Python-bloggers

Python in Excel provides a user-friendly and data analysis-optimized approach, especially suitable for general analysts beginning with Python. Notably, it defaults to loading all data inputs as Pandas DataFrames, a wise decision considering Excel users’ familiarity with tabular structures. Basic Python, on its own, isn’t inherently tailored for such ...

Dowload data from R-Universe API

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 ...