Free Online Python Course for Beginners: 72 lessons | CodeBasics
Free course for beginners

Python

Learning to program is a difficult and time-consuming process. Learning language syntax is the easiest and shortest part of the journey, but that doesn't mean that it's unimportant, it's where you've got to start. This course is about the basics of writing programs in Python. It gives you a springboard so that you can start writing meaningful programs
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Where is the Python programming language used?

Python is a powerful and versatile programming language widely used in web development, data analysis, machine learning, automation, cybersecurity, and fintech. Its simple syntax makes it easy to learn, and its high demand in the job market opens doors to careers in leading IT companies. Python allows you to quickly enter the tech industry and grow in various directions, from web application development to artificial intelligence. If you're looking to learn a flexible, in-demand, and future-proof language, Python is an excellent choice

Learning preview
What will you learn in the "Python" course?

You’ll learn the basic syntax of Python — a fundamental skill that enables you to understand other people's code and write your own programs. After the course, you’ll be able to create simple scripts, such as a calculator

Learning program

Python is a popular and promising language. It is often chosen as the first language to learn programming. We will learn Python from scratch, from the very basics. The first module is a springboard to writing meaningful programs. In it, we'll figure out how to give a computer a command in Python. We'll tell you what comments are and what they're for. On the example of checking your decisions on the site we'll consider what testing is and how to read test output. We'll explain why you shouldn't break grammar rules of the programming language.

Today's programs are created to serve businesses, help with daily life, and entertain. But they are still based on computation. The simplest and most basic subject in programming is arithmetic. In this module we will translate arithmetic operations into programming language, master the basic terminology - for example, how an operator differs from an operand. We will talk about the priority of operations. And at the end we will tell you what a linter is and why it can "swear".

Text in programming is called "strings," and this topic is not as simple as it may seem. How do you output a phrase that has both single and double quotes? What is an escape sequence? The module focuses on different aspects of writing text - we'll experiment with the output of different strings and talk about encoding.

Information can be put into special "repositories" and then used as many times as you like. These storages are called variables, and they help simplify code and reduce unnecessary repetition.

Continuing to study strings and their relationship to variables. We'll take a look at interpolation, character extraction, slice, and more.

Python is a language with strong typing and immutable primitive data types. What happens when we try to multiply a number by a string? How does Python know what type of data is in front of it? What is type conversion? You will find the answers to these questions in the current module.

There is a concept of "function" to express any arbitrary operation in programming. Functions are the building blocks from which programmers build systems. In this module we will learn how to use the functions we have already created. We will look at the function signatures in the documentation and figure out how to use them. We will learn about the standard libraries that hold thousands of functions. It is impossible to learn all the functions, but every programmer should know where to find the documentation about them.

The data we use in our programs can have important attributes. In Python, attributes are built right into the language. In addition to static properties, data also have methods - functions inside of properties. Properties and methods are just like expressions, like variables or function calls, which means they can be combined in all sorts of ways. These topics are covered in greater depth in separate courses about the object-oriented features of Python. In this module, we will cover the basics.

Defining your own functions makes writing and maintaining programs much easier. For example, being able to define functions allows you to combine complex (compound) operations into one - all the complexity can be hidden behind one simple function. Learning how to write functions is the first step towards truly useful programs. And we'll help you with that. In this module, you'll create your first function and learn how to give it a name that any developer will understand.

Logical expressions allow you to answer questions that arise while the program is running. Is the user authenticated? Is the subscription paid for? Is it a leap year? In this module, we will study functions-predicates - those that ask a question and answer it - true or false. We will practice writing such functions and move on to more complex logical expressions.

The job of predicate functions is to get the answer to a question. However, this usually isn't enough; you often need to perform a certain action depending on the answer. If and if-else are Python constructions that allow programmers to choose the desired behavior of the program depending on different conditions, often skipping some instructions and executing others. We'll analyse them in practice in this module.

