JupyterLab Quick Start Guide A beginner's guide to the next-gen, web-based interactive computing environment for data science
Afbeeldingen
Artikel vergelijken
Auteur:
Lindsay Richman
Melissa Ferrari
- Engels
- Paperback
- 9781789805543
- 20 december 2019
- 160 pagina's
Samenvatting
Get to grips with the basics of JupyterLab and its web interface with the help of this quick start guide Key Features Manage JupyterLab kernels, code consoles, and terminals, and share your work over the cloud Organize your data solutions within JupyterLab Install and configure extensions on JupyterLab using easy-to-follow examples Book DescriptionJupyterLab 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. What you will learn Install JupyterLab and work with Jupyter Notebooks Host JupyterLab Notebooks on GitHub and access GitHub resources in your Notebooks Explore different methods for exchanging Notebooks Discover ways in which multiple users can access the same Notebook Publish your Notebooks with nbviewer and convert them into different formats Attach and operate widgets within your Notebooks using a JupyterLab document Use JupyterLab to work collaboratively with multiple data scientists in your teams Who this book is forThis 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.
Productspecificaties
Wij vonden geen specificaties voor jouw zoekopdracht '{SEARCH}'.
Inhoud
- Taal
- en
- Bindwijze
- Paperback
- Oorspronkelijke releasedatum
- 20 december 2019
- Aantal pagina's
- 160
- Illustraties
- Nee
Betrokkenen
- Hoofdauteur
- Lindsay Richman
- Tweede Auteur
- Melissa Ferrari
- Co Auteur
- Dan Toomey
- Hoofduitgeverij
- Packt Publishing Limited
Overige kenmerken
- Extra groot lettertype
- Nee
- Studieboek
- Nee
- Verpakking breedte
- 75 mm
- Verpakking hoogte
- 13 mm
- Verpakking lengte
- 93 mm
- Verpakkingsgewicht
- 304 g
EAN
- EAN
- 9781789805543
Je vindt dit artikel in
Kies gewenste uitvoering
Bindwijze
: Paperback
Prijsinformatie en bestellen
Rapporteer dit artikel
Je wilt melding doen van illegale inhoud over dit artikel:
- Ik wil melding doen als klant
- Ik wil melding doen als autoriteit of trusted flagger
- Ik wil melding doen als partner
- Ik wil melding doen als merkhouder
Geen klant, autoriteit, trusted flagger, merkhouder of partner? Gebruik dan onderstaande link om melding te doen.