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Learn Python is a fast-track course designed to teach you the essentials of Python programming in a practical, easy-to-understand way.

Home Page: https://www.ciro-maciel.click/

License: MIT License

Python 100.00%
course learn pratical python

learn_python's Introduction

Learn: Python

Learn Python is a fast-track course designed to teach you the essentials of Python programming in a practical, easy-to-understand way. Whether you're a complete beginner or someone looking to refresh your skills, this course will guide you through the fundamental concepts of Python, helping you to start coding with confidence.

Course Overview

This course is divided into modules, each focusing on key aspects of Python:

  1. Introduction to Python - Get started with Python, understand its syntax, and write your first lines of code.
  2. Variables and Data Types - Learn how to store and manipulate data in Python.
  3. Functions - Discover how to create reusable blocks of code to make your programs more efficient.
  4. Flow Control - Understand how to control the flow of your programs with loops and conditional statements.
  5. Object-Oriented Programming - Learn the principles of OOP, including classes, objects, inheritance, and polymorphism, to build robust and scalable applications.
  6. Modules and Packages - Explore how to organize your code into modules and use Python's extensive library of packages.

How to Use This Repository

  • Modules: Each module is stored in a separate Python file within the [module]/ directory. Start with main.py and work your way through the course.
  • Exercises: Each module contains practical exercises to help you apply what you've learned.
  • Examples: You'll find plenty of examples that illustrate key concepts and best practices.

Installing Python

Before you start the course, you need to have Python installed on your machine. Here's how to install Python on different operating systems:

Using the Official Installer:

  • Download the latest Python installer from the official Python website.
  • Open the installer file and follow the on-screen instructions to install Python.
  • Verify the installation:
python --version

Getting Started

Clone the repository to your local machine:

git clone https://github.com/your-username/learn-python.git
  1. Open, read, and run the 01_introduction/main.py to start the Introduction to Python module:
$ python 01_introduction/main.py
  1. Open, read, and run the 02_introduction/main.py to start the Variables and Data Types module:
$ python 02_introduction/main.py
  1. Open, read, and run the 03_functions/main.py to start the Functions module:
$ python 03_functions/main.py
  1. Open, read, and run the 04_flow-control/main.py to start the Flow Control module:
$ python 04_flow-control/main.py
  1. Open, read, and run the 05_object-oriented-programming/main.py to start the Object-Oriented Programming module:
$ python 05_object-oriented-programming/main.py
  1. Open, read, and run the 06_modules-packages/main.py to start the Modules and Packages module:
$ python 06_modules-packages/main.py

References

About the Author

This repository was created and is maintained by Ciro Cesar Maciel. I am a Software Engineer passionate about creating efficient and well-documented solutions. I am always looking for new tools and practices that can simplify and improve the development workflow.

In addition to this project, I have been working on other interesting projects related to automation, Artificial Intelligence (AI), browser extensions, and more. I am also beginning to teach what is necessary to learn Artificial Intelligence (AI), helping others to get started on their AI journey.

If you are interested in Software Development, Data Science, AI, or other tech topics, feel free to explore my GitHub profile and connect with me.

How to Find Me:

I am always open to new collaborations and projects. If you have an interesting idea or just want to exchange thoughts about development, don't hesitate to reach out!

License

This project is licensed under the MIT License - see the LICENSE file for details.

learn_python's People

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