Python is the most popular programming language out there:

And it is used for so many different industries, like:

Web Development
Data Science
Machine Learning
and Automation - to automate repetitive tasks in general

So learning Python is definitely a good idea! ⭐️

In this complete Python course you will learn everything you need to get started with Python. 🚀 🤩

By the end of this course, you will have a good understanding of the concepts and hands-on experience with several demo projects you can follow along.

Check out the course overview below or jump into the tutorial right away 🤓👇🏻

📚 COURSE OVERVIEW 📚

Introduction to Python
Installation and Setup Local Development Environment
Write our first Python program
Python IDE vs simple File Editor
Strings and Number Data Types
Variables
Encapsulate Logic with Functions
Accepting User Input
Conditionals (if / else) and Boolean Data Type
Error Handling with Try / Except
While Loops
Lists and For Loops
Comments in Python
Sets
Built-In Functions
Dictionary Data Type
Modularize your project with Modules
Project: Countdown App
Packages, PyPI and pip
Project: Automation with Python (Working with Spreadsheets)
Object Oriented Programming: Classes and Objects
Project: API Request to GitLab

⭐️ Introduction to Python ⭐️

First, I will give you a short introduction to Python in general, why it's so popular and what it's used for. 🤔

⭐️ Basic Building Blocks of Programming⭐️

After having installed Python and set up the local environment, we will start with the basic building blocks of programming, like different data types, variables, functions, conditionals, looping etc.
You will learn all these concepts with hands-on examples.

⭐️ Modules⭐️

As a next step you will learn how to modularize your own Python project, but also how to use some built-in python modules.

⭐️ Project: Countdown App⭐️

With all these knowledge we can then build our next project to write a small program that accepts a goal and a deadline as user input and then outputs the number of days remaining till the goal deadline.

⭐️ Packages, PyPI & pip⭐️

In this section you will learn what packages, the difference of modules and packages and how to install them.

⭐️ Project: Automation with Python⭐️

After having learnt about third-party packages and how to install them with pip, we will use an external module for our next automation project, where we learn how to automate tasks when working with excel spreadsheet files.

⭐️ OOP - Classes and Objects⭐️

Finally, we will dive into object oriented programming, where you learn what Classes and Objects are in programming and Python specifically and why this concept is so useful.

⭐️ Project: API Request to GitLab⭐️

In the final demo project you will learn another common use case with Python, which is communicating with other applications over the internet. By making a request to fetch some data from GitLab API.
In this specific case, we will list the GitLab project of a specific user.

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