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The Complete Python Course | Learn Python by Doing in 2026

Name: The Complete Python Course | Learn Python by Doing in 2026
Rating: 4.5 (22967 reviews)

Go from Beginner to Expert in Python by building projects. The best investment for your Python journey!

Created byCodestars • over 2.5 million students worldwide!, Jose Salvatierra, Rob Percival, Teclado by Jose Salvatierra

Last updated 2/2026

English

What you'll learn

From foundations to expert, learn about every major Python topic, working with Python 3.
Write professional-grade Pythonic code with all the best practices and avoiding common pitfalls.
Master Object-Oriented Programming and structure your Python programs like a professional.
Swiftly understand complex topics like decorators, algorithms, and asynchronous programming in Python.
Automate extracting data from websites using web scraping libraries like BeautifulSoup and Selenium.
Learn how to write desktop applications with Python and Tkinter.
Interact with REST APIs using Python and build a currency converter!
Develop a life-long love for programming with Python!

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

Course content

24 sections • 346 lectures • 35h 16m total length

Welcome to this course!2:28
Overview of the course curriculum2:48
Our Python coding environment3:21
Installing all required software at the start of the course can be quite boring. Instead, in this course we'll dive right into Python by using a great cloud environment where you can type and run your Python code.
Writing our first code! Variables and printing4:05
Let's start the course by talking about one of the fundamental types of data in Python: numbers. We can have whole numbers (known as integers) and also numbers with decimal places (known as floats).
In this lecture we also talk about how to communicate with the user by printing things out.
Variables and printing
Community & Support6:00
Numbers in Python3:10
Calculating the remainder of a division4:09
Numbers and Printing in Python
Information before your first coding exercise0:43
Exercise: variables and numbers
Solution: variables and numbers0:38
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
Python strings6:57
In this lecture we talk about strings in Python. Strings are just collections of characters, numbers, and symbols. We also talk about how to use existing variable in strings to make them more dynamic.
Python string formatting7:08
Python string formatting
Getting user input in Python8:07
In this lecture we talk about how to get the user to give us data. Programming is all about taking data and transforming it. We now know how to tell the user things, we must get the user give us things!
Python strings, formatting, and user input
Exercise: communicating with users (Python 3.10)
Solution: communicating with users0:26
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
Booleans and comparisons in Python4:26
In this lecture we look at True and False values in Python. These are very important, because they allow our programs to make decisions.
and & or in Python9:20
Booleans and comparisons in Python
Lists in Python8:05
In this lecture look at how we can store multiple values in the same variable, by using built-in structures like the list, tuple, or set. These are all different and can be used in different scenarios.
Tuples in Python5:29
Sets in Python2:45
Advanced set operations4:51
Sets in particular can be extremely powerful. In Python, we can use sets to calculate elements that match in two collections and also to perform other, related operations.
Lists, tuples, and sets in Python
Exercise: nearby friends (Python 3.10)
Solution: nearby friends0:20
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
Python dictionaries7:46
The Python dictionary is one of the most useful structures in the language. It allows us to map values to keys—for example, "name" to "Rolf". With dictionaries, we can make our programs start talking about things as opposed to just pieces of data!
Python dictionaries
Length and sum2:47
In this lecture we look at how to calculate the length and the total sum of elements in a list, tuple, or dictionary in Python.
Exercise: dictionaries (Python 3.10)
Solution: dictionaries0:46
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
Joining a list2:04
Conclusion and Python Fundamentals Cheatsheet0:29

If statements in Python12:21
In this lecture we talk about if statements. If statements are Python constructs which, given a True or False value, can change the flow of our programs.
If statements in Python
While loops in Python6:14
In this lecture we look at while loops. The while loop is a type of construct which allows our programs to repeat a certain block of code for as long as a conditional is True.
Exercise: a simple text menu (Python 3.10)
Solution: a simple text menu0:35
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
For loops in Python7:27
In this lecture we talk about the for loop, as well as the range() function and a brief aside on tuple destructuring. The for loop is great for doing something with each item of a collection, such as a list.
Destructuring syntax3:19
Iterating over dictionaries2:29
Break and continue4:11
In this lecture we talk about two parts of the Python syntax which we can use inside loops: break and continue. These can be used to exit out of a loop early in two different ways.
A couple more loop examples0:27
Loops in Python
Exercise: FizzBuzz (Python 3.10)
Solution: FizzBuzz0:36
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
The else keyword with loops3:48
Finding prime numbers with for loops5:35
List slicing in Python4:02
In this lecture we talk about list slicing. You can create list slices from existing lists, just by providing a range of indices that you want your new list to contain.
List comprehension in Python9:02
In this lecture we talk about list comprehension. List comprehension creates a new list from an existing list, but we have the opportunity of choosing what elements to include. In addition, we can perform transformations on new elements.
Comprehensions with conditionals6:16
Set and dictionary comprehensions5:07
In this lecture we look briefly at using comprehensions in other data structures, like sets and dictionaries.
The zip function2:42
The enumerate function4:43
List comprehensions and slicing in Python
Exercise: an improved lottery! (Python 3.10)
Solution: an improved lottery!0:55
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
Functions in Python4:10
In this lecture we take a look at functions in Python.
Arguments and parameters10:15
Functions and return values in Python9:25
In this lecture we investigate how to make our functions give back values so that the caller of the function can use them. This is a key pillar of programming!
Default parameter values7:26
Functions in Python
Lambda functions in Python6:08
In this lecture we look at lambda functions in Python. These are used to get inputs, and succinctly process them before returning them.
First-class functions in Python10:19
Conclusion and Cheatsheets for this section0:17
Advanced functions in Python

