Jupyter Cookbook

Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more

Dan Toomey 지음

Packt(GCO Science) 2018년 04월 30일 출간

작품소개

책소개

▶Book Description
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.

▶What You Will 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

▶Key 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

▶Who This Book Is For
This cookbook is for data science professionals, developers, technical data analysts, and programmers who want to execute technical coding, visualize output, and do scientific computing in one tool. Prior understanding of data science concepts will be helpful, but not mandatory, to use this book.

▶What this book covers
? Chapter 1, Installation and Setting up the Environment, teaches you how to install Jupyter on different environments, such as Windows, macOS, Linux, and a server machine.
? Chapter 2, Adding an Engine, shows you the steps to add these engines to your Jupyter installation so that you can script your Notebook in the language you like.
? Chapter 3, Accessing and Retrieving Data, teaches how to access and retrieve data from files in different formats in Jupyter.
? Chapter 4, Visualize Your Analytics, covers recipes for visualizing your analytics in Python, R, and Julia.
? Chapter 5, Working with Widgets, describes the wide range of possibilities of widgets in Jupyter.
? Chapter 6, Jupyter Dashboards, teaches how to install and enable Jupyter dashboards layout extension to your Notebook.
? Chapter 7, Sharing Your Code, shows you several methods for sharing your Notebook with others, including using different software packages and converting the Notebook into a different form for readers without access to Jupyter.
? Chapter 8, Multiuser Jupyter, explores several options for enabling Jupyter Notebooks as a multiuser platform.
? Chapter 9, Interacting with Big Data, covers the methods of accessing big data from Jupyter.
? Chapter 10, Jupyter Security, investigates the various security mechanisms available for your Jupyter Notebook.
? Chapter 11, Jupyter Labs, lets us try new features of Jupyter in a lab environment to create our own sample Notebook.

목차

▶TABLE of CONTENTS
1: INSTALLATION AND SETTING UP THE ENVIRONMENT
2: ADDING AN ENGINE
3: ACCESSING AND RETRIEVING DATA
4: VISUALIZING YOUR ANALYTICS
5: WORKING WITH WIDGETS
6: JUPYTER DASHBOARDS
7: SHARING YOUR CODE
8: MULTIUSER JUPYTER
9: INTERACTING WITH BIG DATA
10: JUPYTER SECURITY
11: JUPYTER LABS

책 속으로

▶What this book covers
？ Chapter 1, Installation and Setting up the Environment, teaches you how to install Jupyter on different environments, such as Windows, macOS, Linux, and a server machine.
？ Chapter 2, Adding an Engine, shows you the steps to add these engines to your Jupyter installation so that you can script your Notebook in the language you like.
？ Chapter 3, Accessing and Retrieving Data, teaches how to access and retrieve data from files in different formats in Jupyter.
？ Chapter 4, Visualize Your Analytics, covers recipes for visualizing your analytics in Python, R, and Julia.
？ Chapter 5, Working with Widgets, describes the wide range of possibilities of widgets in Jupyter.
？ Chapter 6, Jupyter Dashboards, teaches how to install and enable Jupyter dashboards layout extension to your Notebook.
？ Chapter 7, Sharing Your Code, shows you several methods for sharing your Notebook with others, including using different software packages and converting the Notebook into a different form for readers without access to Jupyter.
？ Chapter 8, Multiuser Jupyter, explores several options for enabling Jupyter Notebooks as a multiuser platform.
？ Chapter 9, Interacting with Big Data, covers the methods of accessing big data from Jupyter.
？ Chapter 10, Jupyter Security, investigates the various security mechanisms available for your Jupyter Notebook.
？ Chapter 11, Jupyter Labs, lets us try new features of Jupyter in a lab environment to create our own sample Notebook.

출판사 서평

▶Editorial Review
Jupyter has garnered 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, easyto-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 on your Jupyter Notebook, such as Python, R, Julia, JavaScript, Scala, and Spark. 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 JupyterLabs, 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.

작가정보

저자(글) Dan Toomey

？ Dan ToomeyDan Toomey has been developing applications for over 20 years. He has worked in a variety of industries and companies of all sizes, in roles from sole contributor to the VP/CTO level. For the last 10 years or so, he has been contracting to companies in the eastern Massachusetts area, under Dan Toomey Software Corp, again as a contractor developer in the area. Dan has also written a few books with Packt Publishing.