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Python for Everybody

via Skillshare

This course may be unavailable.


Welcome to Python for Everybody, the complete Python course for beginners, intermediate and advanced developers. 

Python is the #3 most popular programming language on Earth. There's no software that Python isn't involved in. Whether you want to get into Data Science, Machine Learning, Artificial Intelligence, Web Development, Video Games or anything else, Python is the language you'll want to learn. This course is designed to set you up for success in every Python-related industry.

If you are new to programming, Python is the perfect language to learn first. It's easy to read and write and the learning curve is very low making it the ideal first-language to learn. 

If you're coming in from another language such as C or Java, you'll pick up on Python even easier! Python takes care of all the little things behind the scenes so you can focus on writing clean code that performs well. 

In this course we'll learn about variables, data structures, conditionals, loops, functions, Object Oriented Programming (OOP), classes, interfaces, the Python 3rd party package ecosystem, virtual environments, decorators, generators, try and except, and unit testing your code. Plus everything between the major learning points. 

This course comes with interactive coding notebooks so you can test out every piece of code I write in this course, you can edit it and experiment safely, and take notes beside your interactive code. It's the perfect way to learn! 

Who is this course for?

This course is designed for everybody, even if you've never written a line of code in your life. But specifically, if you want to get into web development, machine learning or data science, this course is for you! 


You'll need the internet to stream all the videos, and a computer (laptop or desktop) to write the code (you need a real keyboard, a phone isn't a great coding experience). 

You'll also need Jupyter Notebooks, or a text editor like VS Code. VS Code is a free download. 

Lastly, you'll need to download and install Python. Python is also free. And you'll learn how to download and install Python on your computer in this course.

Your project:

At the end of the course is a VERY LARGE project. It's roughly 8 videos long and I'll guide you through making an image recognition application using Machine Learning and Python. 


  • Course Introduction
  • Python 2 vs Python 3
  • Where is python used these days?
  • (Windows Only) Installing Python
  • Installing Python
  • (Windows Only) Command Line Crash Course
  • Command Line Crash Course
  • Running Python Code
  • (Windows Only) Jupyter Notebooks
  • Jupyter Notebooks
  • Where to Download the Code
  • Asking Great Questions
  • Taking Notes Beside Code
  • Basic Arithmetic
  • Variables
  • Formatting in Python
  • Python Data Types
  • Mutable Vs Immutable
  • Numbers
  • Strings (Sequences)
  • Lists (Sequences)
  • Indexing And Slicing
  • String Properties And Methods
  • User Input
  • Print Formatting
  • Lists
  • Dictionaries
  • Tuples
  • Sets
  • Booleans
  • None
  • Files
  • Your First Python Program
  • Comparison Operators
  • Comparison Shortcuts
  • Multiple Comparison Operators
  • Chaining Operators Together
  • Introduction to Loops
  • For Loops
  • Looping Through Dictionaries
  • While Loops
  • Break And Continue
  • Type Casting
  • Helpful Operators
  • List Comprehensions
  • Dictionary Comprehensions
  • Functions
  • Args And Kwargs
  • Comments
  • Map
  • Filter
  • Lambda Expressions
  • Scope
  • Welcome to OOP
  • Creating Your First Class
  • Class Attributes
  • Class Methods
  • Real Life OOP Example
  • Class Inheritance
  • Class Interfaces
  • Super Function
  • Dunder Methods
  • Introduction to Packages
  • Installing 3rd Party Packages
  • Finding 3rd Party Packages
  • Seeing Installed Packages
  • Introduction to Modules
  • Creating a Package
  • Name and Main
  • Errors and Exceptions
  • Catching Exceptions
  • Unit Tests
  • Nested Functions
  • Decorators
  • Generators
  • Linting
  • Virtual Environments
  • Requirement Files
  • Interactive Python
  • Python Versions
  • Local Server
  • Project: Demonstration
  • Project: Python Environment
  • Project: Required Packages
  • Project: Custom Machine Learning Model
  • Project: The Code
  • Project: First Detection
  • Project: Second Detection
  • Project: Confidence Matters
  • Project: How to Learn More
  • Summary

Taught by

Kalob Taulien


5.0 rating, based on 2 Class Central reviews

Start your review of Python for Everybody

  • Nathan Fayiah Cooper
    I am very grateful for the opportunity to be part of such fantastic courses. Also glad that I had a great experience in learning the foundation of Python. Thank you everyone to providing such a wonderful learning platform for us.
    Nathan F. Cooper
  • Anonymous
    Excelente Curso para empezar a programar. Muy explicativo la metodología. El profesor excelente y la temática engloba todos los temas mas importantes.

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