For most of us, one of our favorite programming languages is Python.
Among the many reasons for being the most favorite language are its immense library and package support
When we talk about data science, artificial intelligence, and analytical areas, Python is one of the go-to languages any day. Why?
Two major reasons:
1. Huge library & package support
2. Open source & extensive community
Being a programmer, I have used Python programming immensely for building many systems. I am sure you would have used it too.
Based on the usage of the language, there are many libraries & packages which are common across multiple use cases.
Here are the most commonly used libraries in Python:
For Web Development:
- Django
- Flask
- Pyramid
For Data Visualization:
- Matplotlib
- Seaborn
- Plotly
For Web Scraping:
- Beautiful Soup
- Requests
- Scrapy
For Game Development:
- PyGame
- PyOpenGL
- Panda3D
For Data Science:
- Numpy
- Pandas
- SciPy
For Machine Learning:
- Scikit-Learn
- Tensorflow
- PyTorch
For GUI Development:
- Tkinter
- PyQt5
- PySimpleGUI
For Image Processing:
- Pillow
- OpenCV
- Scikit-Image
I am sure you would have used most of the above libraries mentioned. There are more similar packages that you might have used for development work. I hope this list is helpful.
