Python-bloggers

This week, we’ve been reminding ourselves of some of the amazing talks from the Shiny in Production conference in October. The recordings are now up on our YouTube channel, for anyone to vie...

Deep learning might seem like a challenging field to newcomers, but it’s gotten easier over the years due to amazing libraries and community. PyTorch library for Python is no exception, and it allows you to train deep learning models from scratch on any dataset. Sometimes it’s easier to ...

I was playing around with ChatGPT to see if it could write Python code to generate realistic recruitment process data for me. Here’s the full conversation as I was truly amazed with the results. I emboldened my prompts and had to ask ChatGPT to continue sometimes as longer responses ...

Natural Language Processing (NLP) is the branch of data science primarily concerned with dealing with textual data. It is the intersection of linguistics, artificial intelligence, and computer science.  NLP deals with human-computer interaction and helps computers understand natural language better. The main goal of Natural Language Processing is to help ...

Want to include only the libraries you use in requirements.txt? Try pipreqs, a Python module for creating leaner requirements files.

AdaBoost classification is a type of ensemble learning. What this means is that the algorithm makes multiple models that work together to make predictions. Such techniques are powerful in improving the strength of models. The video below explains how to use this algorithm within Python.

Data science and data engineering are incredibly cognitively demanding professions. As data professionals, we are required to leverage both our analytical/engineering skills and our interpersonal ...

There's more than one way to Python square roots. Learn 5 approaches to square roots in Python + some bonus advanced tricks.

Want to check if a sentence is grammatically correct with Python? Try Gingerit - a free Python grammar checker. Here are code examples and errors you might run into.