A Python library is a reusable chunk of code that you may want to include in your programs/ projects.
Compared to languages like C++ or C, a Python libraries do not pertain to any specific context in Python. Here, a ‘library’ loosely describes a collection of core modules.
The Python Standard Library is a collection of exact syntax, token, and semantics of Python. It comes bundled with core Python distribution. We mentioned this when we began with an introduction.
It is written in C, and handles functionality like I/O and other core modules. All this functionality together makes Python the language it is.
Tensorflow: An offering by Google, this library is used in writing Machine Learning algorithms and heavy computations involving neural networks.
Scikit-Learn: Sci-kit is used for dealing with complex data, and it is a library associated with NumPy and SciPy.
NumPy: Numpy is a python library that is used for computing scientific and mathematical data.
Theano: Theano is a functional library that helps in the calculation and computation of mathematical expressions.
Keras: Keras has several functionalities for computing models, evaluating datasets, visualizing graphs, etc. This library has simplified the implementation of neural networks.
NLTK: NLTK or Natural Language ToolKit is an open-source Python library to help in natural language processing, text analysis, and text mining.