JupyterLab Quick Start Guide A beginner's guide to the next-gen, web-based interactive computing environment for data science
bGet to grips with the basics of JupyterLab and its web interface with the help of this quick start guide/b h4Key Features/h4 ulliManage JupyterLab kernels, code consoles, and terminals, and share your work over the cloud /li liOrganize your data solutions within JupyterLab /li liInstall and configu...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Packt Publishing Limited
2019
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| 245 | 1 | 0 | |a JupyterLab Quick Start Guide |b A beginner's guide to the next-gen, web-based interactive computing environment for data science |c Richman, Lindsay |
| 250 | |a 1 | ||
| 264 | 1 | |a Birmingham |b Packt Publishing Limited |c 2019 | |
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| 520 | |a bGet to grips with the basics of JupyterLab and its web interface with the help of this quick start guide/b h4Key Features/h4 ulliManage JupyterLab kernels, code consoles, and terminals, and share your work over the cloud /li liOrganize your data solutions within JupyterLab /li liInstall and configure extensions on JupyterLab using easy-to-follow examples/li/ul h4Book Description/h4 JupyterLab is a web-based interface and the natural evolution of Jupyter Notebook. This guide will take you through the core commands and functionalities of JupyterLab and help you enhance your JupyterLab productivity. Starting with the installation of JupyterLab, this book will give you an overview of its features and the variety of problems it solves. You'll see how you can work with external files inside the platform, and understand how to use the code console and terminal. This will help you have distinct control over the scripts you work with. | ||
| 520 | |a As you progress, you'll get to grips with the extensions available in JupyterLab, and gain insights into adding extensions to introduce new functionality in the interface. This book also covers widget operations within your document, different design patterns in JupyterLab, and the various methods for exchanging Notebooks. Additionally, you'll explore how to host JupyterLab Notebooks on GitHub. By the end of this Jupyter book, you'll have become well-versed with all the components of JupyterLab and be able to use it collaboratively within your data science teams. | ||
| 520 | |a h4What you will learn/h4 ulliInstall JupyterLab and work with Jupyter Notebooks /li liHost JupyterLab Notebooks on GitHub and access GitHub resources in your Notebooks /li liExplore different methods for exchanging Notebooks /li liDiscover ways in which multiple users can access the same Notebook /li liPublish your Notebooks with nbviewer and convert them into different formats /li liAttach and operate widgets within your Notebooks using a JupyterLab document /li liUse JupyterLab to work collaboratively with multiple data scientists in your teams/li/ul h4Who this book is for/h4 This book is for data scientists and data analysts who are new to JupyterLab as well as for existing Jupyter users who want to get acquainted with its impressive features. Although not necessary, basic knowledge of Python will be helpful | ||
| 650 | 4 | |a COMPUTERS / Data Modeling & | |
| 650 | 4 | |a Design | |
| 650 | 4 | |a COMPUTERS / Data Visualization | |
| 700 | 1 | |a Ferrari, Melissa |e Sonstige |4 oth | |
| 700 | 1 | |a Oladokun, Joseph |e Sonstige |4 oth | |
| 700 | 1 | |a Banfield, Wesley |e Sonstige |4 oth | |
| 912 | |a ZDB-5-WPSE | ||
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-032476825 | |
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| id | DE-604.BV047069799 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-24T08:35:34Z |
| institution | BVB |
| isbn | 9781789807561 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032476825 |
| oclc_num | 1227476662 |
| open_access_boolean | |
| physical | 1 Online-Ressource (160 Seiten) |
| psigel | ZDB-5-WPSE |
| publishDate | 2019 |
| publishDateSearch | 2019 |
| publishDateSort | 2019 |
| publisher | Packt Publishing Limited |
| record_format | marc |
| spelling | Richman, Lindsay Verfasser aut JupyterLab Quick Start Guide A beginner's guide to the next-gen, web-based interactive computing environment for data science Richman, Lindsay 1 Birmingham Packt Publishing Limited 2019 1 Online-Ressource (160 Seiten) txt rdacontent c rdamedia cr rdacarrier bGet to grips with the basics of JupyterLab and its web interface with the help of this quick start guide/b h4Key Features/h4 ulliManage JupyterLab kernels, code consoles, and terminals, and share your work over the cloud /li liOrganize your data solutions within JupyterLab /li liInstall and configure extensions on JupyterLab using easy-to-follow examples/li/ul h4Book Description/h4 JupyterLab is a web-based interface and the natural evolution of Jupyter Notebook. This guide will take you through the core commands and functionalities of JupyterLab and help you enhance your JupyterLab productivity. Starting with the installation of JupyterLab, this book will give you an overview of its features and the variety of problems it solves. You'll see how you can work with external files inside the platform, and understand how to use the code console and terminal. This will help you have distinct control over the scripts you work with. As you progress, you'll get to grips with the extensions available in JupyterLab, and gain insights into adding extensions to introduce new functionality in the interface. This book also covers widget operations within your document, different design patterns in JupyterLab, and the various methods for exchanging Notebooks. Additionally, you'll explore how to host JupyterLab Notebooks on GitHub. By the end of this Jupyter book, you'll have become well-versed with all the components of JupyterLab and be able to use it collaboratively within your data science teams. h4What you will learn/h4 ulliInstall JupyterLab and work with Jupyter Notebooks /li liHost JupyterLab Notebooks on GitHub and access GitHub resources in your Notebooks /li liExplore different methods for exchanging Notebooks /li liDiscover ways in which multiple users can access the same Notebook /li liPublish your Notebooks with nbviewer and convert them into different formats /li liAttach and operate widgets within your Notebooks using a JupyterLab document /li liUse JupyterLab to work collaboratively with multiple data scientists in your teams/li/ul h4Who this book is for/h4 This book is for data scientists and data analysts who are new to JupyterLab as well as for existing Jupyter users who want to get acquainted with its impressive features. Although not necessary, basic knowledge of Python will be helpful COMPUTERS / Data Modeling & Design COMPUTERS / Data Visualization Ferrari, Melissa Sonstige oth Oladokun, Joseph Sonstige oth Banfield, Wesley Sonstige oth |
| spellingShingle | Richman, Lindsay JupyterLab Quick Start Guide A beginner's guide to the next-gen, web-based interactive computing environment for data science COMPUTERS / Data Modeling & Design COMPUTERS / Data Visualization |
| title | JupyterLab Quick Start Guide A beginner's guide to the next-gen, web-based interactive computing environment for data science |
| title_auth | JupyterLab Quick Start Guide A beginner's guide to the next-gen, web-based interactive computing environment for data science |
| title_exact_search | JupyterLab Quick Start Guide A beginner's guide to the next-gen, web-based interactive computing environment for data science |
| title_full | JupyterLab Quick Start Guide A beginner's guide to the next-gen, web-based interactive computing environment for data science Richman, Lindsay |
| title_fullStr | JupyterLab Quick Start Guide A beginner's guide to the next-gen, web-based interactive computing environment for data science Richman, Lindsay |
| title_full_unstemmed | JupyterLab Quick Start Guide A beginner's guide to the next-gen, web-based interactive computing environment for data science Richman, Lindsay |
| title_short | JupyterLab Quick Start Guide |
| title_sort | jupyterlab quick start guide a beginner s guide to the next gen web based interactive computing environment for data science |
| title_sub | A beginner's guide to the next-gen, web-based interactive computing environment for data science |
| topic | COMPUTERS / Data Modeling & Design COMPUTERS / Data Visualization |
| topic_facet | COMPUTERS / Data Modeling & Design COMPUTERS / Data Visualization |
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