In the spotlight
You’re invited! Join us for Radar: AI Edition
Join us for two days of events sharing best practices from thought leaders in the AI space
DataCamp Team
April 12, 2024
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8 Top Open-Source LLMs for 2024 and Their Uses
Discover some of the most powerful open-source LLMs and why they will be crucial for the future of generative AI
Javier Canales Luna
November 14, 2023
Moez Ali
September 12, 2023
Matt Crabtree
Adel Nehme
January 16, 2024
Adel Nehme
Matt Crabtree
November 22, 2023
Elena Kosourova
February 15, 2024
What is Open AI's Sora? How it Works, Use Cases, Alternatives & More
Discover OpenAI's Sora: a groundbreaking text-to-video AI set to revolutionize multi-modal AI in 2024. Explore its capabilities, innovations, and potential impact.
Richie Cotton
Matt Crabtree
February 16, 2024
All posts
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
How Much Do Americans Spend on Holiday Season?
46.4% of US citizens said that nothing would change their minds about shopping over Thanksgiving weekend.
Hugo Bowne-Anderson
November 29, 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
3 Things I learned at JupyterCon
Thoughts by DataCamp's Hugo Bowne-Anderson, inspired by the JupyterCon conference of August 2017.
Hugo Bowne-Anderson
September 11, 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