April 2018
Beginner
238 pages
7h 13m
English
Overview
Jupyter Notebook unlocks an interactive way to perform tasks in data science, statistics, and computational programming. In this cookbook, you will explore over 75 real-world cases and learn how to apply Jupyter in Python, R, Scala, and more to create interactive, dynamic, and shareable projects. You will become adept at visualizing your analytics, integrating software tools, and sharing results.
What this Book will help me do
- Install and customize Jupyter across different platforms and configure its environment.
- Develop interactive widgets and data dashboards to visualize and control data manipulation.
- Employ Jupyter for multi-language programming with Python, R, JavaScript, Scala, and Spark.
- Secure and manage shared Jupyter notebooks environments for collaborative work.
- Leverage JupyterLab's features, services, and extensions for next-generation use cases.
Author(s)
None Toomey is an experienced technical educator with extensive expertise in data science and computational systems. Having worked across various industries, None specializes in leveraging tools such as Jupyter to bring clarity and efficiency to data analysis and software development. Their real-world insights and approachable writing guide readers through even the most complex topics.
Who is it for?
This book is ideally suited for data professionals, technical analyzers, and developers seeking to enhance their effectiveness with Jupyter. It is designed for learners who are familiar with data processing but want actionable tutorials to use Jupyter's features more effectively. Readers will be able to integrate Jupyter into their workflows, even if they're new to the software.
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