Using Jupyter Notebook
Data science and scientific computing are privileged to have an amazing interactive tool called Jupyter Notebook. With Jupyter Notebook you can to write and run code in an interactive web environment, which also has the capability to have visualizations, images, and videos. It makes testing of equations and prototyping a lot easier. It has the support of over 40 programming languages and is completely open source.
GitHub supports Jupyter notebooks. The notebook with the record of computation can be shared via the Jupyter notebook viewer or other cloud storage. Jupyter notebooks are extensively used for coding machine-learning algorithms, statistical modeling and numerical simulation, and data munging.
Jupyter Notebook is implemented ...
Get Julia for Data Science now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