Any code can be repeated dozens, thousands, millions of times. When we combine loops with the other tools we know, variables and conditions, it opens up many possibilities for building programs and complex systems. Here's a simple example. You need to find a specific phrase in a 500-page textbook. You remember the phrase, but not the page number. The easiest (and longest) way is to browse through the pages one by one until you find the right one. Loops are needed to perform these repetitive actions.
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How the training is organised
Convenient format
Everything you need to master new topics is on one screen. Theory, practice and live examples go hand in hand. The clear structure helps you to learn in a consistent manner and not to miss important details
Practice in the browser
You don't need to install anything - all tasks are performed right in your browser. Built-in code editor, console and automatic tests make learning comfortable. And if something fails, you can always see the teacher's solution
AI assistance without limits
AI explains topics, tells you how to solve assignments, and helps you at any time - like a personal tutor 24/7
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What is studied in the "Python" course and why is it necessary?

In the course, you will learn the basics of Python — one of the most popular and versatile programming languages. You will discover how to work with variables, functions, loops, conditional statements, lists, and dictionaries. This course will help you start programming from scratch, understand the logic of code, learn how to solve problems, and work with real-world examples. It is ideal for both beginners and those who want to structure their knowledge and take the first step in IT.

Why choose Python?

Python is one of the most popular and rapidly developing programming languages in the world, chosen for many reasons. Firstly, it is easy to learn due to its clear syntax, making it great for beginners. Secondly, Python is a versatile language: it is used in web development, automation, data analysis, machine learning, and other fields. Moreover, Python is in high demand in the job market — there are many vacancies and projects using it. The language has a large and active community, providing access to extensive documentation, libraries, and ready-made solutions. Finally, Python is supported at all levels — from educational courses to professional development. If you want to enter IT and learn to write efficient code, Python is an excellent choice

What to do after completing the "Python" course?

After finishing the course, you will have a solid foundation for development in various programming directions. If you plan to advance in your career, we recommend continuing your studies with more advanced courses: ✔️ Python for data analysis or machine learning ✔️ Web development with Python using Django or Flask ✔️ Automation and writing scripts ✔️ Backend development or working with APIs This way, you can build a strong portfolio and prepare for employment.

How is the "Python" course structured?

The course is conducted in an online format: you gain access to pre-recorded lessons with theory, interactive tasks, and tests. All practical assignments are automatically graded directly in the browser. The course is specifically designed for beginners, with simple explanations, step-by-step examples, and feedback.

How does the "Python" course help in a programmer's career?

Python is widely used across various fields — from web development and automation to data analysis, machine learning, and bot creation. By mastering Python, you open the door to many careers: developer, analyst, tester, data scientist. Companies value specialists who know Python for its simplicity, flexibility, and broad ecosystem.

Is a certificate provided at the end of the course?

A certificate is not provided, but you will gain practical knowledge and programming skills in Python. You will learn to write code, understand the logic of tasks, and work with functions, loops, and data structures. These skills are in demand in the job market and will help you with employment or further study.

How quickly can you master Python from scratch?

It depends on your pace and the amount of time you're willing to dedicate. Basic knowledge (variables, conditions, loops, functions) can be acquired in 2–4 weeks with regular study. To confidently solve practical tasks, a bit more time and practice will be required.

What knowledge is needed before starting the course?

No special preparation is required. The course is suitable even for those who have never programmed. If you already know what variables are or have worked with HTML, that’s a plus but not necessary. All topics are explained from scratch and accompanied by examples and practice.

Can you learn Python without knowing other programming languages?

Yes, Python is perfect as a first language. It is intuitive, easy to read, and helps quickly grasp the basics of programming, logical thinking, and algorithms. It's an excellent starting point, even if you have never written code before.

Can Python be used for mobile development?

Python is not the primary language for native mobile development (like Swift or Kotlin), but it can be used to create applications through frameworks like Kivy or BeeWare. Python is more commonly used for developing the backend of mobile applications, automation, and server-side programming.