Udemy – The Ultimate Python 3 Course from A to Z + 50 hours

File Name:	The Ultimate Python 3 Course from A to Z + 50 hours
Content Source:	https://www.udemy.com/course/the-ultimate-python-3-course-from-a-to-z-50-hours-frogames
Genre / Category:	Programming
File Size :	15.3 GB
Publisher:	Juan Gabriel Gomila Salas
Updated and Published:	August 22, 2025

Product Details

Welcome to our Complete Python 3 Course — From A to Z, the most engaging and practical way to learn one of the most in-demand programming languages in the world. Whether you’re starting from scratch or looking to master advanced topics, this course is designed to take you step by step into the world of Python programming — no prior experience required!

Why Learn Python?

Python has become an essential tool for Data Scientists, Machine Learning engineers, AI specialists, and Web Developers alike. With the increasing demand for data-driven professionals, learning Python can open doors to high-paying jobs — many Data Scientists earn over $100,000 per year as employees or freelancers. If you want to become one of them, Python is your best starting point.

What Makes This Course Unique?

Get Instant Notification of New Jobs on our Telegram channel.

We’ve crafted this course to be the most complete Python learning experience on Udemy, while keeping it simple and fun. From beginners who have never written a line of code, to those who want to deepen their understanding of Python — this course is for you!

With over 300 video lessons, 50+ coding challenges, and 50+ hours of content, you’ll gain solid programming skills that you can apply to real-world scenarios.

What you’ll learn includes:

Python 3 from absolute basics to advanced functions
File handling (TXT, CSV, JSON) and working with data
Data structures: lists, dictionaries, sets, tuples
Functions, visibility scopes, arguments, and return values
Object-Oriented Programming (OOP), inheritance, and polymorphism
Exception handling and debugging techniques
Modules: built-in, custom-made, and external libraries
Introduction to Data Science tools like pandas, numpy, math, matplotlib, seaborn, and os