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. Apache Spark and ...

In the data world, we are used to visualizations. They're everywhere: in BI tools, in machine learning-oriented notebooks, in spreadsheets, and even in cloud management tools. But there are a few ...

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 ...

Analytics has evolved from the basics -- visualizations, historicals and dashboards -- to the more complex with recommendations and predictions of outcomes. Now it's time to step it up and get ...

Jupyter creates interactive documents to mix code, text, and graphics. Jupyter is popular for sharing code and results in scientific computing. Jupyter notebooks consist of Markdown and code cells ...

While you can do some good data analysis with a spreadsheet like Excel, if you want to take your calculations to the next level, you might try Python in a Jupyter notebook instead. Here are some ...

Jupyter Notebooks let you combine code, comments, multimedia, and visualizations into an interactive document that can be shared, re-used, and re-worked. Originally developed for data science ...