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▼a GBC024983
▼2 bnb
▼a 019669276
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▼a 1134855591
▼a 1155889837
▼a 1162780939
▼a 1789807565
▼q (electronic bk.)
▼a 9781789807561
▼q (electronic bk.)
▼a 2334757
▼b (N$T)
▼a (OCoLC)1133277681
▼z (OCoLC)1134855591
▼z (OCoLC)1155889837
▼z (OCoLC)1162780939
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▼b OverDrive, Inc.
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▼b eng
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▼d OCLCQ
▼d EBLCP
▼d TEFOD
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▼d OCLCF
▼d NJT
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▼d UKAHL
▼d UMI
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▼d 248023
▼a QA76.9.D343
▼a 006.312
▼2 23
▼a LINDSAY RICHMAN; MELISSA FERRARI; JOSEPH OLADOKUN
▼a JUPYTERLAB QUICK START GUIDE;A BEGINNER'S GUIDE TO THE NEXT-GEN, WEB-BASED INTERACTIVE COMPUTING ENVIRONMENT FOR DATA SCIENCE.
▼a [Place of publication not identified]:
▼b PACKT Publishing,
▼c 2019.
▼a 1 online resource.
▼a text
▼b txt
▼2 rdacontent
▼a computer
▼b c
▼2 rdamedia
▼a online resource
▼b cr
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▼a Includes bibliographical references.
▼a Chapter 1: Introducing JupyterLab -- Chapter 2: Exploring the JupyterLab Interface -- Chapter 3: Managing and Building Extensions -- Chapter 4: Data Exploration Within JupyterLab -- Chapter 5: Sharing and Presenting Your Work -- Using JupyterLab with Teams.
▼a Jupyterlab is a web-based data science interface and natural evolution of Jupyter Notebooks. This guide will take you through the core commands and functionalities of JupyterLab. You will learn to customize and enhance your JupyterLab productivity by installing additional extensions.
▼a Master record variable field(s) change: 050, 082, 650 - OCLC control number change
▼a Data mining.
▼a Electronic data processing.
▼a Science
▼x Data processing.
▼a Web services.
▼a Big data.
▼a Big data.
▼2 fast
▼0 (OCoLC)fst01892965
▼a Data mining.
▼2 fast
▼0 (OCoLC)fst00887946
▼a Electronic data processing.
▼2 fast
▼0 (OCoLC)fst00906956
▼a Science
▼x Data processing.
▼2 fast
▼0 (OCoLC)fst01108207
▼a Web services.
▼2 fast
▼0 (OCoLC)fst01173242
▼a Electronic books.
▼i Print version:
▼a Richman, Lindsay.
▼t JupyterLab Quick Start Guide : A Beginner's Guide to the Next-Gen, Web-based Interactive Computing Environment for Data Science.
▼d Birmingham : Packt Publishing, Limited, ©2019,
▼z 9781789805543
▼3 EBSCOhost
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2334757
▼a YBP Library Services
▼b YANK
▼n 301026664
▼a Askews and Holts Library Services
▼b ASKH
▼n BDZ0043881126
▼a ProQuest Ebook Central
▼b EBLB
▼n EBL6001760
▼a EBSCOhost
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▼a 강리원
▼a eBook
▼a 92
▼b N$T
| Data Type : | eBook |
|---|---|
| ISBN : | 1789807565 |
| ISBN : | 9781789807561 |
| Personal Author : | LINDSAY RICHMAN; MELISSA FERRARI; JOSEPH OLADOKUN |
| Title/Author : | JUPYTERLAB QUICK START GUIDE;A BEGINNER'S GUIDE TO THE NEXT-GEN, WEB-BASED INTERACTIVE COMPUTING ENVIRONMENT FOR DATA SCIENCE. |
| Imprint : | [Place of publication not identified]: PACKT Publishing, 2019. |
| Format : | 1 online resource. |
| Note : | Includes bibliographical references. |
| Content Note : | Chapter 1: Introducing JupyterLab -- Chapter 2: Exploring the JupyterLab Interface -- Chapter 3: Managing and Building Extensions -- Chapter 4: Data Exploration Within JupyterLab -- Chapter 5: Sharing and Presenting Your Work -- Using JupyterLab with Teams. |
| 요약 : | Jupyterlab is a web-based data science interface and natural evolution of Jupyter Notebooks. This guide will take you through the core commands and functionalities of JupyterLab. You will learn to customize and enhance your JupyterLab productivity by installing additional extensions. |
| General Subject Name : | Data mining. -- |
| General Subject Name : | Electronic data processing. -- |
| General Subject Name : | Science -- Data processing. -- |
| General Subject Name : | Web services. -- |
| General Subject Name : | Big data. -- |
| General Subject Name : | Big data. -- |
| General Subject Name : | Data mining. -- |
| General Subject Name : | Electronic data processing. -- |
| General Subject Name : | Science -- Data processing. -- |
| General Subject Name : | Web services. -- |
| 기타형태 저록 : | Print version: Richman, Lindsay. JupyterLab Quick Start Guide : A Beginner's Guide to the Next-Gen, Web-based Interactive Computing Environment for Data Science. Birmingham : Packt Publishing, Limited, ©2019, 9781789805543 |
| Language | English |
| URL : |
|---|
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