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Jupyter for Data Science (Paperback)
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Jupyter for Data Science (Paperback)
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Your one-stop guide to building an efficient data science pipeline
using Jupyter About This Book * Get the most out of your Jupyter
notebook to complete the trickiest of tasks in Data Science * Learn
all the tasks in the data science pipeline-from data acquisition to
visualization-and implement them using Jupyter * Get ahead of the
curve by mastering all the applications of Jupyter for data science
with this unique and intuitive guide Who This Book Is For This book
targets students and professionals who wish to master the use of
Jupyter to perform a variety of data science tasks. Some
programming experience with R or Python, and some basic
understanding of Jupyter, is all you need to get started with this
book. What You Will Learn * Understand why Jupyter notebooks are a
perfect fit for your data science tasks * Perform scientific
computing and data analysis tasks with Jupyter * Interpret and
explore different kinds of data visually with charts, histograms,
and more * Extend SQL's capabilities with Jupyter notebooks *
Combine the power of R and Python 3 with Jupyter to create dynamic
notebooks * Create interactive dashboards and dynamic presentations
* Master the best coding practices and deploy your Jupyter
notebooks efficiently In Detail Jupyter Notebook is a web-based
environment that enables interactive computing in notebook
documents. It allows you to create documents that contain live
code, equations, and visualizations. This book is a comprehensive
guide to getting started with data science using the popular
Jupyter notebook. If you are familiar with Jupyter notebook and
want to learn how to use its capabilities to perform various data
science tasks, this is the book for you! From data exploration to
visualization, this book will take you through every step of the
way in implementing an effective data science pipeline using
Jupyter. You will also see how you can utilize Jupyter's features
to share your documents and codes with your colleagues. The book
also explains how Python 3, R, and Julia can be integrated with
Jupyter for various data science tasks. By the end of this book,
you will comfortably leverage the power of Jupyter to perform
various tasks in data science successfully. Style and approach This
book is a perfect blend of concepts and practical examples, written
in a way that is very easy to understand and implement. It follows
a logical flow where you will be able to build on your
understanding of the different Jupyter features with every chapter.
General
Imprint: |
Packt Publishing Limited
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Country of origin: |
United Kingdom |
Release date: |
October 2017 |
Authors: |
Dan Toomey
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Dimensions: |
235 x 191 x 23mm (L x W x T) |
Format: |
Paperback
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Pages: |
242 |
ISBN-13: |
978-1-78588-007-0 |
Categories: |
Books >
Computing & IT >
Computer programming >
General
|
LSN: |
1-78588-007-1 |
Barcode: |
9781785880070 |
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