Google Colab and Jupyter Notebook are powerful tools for coding and data analysis, each offering unique features and benefits. Compare them to choose the best fit for your needs.

They aren’t the only forum for such conversations — IPython, the interactive Python interpreter on which Jupyter’s predecessor, IPython Notebook, was built, is another.

The Jupyter notebook started as an IPython project (and if fact was called “IPython Notebook”), but about three years ago was separated from IPython and became usable with other languages ...

This year marks ten years since the launch of the IPython Notebook. The open-source tool, now known as the Jupyter Notebook, has become an exceedingly popular piece of data-science kit, with ...

Jupyter Notebook was created to make it easier to show one’s programming work, and to let others join in. Jupyter Notebook allows you to combine code, comments, multimedia, and visualizations in ...

Researchers and programmers know the Jupyter Notebook as a web-based environment where they can do computational research with native support for code, math and data visualization.. Today at SciPy ...

Jupyter Notebook and PyCharm are data science notebook and development tools, respectively. Compare key features to see which tool is best for your business. Choosing the right integrated ...

Version 1.58 also boosted notebook functionality, specifically Jupyter implementations. Formerly called IPython Notebook, the open source Jupyter project helps developers easily combine Markdown text, ...

Formerly called IPython Notebook, the open source Jupyter project helps developers easily combine Markdown text, visualizations, narrative text and executable Python source code such as equations in ...