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IPython documentation

https://ipython.readthedocs.io/en/st

NumPy website

https://numpy.org/

The N-dimensional array (ndarray)

https://numpy.org/doc/stable/reference/arrays.ndarray.html

Mathematical functions in NumPy

https://numpy.org/doc/stable/reference/routines.math.html

Pandas website

https://pandas.pydata.org/

Time series in Pandas

https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html

Effective Pandas

https://leanpub.com/effective-pandas

PyVideo (NumPy, Pandas, Scikit-learn, Matplotlib, Plotly, etc)

https://pyvideo.org/search?q=pandas

Xarray website

Pandas-style N-dimensional arrays https://xarray.pydata.org/

Matplotlib website

https://matplotlib.org/stable/index.html

Matplotlib gallery

https://matplotlib.org/stable/gallery/

"Ten Simple Rules for Better Figures" by Nicholas Rougier, Michael Droettboom, and Philip Bourne, 2014

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1003833

Choosing colormaps in Matplotlib

https://matplotlib.org/stable/tutorials/colors/colormaps.html

Annotations in Matplotlib

https://matplotlib.org/stable/tutorials/text/annotations.html

Customizing Matplotlib with style sheets and rcParams

https://matplotlib.org/stable/tutorials/introductory/customizing.html

Seaborn website

http://seaborn.pydata.org/

Seaborn example gallery

https://seaborn.pydata.org/examples/index.html

PyViz: Python tools for data visualization

https://pyviz.org/

Linear models in Scikit-learn

https://scikit-learn.org/stable/modules/linear_model.html

Cross-validation in Scikit-learn

https://scikit-learn.org/stable/modules/cross_validation.html

Grid search in Scikit-learn

https://scikit-learn.org/stable/modules/grid_search.html

Manifold learning in Scikit-learn

https://scikit-learn.org/stable/modules/manifold.html

Selecting the number of clusters with silhouette analysis on K-Means clustering in Scikit-learn

https://scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_silhouette_analysis.html

Color quantization using K-Means in Scikit-learn

https://scikit-learn.org/stable/auto_examples/cluster/plot_color_quantization.html

Density estimation in Scikit-learn

https://scikit-learn.org/stable/modules/density.html

Scikit-image

https://scikit-image.org/

Forests of randomized trees

https://scikit-learn.org/stable/modules/ensemble.html#forest

OpenCV website

http://opencv.org/

pandaSDMX

https://pypi.org/project/pandaSDMX/

Synthetic Data Vault

https://pypi.org/project/sdv/

The Synthetic Data Vault (SDV) is a Python library designed for creating tabular synthetic data from coupled tables. There are free and commercial versions of the package.