Python is developed under an OSI-approved open source license, making it freely usable and distributable, even for commercial use.

There are two ways you can get the list of installed packages on python.

1. Using help function. You can use help function in python to get the list of modules installed.
2. using python-pipEven though you need to install additional package for using this, you can easily search or filter the result with grep command.

There are over 137,000 python libraries present today. Python libraries play a vital role in developing machine learning, data science, data visualization, image and data manipulation applications and more.

Python standard library

• Matplotlib. This library is used for the plotting of numerical data and used in data analysis.
• Scipy (Scientific Python) Scipy is an open-source python library used for scientific computation, data computation, and high-performance computation.
• SQLAlchemy.
• Scrapy.
• PyTorch.
• Theano.
• SymPy.
• Caffe2.

Check the version of Python package / library

1. Get the version in Python script: __version__ attribute.
2. Check with pip command. List installed packages: pip list. List installed packages: pip freeze. Check details of installed packages: pip show.
3. Check with conda command: conda list.

Procedure

1. On your VM or host, download Python 3.6 or later.
2. Choose custom installation and choose the following options.
3. After Python is installed, install the requests and psnow Python libraries.
4. Verify the Python libraries are installed correctly.
5. At the Python prompt, type modules.

But first – is Django a library? Still, it’s worth to clarify this: Django is not a library, but a framework. Django is a free, open-source, high-level Python web framework that promotes rapid development and clean design.

NumPy is a Python package. It stands for ‘Numerical Python’. It is a library consisting of multidimensional array objects and a collection of routines for processing of array. Numeric, the ancestor of NumPy, was developed by Jim Hugunin.

The Python Standard Library is a collection of script modules accessible to a Python program to simplify the programming process and removing the need to rewrite commonly used commands. They can be used by ‘calling/importing’ them at the beginning of a script.

Pip

1. To install the latest version of a package: >>pip install ‘PackageName’
2. To install a specific version, type the package name followed by the required version: >>pip install ‘PackageName==1.4’
3. To upgrade an already installed package to the latest from PyPI: >>pip install –upgrade PackageName.

Overall Python is better than C++ in terms of its simplicity and easy syntax. But C++ is better in terms of performance, speed, vast application areas, etc. C and C++ form the basis of every programming. Python is in fact built on C with web programming in mind.

About: Pygame is an open-source Python library for making multimedia applications like games built on top of the excellent SDL library.

The most important Python libraries and packages for Data Science . These are the five most essential Data Science libraries you have to know: Numpy. Pandas. Matplotlib. Scikit-Learn. Scipy.

– NumPy. NumPy library makes it easier for ease to perform Num erical operations in Py thon. – Pandas. The Pandas library is used for manipulating data. – Matplotlib. Matplotlib library in Python is essential for the visualization of data analysis results. – Scikit-Learn. This library is essential when you want to use machine learning for predicting the outcome.

There are 20 Python Libraries that you cannot live without: Requests. Scrapy . wxPython.A GUI toolkit . Pillow. SQLAlchemy . Beautiful Soup. Twisted. Numpy . SciPy . matplotlib.a numerical plotting library. Pygame. Pyglet . pyQT . pywin32.for interacting with Windows. pyGtk. nltk. Nose. IPython . Sympy . Scrapy.

There are some must-known python libraries for a Data scientist to ease these things. Numpy:- It’s is a python library used for working with arrays. It also has functions for working in the domain of linear algebra, Fourier transform, and matrices. NumPy was created in 2005 by Travis Oliphant.