PythonLibraries in Python Explained: List of all the core Python Standard Libraries in 2022

In Python, a library is a previously combined set of codes that can be iteratively used, the program uses these libraries to make the codes smaller as these libraries are reusable pieces of code. hence reducing time. Python has been widely used in the present time being a high-level programming language.

Python, having a humongous collection of libraries and packages a programming language has at its disposal, the more diverse use-cases it can have. The python standard libraries are mostly written in the C programming language. Libraries in Python play a key role in areas of data science, machine learning, data manipulation applications, etc. The standard library consists of more than 200 core modules and around 137,000 python libraries have been developed to date.

Let’s cover the top 10 general Python libraries:

matplotlib:  Matplotlib is a plotting library for the Python programming language. It is very useful for any data scientist or any data analyzer. and its numerical mathematics extension NumPy. This open-source library is used for publishing high-quality figures like graphs, pie charts, scatterplots, histograms, etc.

Requests: One of the most popular general Python libraries is Requests written by Kenneth Reitz. which aims to make HTTP requests simpler and more human-friendly like adding headers, the formation of data, and accessing responsive data objects, which include content data, encoding data, status, etc. It’s a must-have for every python developer.

Pillow: pillow is a friendly fork of Python Imaging Library. It is more user-friendly than PIL and is a must-have for anyone who works with images. Pillow offers an effective internal representation and extensive file format support. Pillow core Python library is to fast access to data stored in a few basic pixel formats.

Scrapy:  scrapy is a must for people involved in web scraping. Scrapy is an open-source framework in Python for the extraction of data from websites. Scrapy was developed for web scraping but has evolved to fulfill other purposes over its course. It is a fast, high-level web scraping. Mining of data for information retrieval, Supports exporting scraped data using the command line, Calculation of data in data analysis tools are some of the highlights of scrappy.

NumPy: NumPy is a numerical mathematics extension. NumPy defines Numerical Python. The NumPy library is popular for array and matrix processing using a set of mathematical functions.  This library is mostly used in machine learning computations. NumPy is preferred over lists in python because of Convenient, Less memory, Fast.

SciPy: Scipy means Scientific Python. It is a library of algorithms and mathematical tools for python and has caused many scientists to switch from ruby to python. Scipy is an open-source python library used for scientific computation, data computation, and high-performance computation. A large number of sub-packages are available in SciPy which are: cluster, constants, integrate, interpolate, optimize, signal, sparse, spatial, stats, and, etc.

Pygame: The PyGame package provides an interface to the Simple Direct Media Library platform-independent graphic, audio, and input libraries. Pygame is a free and open-source Python library that is meant for accomplishing multimedia application development in Python, especially 2D game development Hence, it is widely used by both casual and professional Python game developers.

Pandas: The panda is an open-source library and BSD licensed. Python libraries are mainly used in Data Science and machine learning subjects. They are mostly used for the analysis, manipulating numerical tables, and cleaning of data.

SQLAlchemy: SQLAlchemy is a database library. This library of python is mostly used for accessing information from databases supporting a wide range of databases and layouts.

BeautifulSoup: BeautifulSoup is a library under Python programming used for the extraction and collection of information from websites like Scrapy. it’s slow but this XML and HTML parsing library is very useful for beginners.