also expect problem-solving skills, GitHub projects, and some understanding of tools like APIs, databases, or front-end basics depending on the role. Python helps you build the foundation, but employers want to see how you apply it to real projects. That said, Python is often the best place to start because it is beginner-friendly and used across web development, automation, data science, and backend systems. The strongest path is learning Python first, then building small projects that prove you can solve real problems. **Should Beginners Learn Python or JavaScript First?** Python is usually the better first programming language for complete beginners because the syntax is simpler and easier to read. It helps new developers focus on logic and problem-solving without getting stuck on complex syntax rules. This makes Python a strong choice for automation, backend development, data science, and learning programming fundamentals. JavaScript is often the better choice if your main goal is front-end web development, since it runs directly in the browser and is essential for building interactive websites. If you are unsure where to start, Python is often the easiest entry point, while JavaScript becomes more important later if you want to build full web applications.