Data analysis is an essential tool for making informed decisions in various fields, from business and finance to healthcare and academia. To effectively analyze data, analysts use a wide range of techniques and tools, one of which is the T-chart. T-charts are powerful tools that can help simplify complex data ...

Having recently been to see the Barbie movie, it got us thinking: Barbie and Python have more things in common than meets the eye (step aside Ken!). For a start, they are both pioneers in their respective fields: Barbie is a famous fashion doll o...

nnetsauce version 0.15.0, an example of a deep-layered classifier calibrated with Automated Machine Learning (AutoML)

Highlights from this week: Custom GPTs Immortal Python Objects Hidden Gems in VS Code and Parameterball.

One of my standard approaches to scraping content from a dynamic website is to diagnose the API behind the site and then use it to retrieve data directly. This means that I can make efficient HTTP requests using the requests package and I don’t need to worry about all ...

In an earlier post, I discussed typical challenges Excel users face when transitioning to Python: This article will explore the unique “gotchas” that arise specifically when integrating Python in Excel. Importing packages Python packages are crucial for streamlined and clear data analysis. Many standard data-related Python packages come pre-installed in ...

The availability of Python integration within Excel has made Python an accessible and valuable skill for many Excel users to consider adding to their toolkit. However, as an open-source programming language, Python operates differently from proprietary spreadsheet software like Excel. This post examines a significant distinction—the use of packages ...

Statistical/Machine Learning with Python and R, using mlsauce's AdaOpt and LSBoost