Create and share livecode, equations, visualizations, and explanatory text, in both a single document and a web browser with Jupyter
Learn how to use Jupyter 5.x features such as cell tagging and attractive table styles
Leverage big data tools and datasets with different Python packages
Explore multiple-user Jupyter Notebook servers
The Jupyter Notebook allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, and machine learning. Learning Jupyter 5 will help you get to grips with interactive computing using real-world examples.
By the end of this book, you will have used Jupyter with a big dataset and be able to apply all the functionalities you’ve explored throughout the book. You will also have learned all about the Jupyter Notebook and be able to start performing data transformation, numerical simulation, and data visualization.
What you will learn
Install and run the Jupyter Notebook system on your machine
Use interactive widgets to manipulate and visualize data in real time
Start sharing your Notebook with colleagues
Invite your colleagues to work with you on the same Notebook
Organize your Notebook using Jupyter namespaces
Access big data in Jupyter for dealing with large datasets using Spark
Who this book is for
Learning Jupyter 5 is for developers, data scientists, machine learning users, and anyone working on data analysis or data science projects across different teams. Data science professionals will also find this book useful for performing technical and scientific computing collaboratively.