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The Science Behind Mental Health App Features: What Works Best?

Libraries are collection of functions and methods that enable you to perform a wide variety of actions without writing the code yourself. First of all, there are over 137.000 libraries in Python. In this article we are going to learn : Scientific Computing Libraries in Python Visualization Libraries in Python High-Level Machine Learning and Deep Learning Libraries in Python Deep Learning Libraries in Python Python Libraries for NLP ( Natural Language Processing )

NumPy is the fundamental package for scientific computing in Python. Numpy stands for Numerical Python. If you want to work with machine learning or data science, Numpy is a Python library you will mostly use. It is a Python library that provides a multidimensional array object for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, and much more.