Code for this section0:12
Installing Python in your computer2:18
In this brief lecture we look at installing Python in your computer. It's very simple, just download the installer and go through it. Windows users need to make sure to select specific settings, however.
Installing PyCharm in your computer2:56
In this lecture we look at installing PyCharm. Again a simple process! PyCharm allows us to write and run Python code easily.
Creating our first PyCharm project5:45
In this video we create our first PyCharm project!
Setting up PyCharm font and display settings2:44
A short aside from the main content of the course; just a quick video on changing PyCharm's settings to suit you.
Milestone Project Brief7:27
Milestone Project Implementation Video11:33

Intro to Object-Oriented Programming with Python17:02
This lecture introduces object-oriented programming! Objects allow our programs to start talking about real-world things in a better context.
Exercise: your first Python class (Python 3.10)
Solution: your first Python class0:18
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
More about classes and objects9:17
Learn more about classes and objects in this lecture. What is self? What is it used for?
Exercise: defining a method (Python 3.10)
Solution: defining a method0:21
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
So... sum(), int(), str(), len(), what else is there?0:36
A quick article lecture on what built-in functions are, a few more examples, and where you can read more about them.
Object-Oriented Programming
Parameter naming in Python3:54
This brief interlude talks about how to name your parameters in Python programs.
Magic methods in Python12:57
In this lecture we talk about some magic methods in Python, like what __init__ and __repr__ are for.
Exercise: magic methods in Python (Python 3.10)
Solution: magic methods in Python1:00
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
Inheritance in Python8:45
In this lecture we talk about inheritance, and in which situations it can be handy. When we do inheritance, a class takes absolutely everything from another one—but then we can change anything we want in the new class!
The @property decorator4:19
A slightly more advanced concept, in this video we briefly look at accessing a method as property using the @property decorator. Decorators though, will be covered in length later on!
Advanced Object-Oriented Programming
@classmethod and @staticmethod in Python7:27
In this lecture we talk about the purpose of the @classmethod and @staticmethod decorators.
More @classmethod and @staticmethod examples12:06
Because @classmethod and @staticmethod can be a bit confusing, here's a few more examples of them in use!
@classmethod and @staticmethod

Code samples for this section0:13
Intro to errors in Python13:13
In this lecture we look at errors in Python. These can be confusing and annoying, but when you know how to use them they become very powerful!
Built in errors in Python17:58
In this lecture we look at some of the built-in errors in Python and what they can be used for.
Errors in Python
Raising errors in Python10:58
In this lecture we look at how to raise errors in Python; crashing our application. Sounds pointless, but it can actually be really good to crash an application when critical errors happen!
Exercise: raising an error (Python 3.10)
Solution: raising an error0:27
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
Creating our own errors in Python13:42
In this lecture we look at how to create our own errors in Python. This allows us to give them more descriptive names and properties, that we can use when debugging.
Exercise: raising our own custom errors (Python 3.10)
Solution: raising our own custom errors0:33
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
Dealing with Python errors9:00
In this lecture we look at try-catch, a construct in Python for dealing with errors. Instead of crashing an application, we can do something to handle the error and then continue execution.
Error handling in Python
The on success block and re-raising exceptions11:21
In this lecture we look at the "on success" block on the try-catch construct. It is a lesser-known keyword, which allows us to use an "else" with a try-catch!
Some error problems
Handling those pesky user errors!11:18
In the last quiz we saw multiple incorrect ways of handling user input—let's look at why, and also at the best way of tackling the problem!
Exercise: try-except-finally (Python 3.10)
Solution: try-except-finally0:32
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
Debugging with Pycharm16:37
This longer lecture looks at using the PyCharm debugger in order to step through our programs and find problems. Debugging is an essential skill for any developer!
Advanced error handling in Python
Further reading0:28

