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.

Osoby które kupowały "Learning Jupyter 5 - Second Edition", wybierały także:

• Windows Media Center. Domowe centrum rozrywki 66,67 zÅ‚, (8,00 zÅ‚ -88%)
• Ruby on Rails. Ćwiczenia 18,75 zÅ‚, (3,00 zÅ‚ -84%)
• DevOps w praktyce. Kurs video. Jenkins, Ansible, Terraform i Docker 190,00 zÅ‚, (39,90 zÅ‚ -79%)
• Przywództwo w Å›wiecie VUCA. Jak być skutecznym liderem w niepewnym Å›rodowisku 58,64 zÅ‚, (12,90 zÅ‚ -78%)
• Scrum. O zwinnym zarzÄ…dzaniu projektami. Wydanie II rozszerzone 58,64 zÅ‚, (12,90 zÅ‚ -78%)

Spis treści

Learning Jupyter 5. Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab - Second Edition eBook -- spis treści

• 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 Coverting Jupyter Notebook
• 11. Multiuser Jupyter Notebook
• 12. What’s Next?