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The Ultimate Beginners Guide to Python Programming

Name: The Ultimate Beginners Guide to Python Programming
Availability: InStock
Rating: 4.4 (106 reviews)

4.4(106)7k students

Korshub's take

A no-fluff starting point for Python

This free course strips Python down to its essentials for anyone who wants to get moving without committing to a lengthy program. Created by Guido van Rossum in 1991 with simplicity as the goal, Python now powers everything from web development to artificial intelligence and data science, and this course focuses purely on the fundamentals that make those paths possible.

What you'll cover

Installing Python and choosing among five popular IDEs
Variables, constants, and math operations
Logical, relational, and conditional operators
For and while loops, functions, and core collections like lists, dictionaries, tuples, and sets

Who it's for

Best suited to complete beginners who want the core syntax without extras. Every topic ends with practical exercises and worked solutions, and all coding happens in Google Colab, so there's nothing to install or configure locally before you start.

About this course

Python is one of the most used programming languages in the world and many companies are looking for developers who know it! It was created in 1991 by Guido van Rossum with the main objective of being simple and easy to learn, compared to other programming languages where the learning curve is much higher. Python language has gained a lot of popularity in recent years because it is suitable for many applications, such as: web development, artificial intelligence, data science, big data, computer graphics, among many others.

This free course was designed for those who are starting their studies in the Python programming language and do not have much time to take a bigger and more complete course. You will learn only the bases of this programming language. Take a look at the content that will be covered:

Python installation
Five main IDEs (Integrated Development Environment) to work with Python
Variables and constants
Math operations
Logical, relational and conditional operators
Loops, such as the "for" and "while" commands
Functions
Main collections, such as lists, dictionaries, tuples and sets

Practical exercises are provided at the end of each topic, so you can practice what you learned during the lectures. The solution for every task is available for you to compare with your own implementations! We will use Google Colab on-line for the development of the examples, ensuring that you will not have problems with software installations or configurations on your local machine.