Tuesday, August 20, 2019

A Review Of Google's Colab And CoCalc for Collaborative Data Science

As part of my on-going series on learning data science and reviewing the latest tools, I ended up needing to work on data analysis with people in different countries. While big companies have their own internal tools for sharing code among teams, there were less available for students and freelancers. Fortunately, two such tools, Google Colab and CoCalc, are emerging to help data scientists collaborate online (Disclosure, I am a contractor with the tech policy nonprofit, Tech4America). 
Google's Colaboratory (Colab, for short) began as a research project with makers of the popular online programming notebook, Jupyter. The features have recently ramped up, as machine learning and other data science needs have become more commonplace.
Read the full article at:

No comments:

Post a Comment

Have a Say?..Note it down below.

Featured Posts

3rd International Conference on Computational Intelligence (ICCI 2026): Machine Learning for Geospatial Analytics

The 4th International Intelligent Computing and Technologies Conference (ICTCon 2026) is being jointly hosted at National Forensic Sciences ...