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Updated Course 2025

Learn Python
From Zero to Expert

The complete course that teaches you the world’s most popular programming language. 18 modules, 100+ practical exercises, and real projects for your portfolio.

18
Modules
20h+
Content
100+
Exercises
4.9⭐
Rating
main.py
1# Define a simple class
2class Student:
3    def __init__(self, name, age):
4        self.name = name
5        self.age = age
6
7    def greet(self):
8        return f"Hi, I'm {self.name}!"
9
10student = Student("Denis", 20)
11print(student.greet())
✓ OOP & Classes
✓ Data Science
✓ Automation
WHY THIS COURSE?

What You Get

Everything you need to master Python

📚

Complete Course

250+ pages with clear explanations, examples, and illustrations

💻

100+ Exercises

Hands-on exercises with detailed solutions

🎯

10 Projects

Real projects for your portfolio

♾️

Lifetime Access

Once you buy it, it’s yours forever

CURRICULUM

What You Will Learn

18 modules structured from simple to advanced

1
Introduction to Python
5 lessons • 55 min
+
What is Python and why learn it? FREE 12 min
Installing Python and setting up an IDE FREE 15 min
Your first program: Hello World 8 min
Basic exercises 15 min
?
Quiz: Python Basics 5 min
2
Variables and Data Types
6 lessons • 70 min
+
Variables and assignment 12 min
Numeric types (int, float, complex) 15 min
Strings and text operations 15 min
Boolean and None 10 min
Variable exercises 14 min
?
Quiz: Data types 4 min
3
Operators and Expressions
5 lessons • 55 min
+
Arithmetic operators 12 min
Comparison operators 10 min
Logical operators (and, or, not) 12 min
Operator exercises 16 min
?
Quiz: Operators 5 min
4
Control Structures
6 lessons • 75 min
+
if, elif, else 15 min
Nested conditions 12 min
Ternary operator 8 min
Match-Case (Python 3.10+) 15 min
Condition exercises 20 min
?
Quiz: Control structures 5 min
5
Loops
7 lessons • 80 min
+
for loop and range() 15 min
while loop 12 min
break, continue, pass 10 min
Nested loops 12 min
enumerate() and zip() 10 min
Loop exercises 16 min
🎯
Project: Guess the number 5 min
6
Functions
8 lessons • 95 min
+
Defining functions (def) 12 min
Parameters and arguments 15 min
*args and **kwargs 12 min
Return and multiple values 10 min
Lambda functions 12 min
Scope and global variables 12 min
Function exercises 18 min
?
Quiz: Functions 4 min
7
Lists and Tuples
7 lessons • 85 min
+
Creating and accessing lists 12 min
List methods (append, remove, sort) 15 min
List Comprehensions 15 min
Advanced slicing 12 min
Tuples and differences vs lists 10 min
List exercises 16 min
🎯
Project: Terminal Todo List 5 min
8
Dictionaries and Sets
6 lessons • 70 min
+
Dictionaries: creation and access 12 min
Dictionary methods 15 min
Dictionary Comprehensions 12 min
Sets and set operations 12 min
Dictionary exercises 15 min
?
Quiz: Data structures 4 min
9
Working with Files
6 lessons • 65 min
+
Opening and reading files 12 min
Writing to files 10 min
Context Manager (with statement) 10 min
Working with JSON and CSV 15 min
File exercises 14 min
🎯
Project: Contact Manager 4 min
10
Object-Oriented Programming (OOP)
9 lessons • 110 min
+
Introduction to OOP 12 min
Classes and Objects 15 min
__init__ and self 12 min
Attributes and Methods 12 min
Inheritance 15 min
Polymorphism and Encapsulation 12 min
Special methods (__str__, __repr__) 10 min
OOP exercises 18 min
🎯
Project: Banking System 4 min
11
Error Handling
5 lessons • 55 min
+
try, except, finally 15 min
Exception types 12 min
raise and custom exceptions 12 min
Error-handling exercises 12 min
?
Quiz: Exceptions 4 min
12
Modules and Packages
5 lessons • 50 min
+
import and from...import 12 min
Creating your own modules 10 min
pip and installing packages 12 min
Virtual Environments 12 min
?
Quiz: Modules 4 min

+ 6 additional modules including:

Decorators and Generators • Regular Expressions • Working with APIs (requests) • Databases (SQLite) • Introduction to Data Science (pandas, numpy) • Full Final Project (Flask Web Application)

TRY FOR FREE

Demo Lesson

Test our interactive platform before you buy

🐍 Interactive Python Editor
Free Lesson

Introduction to List Comprehensions

List comprehensions are an elegant and concise way to create lists in Python. They let you turn complex for-loops into a single line of code.

