Important Libraries for python

To make your work easier install following things in python:

1. ipython

[write following command in cmd]

pip install ipython

IPython is a command shell for interactive computing in multiple programming languages, originally developed for the Python programming language, that offers introspection, rich media, shell syntax, tab completion, and history. IPython provides the following features:

• Interactive shells (terminal and Qt-based).
• A browser-based notebook with support for code, text, mathematical expressions, inline plots and other media.
• Support for interactive data visualization and use of GUI toolkits.
• Flexible, embeddable interpreters to load into one's own projects.
• Tools for parallel computing.

2. jupyter notebook

pip install jupyter

(to open jupyter)

jupyter notebook

The Jupyter Notebook is a web application that allows you to create and share documents

that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.

3.terminal 

pip install terminado 

(to install terminal in jupyter)

4. numpy

pip install numpy

NumPy is the fundamental package for scientific computing with Python. It contains among other things:

• a powerful N-dimensional array object
• sophisticated (broadcasting) functions
• tools for integrating C/C++ and Fortran code
• useful linear algebra, Fourier transform, and random number capabilities

5. scipy

pip install scipy

SciPy (pronounced “Sigh Pie”) is a Python-based ecosystem of open-source software for mathematics, science, and engineering. 

6. matplotlib

pip install matplotlib

matplotlib is a python 2D plotting library which produces publication quality figures in a variety of hardcopy formats and interactive environments across platforms. matplotlib can be used in python scripts, the python and ipython shell (ala MATLAB^®* or Mathematica^®†), web application servers, and six graphical user interface toolkits.

7. pandas

pip install pandas