Mastering Python Fundamental in 10 Lesson

Introduction

• The Mastering Python Fundamental in 10 Lesson are designed by AI Academy. The problem was solved by me while I am attending at UI Academy.
• The material consist of (Python Basic Data Type, Functions, Class-Object, Python Data Structures, Graph, Tree )

Technology

List of technology

• Python
• Object Oriented Design
• Jupyter Notebook
• Data Visualization
• Machine Learning

Python for Data Science Tools:

These are packages that are usually used for Data Science:

• Python 3 Standard Library
• NumPy Documentation
• Pandas Documentation
• Mathplotlib Documentation

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

What things you need to install the software and how to install them

• Jupyter Notebook: If you want just test the code, simply go to google and search for jupiter notebook or another Python online IDE. The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text.
• Anacoda Navigator: Install Anaconda Navigator if you want to develop data-science projects using Python or R. Anaconda Navigator is a desktop graphical user interface included in Anaconda that allows you to launch applications and easily manage conda packages, environments and channels without the need to use command line commands.

Installing

A step by step series of examples that tell you how to get a development enviroment running

• Install Anacoda Navigator - If you haven't downloaded and installed Anacoda Navigator yet, here's how to get started.
• Jupyter Notebook - Click here to go to the online free Jupiter Notebook.

Running the tests

Explain how to run the automated tests for this system:

• There is no download IDE need, all you need is download all the src to your machine and run it.
• Using Jupiter Notebook
• Navigate to the file .ipynb
• hit:

Ctrl + Enter

Deployment

All the notebook can be used for research and academic basic function for Python.

Built With

• Jupyter Notebook

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Versioning

We use SemVer for versioning. For the versions available, see the tags on this repository.

Authors

• Truc Huynh - Initial work - TrucDev

Format

my README.md format was retrieved from

• Billie Thompson - Initial work - PurpleBooth

License

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

Acknowledgments

• Any acknowledgments go here