Python libraries you must know in 2021


Python libraries you must know in 2021 :


1- Numpy :

NumPy is a library for the python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical function to operate on these arrays.

2- Seaborn

Seaborn is a library for making statistical graphics in python.

It is built on top of matplotlib and closely integrated with pandas data structures.

3- Pandas

Pandas is a software library written for the python programming language for data manipulations and analysis.

In particular, it offers data structures and operations for manipulating numerical tables and time series.

4- Statsmodel :

Statsmodels is a python package that allows users to explore data, estimate statistical models, and perform statistical tests.

5- Scikit-learn :

Scikit-learn is a free software machine learning library for the python programming language.

It features various classification, regression and clustering algorithms including support vector machines.

6- Matplotlib :

Matplotlib: Visualization with python.

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in python, screenshots. 

7- Plotly :

Plotly provides online graphing, analytics, and statistics tools for individuals and collaboration, as well as scientific graphing libraries for python, R, MATLAB, Perl, Julia, Arduino, and REST.

8- Bokeh :

Bokeh is the aesthetic quality of the blur produced in out-of-focus parts of an image.

Bokeh has also been defined as " the way the lens renders out-of-focus points of light ".

Differences in lens aberrations and aperture shape cause very different bokeh effects.

9- Pydot :

Pydot : is an interface to Graphviz; can parse and dump into the DOT language used by Graphviz,; is written in pure python.

10- SciPy

SciPy is a free and open-source python library used for scientific computing and technical computing.

SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.


Read also : HOW TO BECOME A PYTHON DEVELOPER

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