LINDSAY RICHMAN; MELISSA FERRARI; JOSEPH OLADOKUN
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자료유형 | E-BOOK |
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서명/저자사항 | JUPYTERLAB QUICK START GUIDE;A BEGINNER'S GUIDE TO THE NEXT-GEN, WEB-BASED INTERACTIVE COMPUTING ENVIRONMENT FOR DATA SCIENCE. |
개인저자 | LINDSAY RICHMAN; MELISSA FERRARI; JOSEPH OLADOKUN. |
발행사항 | [Place of publication not identified]: PACKT Publishing, 2019. |
형태사항 | 1 online resource. |
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 |
ISBN | 1789807565 9781789807561 |
서지주기 | Includes bibliographical references. |
내용주기 | 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. |
일반주제명 | Data mining. Electronic data processing. Science --Data processing. Web services. Big data. Big data. Data mining. Electronic data processing. Science --Data processing. Web services. |
언어 | 영어 |
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