quick-references
Matplotlib
In the world of data visualization, Matplotlib stands tall as one of the most popular and versatile libraries. With its extensive capabilities and easy-to-use interface, Matplotlib empowers data scientists and analysts to create stunning visual representations of their data.
PyTorch
In the realm of deep learning and artificial intelligence, PyTorch has emerged as a powerful and widely adopted framework. Developed by Facebook's AI Research lab, PyTorch provides a flexible and intuitive platform for building and training neural networks.
Seaborn
Data visualization plays a crucial role in understanding and interpreting complex datasets. It helps us uncover patterns, trends, and insights that might otherwise remain hidden. Among the numerous tools available for data visualization in Python, Seaborn stands out as a powerful and versatile library.
SymPy
In the world of mathematics and scientific computing, SymPy stands out as a powerful Python library that brings the benefits of symbolic computation to the fingertips of developers, researchers, and students alike. Whether you need to solve equations, perform algebraic manipulations, differentiate or integrate functions, or even work with matrices, SymPy offers an extensive set of tools and functionalities.