Python-bloggers

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

AI in R and Python Greetings, humanists, social and data scientists! Welcome to this enlightening journey to extract historical data from the Web using AI! In this lesson, we delve into the innovative ways of harnessing the power of ChatGPT to ...

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 ...

Photo by Levart_Photographer on Unsplash Introduction I have recently completed a project at work, the creation of a custom ChatGPT chatbot. I will break the project into two parts, the first part will scan a folder of PDF files into a data...

AutoML with nnetsauce, that implements randomized and quasi-randomized 'neural' networks for supervised learning and time series forecasting