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I am a new one in Data Science and Machine Learning. I have some experience in Java, Python, SQL, Jupyter and most polular libraries like scikit-learn, numpy, pandas, tensorflow, keras. What tools would you recommend else? And what OS is more suitable for DS (I've heard that Debian)?

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closed as primarily opinion-based by user20160, Stephan Kolassa, Tim Apr 24 at 6:54

Many good questions generate some degree of opinion based on expert experience, but answers to this question will tend to be almost entirely based on opinions, rather than facts, references, or specific expertise. If this question can be reworded to fit the rules in the help center, please edit the question.

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A few essential packages come to mind that every Python statisticians must know:

SciPy, which is based on NumPy, extends NumPy capabilities. You can do linear algebra, probability theory, integral calculus and many more tasks with SciPy.

StatsModels - estimating of statistical models, conducting statistical tests, and statistical data exploration.

Matplotlib - 2-dimensional static plotting, from histograms and scatterplots to non-Cartesian coordinates graphs

Seaborn - high-level API based on matplotlib. It has better default settings for statistical charts, along with a rich collection of visualizations including some complex types like time series, jointplots, and violin diagrams.

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