Introduction to Python language

We introduce here the Python language. The material presented are in reference form scipy-lecture-notes. To learn more about the language, consider going through the excellent tutorials on https://docs.python.org/tutorial and scipy-lectures.

Python is a programming language, as are C, Fortran, BASIC, PHP, etc. Some specific features of Python are as follows:

an interpreted (as opposed to compiled) language. Contrary to e.g. C or Fortran, one does not compile Python code before executing it. In addition, Python can be used interactively: many Python interpreters are available, from which commands and scripts can be executed.
a free software released under an open-source license: Python can be used and distributed free of charge, even for building commercial software.
multi-platform: Python is available for all major operating systems, Windows, Linux/Unix, MacOS X, most likely your mobile phone OS, etc.
a very readable language with clear non-verbose syntax
a language for which a large variety of high-quality packages are available for various applications, from web frameworks to scientific computing.
a language very easy to interface with other languages, in particular C and C++.
Some other features of the language are illustrated just below. For example, Python is an object-oriented language, with dynamic typing (the same variable can contain objects of different types during the course of a program).

See https://www.python.org/about/ for more information about distinguishing features of Python.

In this course we will try to cover:

basic types
control flow
functions
reusing code
input-output
standard libraries
object-oriented programming

Requirements

Clone or save the zip folder of the git repository

        git clone https://github.com/mrastgoo/introduction-to-python

By installing Anaconda3 or miniconda3 you should have all the necessary packages.

Otherwise, make sure to have

* jupyter lab
* jupyter notebook
* numpy 
* python 3.8

if you have anaconda or miniconda install

Create your own environment

     conda create --name py_intro -y python=3.8

Install the necessary packages
```
     pip install -r requirements.txt
```

Add a new ipython kernel for your virtual env

     python -m ipykernel install --user --name py_intro --display-name py_intro

In case of any problem in running the notebooks locally from your pc use launch-binder to access the notebooks