Code for this section0:12
Files in Python10:55
In this lecture we introduce working with files in Python. Files are a great way to save data from our programs, but also we can make our programs read from them!
Python Exercise: copying files20:38
Let's do a short exercise in this lecture: copying a file. The great thing about doing this with Python is that we can then modify the output file—so we could selectively copy or change some of the values.
Exercise: building a quiz system
Solution: building a quiz system0:35
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
CSV files with Python9:35
CSV files are extremely popular to save data that looks like a table. In this lecture we look at how to interact easily with CSV files in Python!
How to use the csv module to read and write CSV files more easily0:30
JSON files with Python17:33
In this lecture we look at JSON files. JSON is a very popular format for files and for data sent over the internet. An added benefit is that JSON looks a lot like Python dictionaries!
Exercise: a CSV to JSON converter (Python 3.10)
Solution: a CSV to JSON converter0:22
This short article provides a solution to the coding exercise, just so you can double-check your code against it!
Using the with syntax in Python5:01
In this lecture we look at the `with` syntax in Python. This is called a context manager, and allows us to perform an operation at the start and another at the end of a block of code.
Importing our own files10:28
In this lecture we look at how to import our own files. Doing this means that we can split our program into various files, to make it simpler!
Python relative imports: children15:18
A rather complex and less known topic! Relative imports in Python can be tricky to get right, but in this lecture we teach you exactly how to use relative imports in Python to import child modules.
Exercise: importing modules (Python 3.10)
Solution: importing modules0:36
Python relative imports: parents5:44
In this video we cover doing relative imports to import a parent module. This can be even trickier than importing child modules!
Import errors and running as a Python script5:26
In this lecture we look at import errors, which can happen when we have circular dependencies. We also look at how to run a file as a script, and what that means.
Further reading0:29

Code for this section0:12
Intro to Milestone Project 25:53
In this lecture we introduce the next milestone project!
Milestone Project 2 Brief0:25
This lecture contains the second milestone project brief—a document with some hints on how you can tackle your second assignment!
Milestone Project with lists17:52
Storing books in files19:30
Using JSON instead of CSV9:58
Intro to databases with Python7:03
Using SQLite in Python2:37
Some database jargon4:08
Creating our books table using Python5:49
Inserting books using Python6:19
SELECT examples3:12
Getting all our books6:30
UPDATE and DELETE2:14
Filtering with WHERE4:59
Finishing the Milestone Project7:46
Ordering and limiting2:37
Developing our context manager in Python10:11
Errors in context managers6:55
Further reading0:30

Generators in Python12:39
Exercise: a prime number generator (Python 3.10)
Solution: a prime number generator0:25
Python generator classes and iterators8:15
Exercise: coding a generator class (Python 3.10)
Solution: coding a generator class0:32
Iterables in Python7:48
The filter() function in Python8:43
The map() function in Python5:39
any() and all() in Python4:59
Section 9 Review
So what other things evaluate to True or False?0:36
Further reading0:23

Mutability in Python11:49
Argument mutability in Python12:16
Default values for parameters5:03
Mutable default arguments (bad idea)6:38
Argument unpacking in Python11:16
Queues in Python3:20
Some interesting Python collections25:55
Exercise: Python collections (Python 3.10)
Solution: Python collections0:28
Timezones8:46
Dates and time in Python12:46
Timing your code with Python12:32
Regular expressions8:28
Regex examples13:36
Regex in Python13:07
Exercise: secure file names using regex (Python 3.10)
Solution: secure file names using regex0:23
Introduction to logging in Python10:35
Logging to a file and other features4:16
Higher-order functions in Python9:37
The built-in itertools module0:23
Further reading0:12
This lecture contains a link to an interesting conference talk, related to memory management and garbage collection—similar to the first couple lectures in this section.

Requirements

Access to a computer with an internet connection. Everything else we use in the course is publicly available and we'll guide you through getting it.
There are no other requirements, besides getting started!

Description

Welcome to the Complete Python Course!

Learn Python from a software developer. If you want to master Python and write efficient, elegant, and simple code, this is the course you've been looking for!

Even if you have no programming experience, this course will give you a super-strong foundation and teach you how to use Python to achieve any goal.

