Learn Python: 5 great Python courses for beginners and beyond

Learn Python: 5 great Python courses for beginners and beyond

Automate The Boring Stuff With Python Programming Available in print and free to read online, the book teaches Python from the ground up, using real-world projects as teaching tools along the way. The book's author, Al Sweigart, has also created a 9 1/2 hour video course version of the text.

Python has a well-earned reputation for being easy to learn and easy to work with. But that doesn’t mean would-be Python programmers don’t need help getting started, or that experienced Python programmers couldn’t use some help extending their skills. And one of the best ways to gain new Python skills—basic or advanced—is a course that walks you through the concepts and techniques in depth.

Following are five courses for learning Python, ranging from simple introductions to the language to more advanced topics. They also cover a number of common Python use cases, from machine learning to web back ends. Three of the courses are free; the others cost $39 and $49.99. 

Tune into Serdar Yegulalp’s Smart Python video tutorials to learn smart Python tricks in 5 minutes or less ]

TABLE OF CONTENTS

Introduction to Computer Science and Programming Using Python

This EdX course, provided by the Massachusetts Institute of Technology, is aimed at people who have no prior experience with programming. It uses Python programming as a way to introduce students to key concepts in computer science and computational problem solving. The course is intense—14 to 16 hours a week over nine weeks—but costs nothing to take. However, on completion, you can obtain a certificate for $75, which can be redeemed for academic credit at Charter Oak State College in Connecticut.

A companion course is also available, Introduction to Computational Thinking and Data Science, which covers using Python to analyze and solve common math and statistics problems, such as Monte Carlo simulations or graph optimization problems. The length, intensity, and cost of that course is the same as the first one.

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Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Python Tricks Every Developer Should Know

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

How to Remove all Duplicate Files on your Drive via Python

Today you're going to learn how to use Python programming in a way that can ultimately save a lot of space on your drive by removing all the duplicates. We gonna use Python OS remove( ) method to remove the duplicates on our drive. Well, that's simple you just call remove ( ) with a parameter of the name of the file you wanna remove done.

Basic Data Types in Python | Python Web Development For Beginners

In the programming world, Data types play an important role. Each Variable is stored in different data types and responsible for various functions. Python had two different objects, and They are mutable and immutable objects.

How To Compare Tesla and Ford Company By Using Magic Methods in Python

Magic Methods are the special methods which gives us the ability to access built in syntactical features such as ‘<’, ‘>’, ‘==’, ‘+’ etc.. You must have worked with such methods without knowing them to be as magic methods. Magic methods can be identified with their names which start with __ and ends with __ like __init__, __call__, __str__ etc. These methods are also called Dunder Methods, because of their name starting and ending with Double Underscore (Dunder).

The Basics of Python OS Module

The OS module is a python module that provides the interface for interacting with the underlying operating system that Python is running.