PACK | Jupyter Cookbook (2018 EN)

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  1. Kanka

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    Author: Dan Toomey
    Full Title: Jupyter Cookbook: Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
    Publisher: Packt Publishing (April 30, 2018)
    Year: 2018
    ISBN-13: 9781788839440 (978-1-78883-944-0)
    ISBN-10: 1788839447
    Pages: 238
    Language: English
    Genre: Educational: Data Analysis
    File type: EPUB (True), Code Files
    Quality: 10/10
    Price: 31.99 €


    Leverage the power of the popular Jupyter notebooks to simplify your data science tasks without any hassle.

    Jupyter has garnered a strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share, scientific applications.

    The book starts with recipes on installing and running the Jupyter Notebook system on various platforms and configuring the various packages that can be used with it. You will then see how you can implement different programming languages and frameworks, such as Python, R, Julia, JavaScript, Scala, and Spark on your Jupyter Notebook. This book contains intuitive recipes on building interactive widgets to manipulate and visualize data in real time, sharing your code, creating a multi-user environment, and organizing your notebook. You will then get hands-on experience with Jupyter Labs, microservices, and deploying them on the web.

    By the end of this book, you will have taken your knowledge of Jupyter to the next level to perform all key tasks associated with it.


    Learn:
    ✓ Install Jupyter and configure engines for Python, R, Scala and more
    ✓ Access and retrieve data on Jupyter Notebooks
    ✓ Create interactive visualizations and dashboards for different scenarios
    ✓ Convert and share your dynamic codes using HTML, JavaScript, Docker, and more
    ✓ Create custom user data interactions using various Jupyter widgets
    ✓ Manage user authentication and file permissions
    ✓ Interact with Big Data to perform numerical computing and statistical modeling
    ✓ Get familiar with Jupyter's next-gen user interface - JupyterLab

    Features:
    ✓ Create and share interactive documents with live code, text and visualizations
    ✓ Integrate popular programming languages such as Python, R, Julia, Scala with Jupyter
    ✓ Develop your widgets and interactive dashboards with these innovative recipes

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    Last edited by a moderator: Aug 5, 2020