We've crafted every piece of content to be concise and straightforward, while never leaving you confused:

Hundreds of code-along videos with in-depth explanations
Dozens of presentations with animated diagrams
Quizzes
Coding exercises
Python projects for you to learn to make real Python applications

Why Choose THIS Course?

Get a broader and deeper experience in Python than with any other Udemy course on the market.
Start at zero and become an expert whilst learning all about the inner workings of Python.
Learn how to write professional Python code like a professional Python developer.
Embrace simplicity and develop good programming habits.
Explore advanced Python, such as decorators, asynchronous development, and managing project dependencies
Improve your Python code with formatters and linters
Store data in a database so it's accessible and searchable.
Learn about web development using Flask, to create websites that you can share with users.
Extract information from existing websites using web scraping.
Control your browser using Selenium, to automate using almost any website!
Learn to interact with REST APIs to fetch data from other web applications.
Create desktop GUIs using Tkinter, and turn them into executable applications you can share with non-technical users.
Start working with unit testing in Python by learning about the unittest library

Who Is This Course For?

Beginners who have never programmed before.
Programmers with experience in other languages who want to kickstart their Python programming.
Programmers who know some Python but want to round off their skills and become truly proficient.

What Am I Going to Get From This Course?

Lifetime access to over 300 code-along lectures covering all aspects of Python, from the foundations to advanced concepts.
Complete written notes and code for you to read and refer to as you progress through the course.
Milestone projects for you to complete throughout the course. These provide a challenge and an opportunity for you to apply what you've learned. We always go over the code after to show you how we would tackle them.
Quizzes and coding exercises for you to check your understanding.
High-quality help and support. Every year we personally help thousands of students. We don’t leave a single question unanswered.

Here's a breakdown of some of the topics this course covers!

Command Line Basics
Installing Python
Running Python Code
Strings and Numbers
String Formatting
Lists, Dictionaries, Tuples, and Sets
Functions and lambdas
Decorators
Scope
args/kwargs and default parameter values
The concept of mutability
Built-in Functions
Debugging and Error Handling
Type hinting (new in Python 3.8)
Creating your own error classes
Modules and installing libraries
Object Oriented Programming, in a lot of depth
Composition and Inheritance
File I/O
Database interactions
Unit testing
Regex (Regular Expressions)
Web Scraping
Algorithms and Data Structures
And much, much more!

Feel free to read through the course curriculum, as well as watch the free lectures of this course. I'm sure you'll enjoy them.

But don't take my word for it! Read through some of these reviews and see what other students are saying:

> "Excellent teaching ability combined with deep understanding of the subject has produced one of the best online courses I've taken in decades. Fabulous work! Thank you!" - Maria Iano

> "Really amazing course. would recommend to all the students or programmers who want to learn python from scratch." - Hriday Panchal

> "Exactly the course I needed!!! Explanations are clear, lots of examples, and everything you need in python! thanks so much." - Julien Palleau

> "Another amazing offering from Jose. This course offers the most comprehensive look at Python available. Consider, for example, the extensive treatment regarding asynchronous development, or the detailed introduction to web development with Flask, or the Tkinter GUI introduction. I have had several other offerings by Jose here on Udemy. Always get far more than I expected." - Martin Dwyer

> "Honestly, I don’t know much about other courses, but after taking a quick peek at some of them, I can safely say that this is the most complete Python course in Udemy. [...] Definitely recommended for those who want to begin their Python journey but don’t know where to start." - Mateo Delgadillo Karam

This course is eligible for the Codestars Certificate Authority (CCA) certificate. Students can take the official exam via codestarscom, and those who pass the quiz will receive their CCA certificate. (more details in the course!)

Also remember: we have a 30-day money-back guarantee, so sign up and try the course totally risk-free!

I'll see you on the inside.

Who this course is for:

Beginner programmers who want to get into one of the most popular and loved languages in the world
Programmers from other languages who want to kickstart their Python journey
Python programmers who want to refresh their skills and tackle advanced topics like algorithms and asynchronous programming

The Complete Python Course | Learn Python by Doing in 2026

What you'll learn

Explore related topics

Coding Exercises

Course content

Intro to Python25 lectures • 1hr 39min

Python fundamentals25 lectures • 2hr 8min

Milestone Project 17 lectures • 33min

Object-Oriented Programming with Python12 lectures • 1hr 18min

Errors in Python13 lectures • 1hr 46min

Files in Python15 lectures • 1hr 43min

Databases in Python & Milestone Project 220 lectures • 2hr 5min

Type hinting in Python2 lectures • 14min

Advanced built-in functions in Python10 lectures • 50min

Advanced Python Development20 lectures • 2hr 51min

Requirements

Description

Who this course is for: