These are my go-to libraries for Python data crunching.

When comparing tourism spending in two regions or price trends for two items in university seminars or reports, are you satisfied with looking only at the 'average'? Let me state the conclusion: in ...

While Excel is ubiquitous, I prefer Python for my data analysis. Spreadsheets are great for formatting data, but it's Python that's allowed me to build my own super calculator out of regular Python ...

Fama–French Factor Graphs is a Python-based analytical tool for visualising factor model regressions using the Fama–French framework. The program enables users to plot and compare exposures to the ...

"I am a student, not a professional investor." "What I provide here is not 'fish' (recommended stocks), but a 'fishing rod' (analysis code)." "I cannot be held responsible for the results of executing ...

Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. Typing questions into a chatbot is nice, ...

Recently, OpenAI released Code Interpreter in ChatGPT for all paying users. However, it costs $20 per month, which is not affordable for everyone. So if you want to use ChatGPT Code Interpreter for ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Programming is a key transferable skill within the chemical sciences with applications ...

Why is Python so important to data science today? Its simplicity, versatility, and robust support system have made it almost indispensable for data scientists, with Python now appearing as a ...

mcplot provides a class that combines methods to easily produce publication-ready graphics on light or black background. It includes a large number of colormaps collected from different sources. There ...