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Learning Jupyter 5 - Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab, 2nd Edition (Paperback, 2nd Revised edition)
Loot Price: R1,188
Discovery Miles 11 880
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Learning Jupyter 5 - Explore interactive computing using Python, Java, JavaScript, R, Julia, and JupyterLab, 2nd Edition (Paperback, 2nd Revised edition)
Expected to ship within 10 - 15 working days
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Create and share livecode, equations, visualizations, and
explanatory text, in both a single document and a web browser with
Jupyter Key Features 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 Book DescriptionThe 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. 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 Who this book is
forLearning 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.
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