Learning Jupyter 5: Explore interactive computing using Python,Java,JavaScript,R,Julia,and JupyterLab,2nd Edition
Authors: Dan Toomey
ISBN-10: 1789137403
ISBN-13: 9781789137408
Released: 2018-08-30
Print Length 页数: 282 pages
Book Description
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.
The book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next,you will learn to integrate the Jupyter system with different programming languages such as R,Python,Java,JavaScript,and Julia,and explore various versions and packages that are compatible with the Notebook system. Moving ahead,you will master interactive widgets and namespaces and work with Jupyter in a multi-user mode.
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.
Contents
1: INTRODUCTION TO JUPYTER
2: JUPYTER PYTHON SCRIPTING
3: JUPYTER R SCRIPTING
4: JUPYTER JULIA SCRIPTING
5: JUPYTER JAVA CODING
6: JUPYTER JAVASCRIPT CODING
7: JUPYTER SCALA
8: JUPYTER AND BIG DATA
9: INTERACTIVE WIDGETS
10: SHARING AND CONVERTING JUPYTER NOTEBOOKS
11: MULTIUSER JUPYTER NOTEBOOKS
12: WHAT’S NEXT?
What You Will Learn
Install and run the Jupyter Notebook system on your machine
Implement programming languages such as R,Python,Julia,and JavaScript with the Jupyter Notebook
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
Authors
Dan Toomey
Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies,in roles from sole contributor to VP/CTO-level. For the last few years he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science,Jupyter for Data Sciences,and the Jupyter Cookbook,all with Packt.
