Introduction to Python (crash course)
- Development
- Apr 24, 2025

Introduction to Python (crash course), available at $49.99, has an average rating of 4.5, with 28 lectures, based on 2 reviews, and has 8 subscribers.
You will learn about Programming from the ground up The Python programming language The installation and use of libraries Object-oriented programming: classes and functions This course is ideal for individuals who are Anyone who would like to learn programming It is particularly useful for Anyone who would like to learn programming.
Enroll now: Introduction to Python (crash course)
Summary
Title: Introduction to Python (crash course)
Price: $49.99
Average Rating: 4.5
Number of Lectures: 28
Number of Published Lectures: 28
Number of Curriculum Items: 28
Number of Published Curriculum Objects: 28
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will Learn
Who Should Attend
Target Audiences
In this crash course, we will cover the fundamentals of the Python programming language. This course aims to be straight to the point while being rigorous and easy to understand. At the end of the course, a series of ten exercises are proposed and solved.
I believe that a programming language is learned by doing, and this course aims to give you the necessary basics to get started so that you can improve your skills at your own pace through practice.
At the end of this course, the participant will be able to use programming (and more specifically the Python programming language) to solve real problems. This course is also intended to be a springboard to more advanced and specific courses such as artificial intelligence, machine learning, web development or video game development.
Beyond Python, this course is also a general introduction to programming.
Concepts covered:
Variables and primitive types.
Fundamental data structures (lists, sets, tuples, and dictionaries).
Control flows (if, else).
Loops (for, while).
The concept of functions.
The concept of classes.
The installation and use of packages.
The visualisation of objects and data with matplotlib.
The modulo operator.
Don’t wait any longer before launching yourself into the world of programming!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Installation
Lecture 3: What is a programming language?
Lecture 4: Python IDEs and Code Editors
Chapter 2: Basic data types
Lecture 1: Integers
Lecture 2: Floating-point numbers
Lecture 3: Strings
Lecture 4: Booleans
Chapter 3: Control statements
Lecture 1: If – else
Lecture 2: Loops
Chapter 4: Inbuilt Data Structures
Lecture 1: Lists
Lecture 2: Tuples
Lecture 3: Dictionnaries
Lecture 4: Sets
Chapter 5: Object oriented programming
Lecture 1: Functions
Lecture 2: Classes
Chapter 6: Modules
Lecture 1: Pip & matplotlib
Chapter 7: Exercices
Lecture 1: Ex1
Lecture 2: Ex2
Lecture 3: Ex3
Lecture 4: Ex4
Lecture 5: Ex5
Lecture 6: Ex6
Lecture 7: Ex7
Lecture 8: Ex8
Lecture 9: Ex9
Lecture 10: Ex10
Chapter 8: Conclusion
Lecture 1: Conclusion
Instructors

Maxime Vandegar
Ingénieur de recherche
Rating Distribution
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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