Jupyter notebooks were game changers for data scientists across the globe. But should it be used indiscriminately?
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Record the execution time of ML training using timing decorators and use it for productive data science and ML optimization.
Run prescheduled Python scripts on Colab and access the results on your own drive
Does it have the edge over the browser version? A hands-on installation guide and review.
Producing high-quality API documentation can be made easy and intuitive. Supports Markdown and LaTeX.
A practical guide to install and use Python virtualenv both in terminal and in Jupyter notebooks.
Keep your settings and credentials private with .env files
A short tutorial on how to install the R Kernel and run it in Jupyter
This article reviews some common options for parallelizing Python code, including process-based parallelism, specialized libraries, ipython…
Ploomber is an open-source framework that allows teams to develop maintainable pipelines in Jupyter.
Top 1000 Medium Writer in May, June and July 2021. I write on Data Science, Python, Tutorials and, occasionally, Web Applications.
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