Home Page of jupyter.org states, “The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical modeling, machine learning and much more.” It really is much more!
Whereas the name stands for Julia, Python and R languages, it supports over 40 programming languages.
UC Berkeley states that within 3 years of its release, Jupyter Notebook is being used by more than 1 million academics and professionals in fields ranging from finance to astrophysics. Jupyter has won significant praise and support and emerged as the gold standard application for data science. The software is considered a game-changer for research.
We can use it for exploratory software development, writing technical reports, blog posts, presentations, and even to write full length books. Some publishers accept manuscripts of books in notebooks.
I have been using Jupyter Notebook while teaching various subjects and am hooked on to it now.
On 9th August at 6:00 p.m., I’ll be talking at Bangalore Science Forum on “Jupyter Notebook for Learning, Teaching, and Authoring.” The venue is H Narasimhaiah Memorial Hall, National College, Basavanagudi. The talk may be streamed live on this facebook page.