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Python

Introduction

In this module, you will be learning Python. Python is a very popular programming language. First released in 1991 by creator Guido van Rossum. Python permits for data analysis & visualization, data science & machine learning, deep learning, web & app development, game creation, web scraping, scripting & automation and more.

This learning module is loosely outlined from the Python Documentation, first exploring built-in functions, and data types, then exploring deeper into the Python modules.

Learning Objectives

  • Create and execute a Python file
  • Write and run Python code in Visual Sudio Code
  • Learn basic Python concepts:

How To Read This & Exercise Solutions

Code examples starting with >>> represent code in the terminal, run in the Python interpreter by entering text python3 and hitting enter:

>>> python3

In order to quit the Python interpreter, press CTRL + d on a Windows or Linux machine. Insert the Python code that is displayed after the >>> symbols. Do not write those symbols in your script.

In the solution scripts, each individual exercise is commented out to make a multi-lined comment. If you want to uncomment the certain exercise, highlight the closing """ and press alt will highlighting the opening """ (if in vs code) and delete the two selections.

Prerequisites

Table of Contents

Resources

Links

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Courses / Projects

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Books

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Challenges

Tips

  • Run code with print() to test code

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Contributing

Thanks for checking out this page, since the more positive edits and critics of this repo will help this project benefit more individuals.

Submit an issue or I encourage you to fork this repo and make another page in the changes directory and contribute to this project!

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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License

The materials herein are all © 2022 @wonntann. See License for more information.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.

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Contact

Tanya - @wonntann

Project Link: https://github.com/wonntann/python

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