The top 20 Useful Python Modules and Libraries include essential tools that make Python development faster and easier.
Popular libraries like NumPy, Pandas, Matplotlib, Requests, BeautifulSoup, Django, and Flask help with data analysis, web development, automation, and more.
These Python libraries are widely used for machine learning, data science, APIs, and scripting tasks.
Top 20 useful Python modules and libraries
Web Scraping:
1: Request Library:
Web scraping.
Web development.
2: Beautiful Soup Library:
Data scraping.
We can get HTML.
3: Selenium Library:
To automate a web browser.
We can scrap the data.
Web Development:
1: Django Library:
Used for web development.
Most used library.
2: Flask Library:
Used for web development.
Build websites from scratch.
Data Analysis:
1: NumPy Library:
Used for Data science.
Used for Scientific calculations.
2: Pandas Library:
Used for Data manipulation.
Dealing with missing data.
3: Matplotlib Library:
Used for creating Charts.
Data Science:
1: NLTK Library:
Used for Data processing.
Used for Data organization.
2: SciPy Library:
Free and Open source library.
It has around 600 contributors on GitHub.
Machine Learning:
1: TensorFlow Library:
Also, a Deep learning library.
2: Keras Library:
Used for Deep learning models.
3: PyTorch Library:
It provides maximum flexibility.
4: Scikit Library:
It provides us with all the machine learning algorithms.
5: OpenCV Library:
Major use in image processing and video processing.
Graphical User Interface:
1: Kivy Library:
Used for creating GUI Applications.
We can create a cross-platform Application.
2: PYQT5 Library.
3: Tkinter Library.
Hobby:
1: Pygame Library: Used for Game Development.
