16 Python Libraries You Should Know
Python, a versatile and powerful programming language, has gained popularity for its simplicity, readability, and extensive ecosystem of libraries. Let’s look at 16 helpful libraries.
NumPy
An essential library for numerical calculations, offering support for big, multi-dimensional matrices and the mathematical operations needed to work with them.
Pandas
Pandas is a highly effective data manipulation and analysis library. It provides data structures such as DataFrame for managing structured data effectively.
Matplotlib
A plotting library for creating static, animated, and interactive visualizations in Python
Seaborn
Built on top of Matplotlib, Seaborn is a statistical data visualization library that simplifies the creation of informative and attractive statistical graphics.
Scipy
Scipy is a library for scientific and technical computing that is built on top of NumPy. It offers resources for interpolation, integration, optimization, and more.
Scikit-learn
a machine learning library that offers simple but powerful tools for data analysis and mining. It contains different classification, regression, clustering, and other techniques.
TensorFlow or PyTorch
These two deep learning frameworks are among the most widely used. They offer resources for developing, honing, and implementing machine learning models, including neural networks.
Requests
A library for making HTTP requests.
Beautiful Soup
A library for web scraping that allows you to extract data from HTML and XML documents
Flask / Django
These two libraries are popular web development frameworks. While Django offers a comprehensive and full-featured framework for creating web applications, Flask is small and adaptable.
PyQt / Tkinter
Libraries for creating graphical user interfaces (GUIs) in Python The Qt application framework has a connection called PyQt, while Tkinter is the default GUI library for Python.OpenCV
datetime
For working with dates and times. It provides classes and functions to handle date arithmetic, formatting, and parsing.
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