Python

What is Python?

Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed.

Why Learn Python ?

According to GitHub Octoverse Python is the second most popular programming language with more than 1M pull requests opened on 2017 and for the IEEE Spectrum Rank python has became the most popular programming language in the 2017 displacing languages like C or Java, also, Python has a lot of packages and libraries for all uses like data science, game programming, web development, astronomy, AI. The names of these libraries and references are listed here.

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

• Last stable version of Python
• Anaconda
• A computer with OSX, Windows, Linux

Installing

• Install the last stable version of Python, in this case I will install Python 3.3.6, you can download it from this page Python

• Install Anaconda from the official page (for Python 3.6) Anaconda

Check installation:

1.- Open a terminal

2.- type:

python --version

4.- If you got the next result the installation of Python 3 is complete:

5.- Check this link to know how to use Anaconda

Run simple code:

You can find here a simple example

More examples

This branch a simple example has programs in Jupyter

Also you can use the next editors to build programs:

• Atom and the package Hydrogen
• Pycharm

Contributing

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

Versioning

I use SemVer for versioning.

Authors

Antonio Vega Ramirez:

• Github
• Twitter

Enrique Calderon Sastre:

• Github
• Twitter

License

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

For more references you can check:

• python.org