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Python is one of the most used and popular programming languages used in Data Science. This is because it is easy to learn, debug, and Communicate which is why a majority of Data scientists.

There are certain Libraries in Python used by programmers to solve everyday problems and they are as follows:

PYTHON LIBRARIES USED IN DATA SCIENCE

NUMPY (Numerical Python): Numpy is a Python library used for numerical computation. It is used when working with arrays because it contains strong N-dimensional array objects.

Numpy forms the bases for other libraries like SciPY, it is also a replacement for MATLAB when used with SciPY and matplotlib.

SCIPY (Scientific Python): SciPY is an open source in Python built on NumPy. SciPY is used for solving scientific, mathematical, and engineering problems, it has built-in functions used for solving equations.

TENSOR FLOW: TensorFlow is an end-to-end open-source library in Python used for carrying out high-performance numerical computation. TensorFlow consists of layer-helpers like tf-slim, skflow, and tf-learn which makes it functional and it reduces error by 50 to 60 percent in neural machine learning.

TensorFlow is basically used for applications like Time-series analysis, speech and image recognition, text-based applications, and video detection.

MATPLOTLIB: Matplotlib is a Python library used for data visualization. It provides an object-oriented API that embeds plots into applications.

The open source feature of Matplotlib makes it a good replacement for MATLAB. Matplotlib can be applied to the correlation analysis of variables.


PYTORCH: PyTorch is also an open-source machine learning library for Python. It provides two high-level features and is commonly used for neural language processing.

SCRAPPY: This is another open-source Python framework used for extracting data from websites in a fast and simple way with the help of selectors based on Xpath.

Python has a lot of functional libraries used in Data science and if you want to be a great and better Data Scientist, you should learn to use the Python Libraries.

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