Python: popular programming languages for data science.

February 10, 2019 February 25th, 2019 General Studies

Python:
It is one of the most popular programming languages for data science.
It has a large number of useful add-on libraries developed by its great developer and open-source community.
Extension libraries such as NumPy and SciPy have been developed for fast and vectorized operations on multidimensional arrays.
Scikit-learn:
It is currently one of the most popular and accessible open source machine learning library.
Pandas:
It is a library built for fast data analysis and manipulation.
Matplotlib:
It is probably the single most used library for 2D-graphics plotting. It provides both a very quick way to visualize data and publication-quality figures in many formats.
Tensorflow and Keras:
The two libraries can be used to largely simplify coding in programming for deep learning.

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