Jupyter vs SageMath: What are the differences?
Developers describe Jupyter as "Multi-language interactive computing environments". The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media. On the other hand, SageMath is detailed as "A free open-source mathematical software system". It is a free open-source mathematics software system licensed under the GPL. It builds on top of many existing open-source packages: NumPy, SciPy, matplotlib, Sympy, Maxima, GAP, FLINT, R and many more.
Jupyter and SageMath can be primarily classified as "Data Science Notebooks" tools.
Jupyter is an open source tool with 6.12K GitHub stars and 2.58K GitHub forks. Here's a link to Jupyter's open source repository on GitHub.
What is Jupyter?
What is SageMath?
Need advice about which tool to choose?Ask the StackShare community!
Why do developers choose SageMath?
Sign up to add, upvote and see more prosMake informed product decisions
What are the cons of using Jupyter?
What are the cons of using SageMath?
Sign up to get full access to all the companiesMake informed product decisions
Sign up to get full access to all the tool integrationsMake informed product decisions
When integrated with cloud platforms it's an easy way to code and test data science projects. The web-based nature makes it easy to transition between coding on your local machine or the cloud.
EECS 445 and MDST
Used it for that sometimes mostly I tried to use it for something I was doing in MDST. I have failed to actually properly use it to it's full potential.