💡 Pro Tip

List comprehensions are not only shorter, but often faster than traditional for-loops because they are optimized internally by Python.

Basic syntax:

  • [expression for item in iterable] - basic syntax
  • [expression for item in iterable if condition] - with filtering
  • [expression if condition else other_expression for item in iterable] - with if-else
Python
# Traditional method with a for loop
numbers = []
for i in range(1, 6):
    numbers.append(i ** 2)
print(numbers)  # [1, 4, 9, 16, 25]

# With list comprehension - one line!
squares = [i ** 2 for i in range(1, 6)]
print(squares)  # [1, 4, 9, 16, 25]

# With a condition - only even numbers
evens = [x for x in range(10) if x % 2 == 0]
print(evens)  # [0, 2, 4, 6, 8]

# With if-else
result = ["even" if x % 2 == 0 else "odd" for x in range(5)]
print(result)  # ['even', 'odd', 'even', 'odd', 'even']
⚠️ Warning

Don’t use list comprehensions for complex operations with many conditions—the code becomes hard to read. In those cases, a traditional for-loop is preferable.

Want to try it?

Go to the "Editor" tab and experiment with List Comprehensions!

🐍 main.py
Python Code
Console Output
Ready
# Press "Run" to execute the code
🎯

Quick Exercise

Test your Python knowledge

Your task:

  • Create a list with the cubes of numbers from 1 to 10 using list comprehension
  • Filter only numbers divisible by 3 from range(1, 21)
  • Create a list that contains the length of each word in a sentence
  • Press Run to see the output in the console
REVIEWS

What Students Say

Over 800 happy students

"Python seemed impossible to learn until I found this course. The explanations about OOP and list comprehensions are brilliant!"

A
Andrei Popescu
Data Analyst

"I went from zero knowledge to automating my tasks at work. The practical projects helped me a lot!"

I
Ioana Marinescu
Project Manager

"The Data Science and pandas section is exactly what I needed. Now I work with data every day using Python!"

V
Victor Dumitrescu
Business Analyst
LIMITED OFFER

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Complete Python Course

Full access to all lessons, exercises, and projects + Graduation certificate.

75 150 €
Complete Course (250+ pages)
100+ Practical Exercises
10 Portfolio Projects
Python Cheatsheet
Lifetime Access to Updates
Priority Email Support
🏆 Graduation Diploma
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🛡️ 30-Day Money-Back Guarantee

💡 All displayed prices do not include VAT or other applicable local taxes. Taxes will be calculated at checkout based on your location.

Frequently Asked Questions

No! This course is designed for absolute beginners. We start with the basics and gradually move forward. All you need is a computer and the desire to learn.
The course uses Python 3.10+, the latest stable version. We show you how to install Python and set up the development environment step by step.
Absolutely! We have dedicated modules for pandas and numpy, the most important libraries for Data Science. You'll learn how to process, analyze, and visualize data.
Yes! In the final project you will build a complete web application using Flask. You'll understand backend development concepts and how to create APIs.
Sure. If you're not satisfied with the course in the first 30 days, we will refund you in full—no questions asked.
The course is available in English to make it accessible to students worldwide. We recommend an intermediate level of English to fully understand the content. The course includes detailed hands-on examples, interactive quizzes, and assignments to help you practice what you learn.
This is not just a simple collection of PDFs! You get a fully interactive course that includes: lessons with clear explanations and practical examples, quizzes to test your knowledge, homework assignments with detailed solutions, and real projects you can add to your portfolio.

Start Your Python Journey

Don't wait. Learn the most popular programming language and open up new career opportunities.

🛒 Buy the Course - 75 €

💡 All displayed prices do not include VAT or other applicable local taxes. Taxes will be calculated at checkout based on your location.