Differences Between Python Modules, Packages, Libraries, and Frameworks

1

PyTorch

Pytorch : is an open-source deep-learning library built by Facebook’s AI Research lab to implement advanced neural networks and cutting-edge research ideas in industry and academia. -Pygame :provides developers with tons of convenient features and tools to make game development a more intuitive task.

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2

Pandas

Pandas: is a Python package for fast and efficient processing of tabular data, time series, matrix data, etc.

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3

NumPy

Numpy :is the fundamental Python package for scientific computing.

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4

Matplotlib

Matplotlib : library is a standard library for generating data visualizations in Python. It supports building basic two-dimensional graphs as well as more complex animated and interactive visualizations.

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5

Bottle

-Bottleis another lightweight framework for web development that was originally meant for building APIs. Its unique features are that it has no dependencies other than the Python Standard Library and it implements everything in a single source file.

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