Jupyter for Data Science (notice n° 70072)

détails MARC
000 -LEADER
fixed length control field 03223cam a2200277zu 4500
003 - CONTROL NUMBER IDENTIFIER
control field FRCYB88855202
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250107225902.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250107s2017 fr | o|||||0|0|||eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781785880070
035 ## - SYSTEM CONTROL NUMBER
System control number FRCYB88855202
040 ## - CATALOGING SOURCE
Original cataloging agency FR-PaCSA
Language of cataloging en
Transcribing agency
Description conventions rda
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Toomey, Dan
245 01 - TITLE STATEMENT
Title Jupyter for Data Science
Statement of responsibility, etc. ['Toomey, Dan']
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Packt Publishing
Date of production, publication, distribution, manufacture, or copyright notice 2017
300 ## - PHYSICAL DESCRIPTION
Extent p.
336 ## - CONTENT TYPE
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type code c
Source rdamdedia
338 ## - CARRIER TYPE
Carrier type code c
Source rdacarrier
520 ## - SUMMARY, ETC.
Summary, etc. Your one-stop guide to building an efficient data science pipeline using JupyterAbout This BookGet the most out of your Jupyter notebook to complete the trickiest of tasks in Data ScienceLearn all the tasks in the data science pipeline—from data acquisition to visualization—and implement them using JupyterGet ahead of the curve by mastering all the applications of Jupyter for data science with this unique and intuitive guideWho This Book Is ForThis 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 LearnUnderstand why Jupyter notebooks are a perfect fit for your data science tasksPerform scientific computing and data analysis tasks with JupyterInterpret and explore different kinds of data visually with charts, histograms, and moreExtend SQL's capabilities with Jupyter notebooksCombine the power of R and Python 3 with Jupyter to create dynamic notebooksCreate interactive dashboards and dynamic presentationsMaster the best coding practices and deploy your Jupyter notebooks efficientlyIn DetailJupyter 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 approachThis 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.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Toomey, Dan
856 40 - ELECTRONIC LOCATION AND ACCESS
Access method Cyberlibris
Uniform Resource Identifier <a href="https://international.scholarvox.com/netsen/book/88855202">https://international.scholarvox.com/netsen/book/88855202</a>
Electronic format type text/html
Host name

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