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:
  • Open and create new file
  • .py format
  • Running file
  • Beginner 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.

• Navigate with the generated table of contents by navigating to the left top, floating menu of this README file.

Prerequisites

• Knowledge of how to open and run commands from a command or terminal window
• Python 3 installation, VS Code installation/configuration

Table of Contents

• Setup Environment
• Python Basics
• Python Variables & Data Types
• Python Conditionals
• Python Containers
• Python Loops
• Outside Resources
• Tips
• Contributing
• License
• Contact

Resources

• Environment setup

Links

• Tutorials
• Documentation
• Developer's Guide to Python
• List of Resources
• Pandas Cookbook

(back to top)

---

---

Courses / Projects

• Course
• Learn Python
• Real Python
• Full Stack Python
• Codecademy: Python
• Travesy Media

(back to top)

Books

• Python Practice Book
• Think Python
• Automate the Boring Stuff
• Thikcspy

(back to top)

Challenges

• HackerRank
• CodingBat
• CodinGame
• Advent of Code
• LeetCode

Tips

• Run code with print() to test code

(back to top)

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

(back to top)

License

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

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

(back to top)

Contact

Tanya - @wonntann

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

(back to top)