Matplotlib Subplots: Best Practices and Examples
20 Apr 2020 Examples on how to plot multiple plots on the same figure using Matplotlib and the interactive interface, pyplot. Includes common use cases and best practices.
Read More ›Dealing with Newline Issues on Text Files: Examples and Reference
09 Apr 2020 How to work with problems in newline encodings in text files:
Read More ›Jupyter Notebook Extensions: Examples and Reference
03 Apr 2020 Examples and reference on how to install and configure additional extensions for jupyter notebooks.
Read More ›Numpy Display Options: Examples and Reference
24 Mar 2020 Number formatting, array visualization and other options to visualize numpy elements, being especially useful for working in Jupyter notebooks.
Read More ›Pandas Display Options: Examples and Reference
24 Mar 2020 Variety of examples on how to set display options on Pandas, to control things like the number of rows, columns, number formatting, etc. Especially useful for working in Jupyter notebooks.
Read More ›Pandas Dataframes: CSV Quoting and Escaping Strategies
24 Mar 2020 Reading and writing pandas dataframes to CSV files in a way that's safe and avoiding problems due to quoting, escaping and encoding issues.
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Paper Summary: Hidden Technical Debt in Machine Learning Systems
23 Mar 2020 Summary of the 2015 article "Hidden Technical Debt in Machine Learning Systems" by Sculley et al.
Scikit-learn Pipelines: Custom Transformers and Pandas integration
08 Mar 2020 Examples and reference on how to write customer transformers and how to create a single sklearn pipeline including both preprocessing steps and classifiers at the end, in a way that enables you to use pandas dataframes directly in a call to fit.
Numpy Sampling: Reference and Examples
07 Mar 2020 Sample from probability distributions and from lists, with and without weights. Examples using Python, Numpy and Scipy.
Read More ›Spark dataframe Examples: Reading and Writing Dataframes
23 Feb 2020 Some examples on how to read and write spark dataframes from sources such as S3 and databricks file systems.
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