At some point, we all need to show our work. Most programming work is shared either as raw source code or as a compiled executable. The source code provides complete information, but in a way that’s ...

Our digital world is so much more interactive than the paper one it has been replacing. That becomes very obvious in the features of Jupyter Notebooks. The point is to make your data beautiful, ...

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. Creating, organizing, ...

Add-on to Jupyter Notebooks enables a literate Python development style that gives you high-quality documentation, tests, continuous integration, and packaging for free. There are many ways to go ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

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 millions ...

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 development ...

Kite, which suggests code snippets for developers in real time, today debuted integration with JupyterLab and support for teams using JupyterHub. Data scientists can now get code completions powered ...

Microsoft's own VS Code dev team starts things off with a post about Native Notebook APIs, which were introduced in August. Notebooks became famous with Jupyter projects used heavily for artificial ...