In the spotlight
How to Learn Claude: A Complete Guide From Beginner to Pro
Discover how to learn Claude. This guide takes you through a structured Claude learning path, from mastering the basics to using advanced features.
Matt Crabtree
August 4, 2026
Most recent
GPT-6 Astra: Features, Benchmarks, Pricing, and How to Access It
September 3, 2026
Claude Fable 5.1: Features, Benchmarks, and Pricing
September 2, 2026
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Trending
The Top 11 ChatGPT Alternatives You Can Try in 2026
A practical guide to 11 ChatGPT alternatives in 2026, with use-case guidance for research, coding, productivity, and data science.
Javier Canales Luna
June 3, 2026
Matt Crabtree
Adel Nehme
May 25, 2026
Adel Nehme
Matt Crabtree
May 11, 2026
Elena Kosourova
April 30, 2026
Abid Ali Awan
February 27, 2026
Claude Cowork Alternatives: 8 Agentic Tools Compared on Price, Cloud Execution, and Model Choice
Claude Cowork is locked to Claude models, and its run-in-the-cloud mode is still in limited beta. I compared 8 alternatives, from ChatGPT Work to self-hosted agents you run with your own API keys.
Tom Farnschläder
August 8, 2026
All posts
10 Simple Rules for Being a Good Research Partner
These 10 simple rules will help researchers and practitioners in data science overcome the frustrations they might feel when working with each other.
Greg Wilson
January 23, 2018
An Interview with François Chollet
DataCamp's Hugo Bowne-Anderson interviewed Keras creator and Google AI researcher François Chollet about his new book, "Deep Learning with Python".
Hugo Bowne-Anderson
December 18, 2017
Version Control For Data Science
Discover how to overcome the steep learning curve of version control for data science, while also taking into account best practices and recommendations.
Greg Wilson
December 7, 2017
Using Data Science to Explore Software Development
What can data science mean for software development? In this blog post, you'll discover some interesting case studies of data science in software engineering!
Greg Wilson
November 20, 2017
How the #MeToo Movement Spread on Twitter
What can data science tell us about tweets with the #MeToo hashtag?
Hugo Bowne-Anderson
November 14, 2017
A Data Scientist's Guide to Environment Variables
As a data scientist, you might have to configure environment variables for data science projects locally or globally, on a platform. This guide will show you all you need to know!
Eric Ma
November 9, 2017
Why Scientists Should Use Python for Scientific Computing
Discover the scope of Python for research, why scientists should use Python for scientific computing and how the Python community can effectively aid scientific research.
Hugo Bowne-Anderson
November 7, 2017
Cloud Computing and Architecture for Data Scientists
Discover how data scientists use the cloud to deploy data science solutions to production or to expand computing power.
Alex Castrounis
September 20, 2017
Spaghetti Plots and Hurricanes' Paths
Discover why (not) to use spaghetti plots to convey the uncertainty of hurricanes' predicted paths and their impact on interpretation.
Hugo Bowne-Anderson
September 18, 2017
What We Learned From Teaching 1M People Data Science
Some insights about what we learned from teaching data science to 1 million people
Karlijn Willems
May 16, 2017
IPython Or Jupyter?
A discussion of the evolution of and some of the key differences between IPython and Jupyter.
Karlijn Willems
May 11, 2017
R Correlation Tutorial
Get introduced to the basics of correlation in R: learn more about correlation coefficients, correlation matrices, plotting correlations, etc.
David Woods
March 20, 2017