Traditionally, notebooks have been used to document research and make results reproducible, simply by rerunning the notebook on source data. Before diving directly into writing code, let us familiarise ourselves with writing the code notebook style! The Notebook way We will learn about writing code in the notebooks and will focus on the basic features of notebooks. In this blog, we are going to learn about Jupyter notebooks and Google colab. Notebooks are typically used by data scientists for quick exploration tasks. There are kernels/backends to multiple languages, such as Python, Julia, Scala, SQL, and others. Today there are many notebooks to choose from Jupyter, R Markdown, Apache Zeppelin, Spark Notebook and more. How do we know? They’re replacing PowerPoint in presentations, shared around organizations, and they’re even taking workload away from BI suites. Interactive notebooks are experiencing a rise in popularity.
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