You're reading from Azure Data Scientist Associate Certification Guide

Product typeBook

Published inDec 2021

Reading LevelBeginner

PublisherPackt

ISBN-139781800565005

Edition1st Edition

Languages

Python

Tools

Azure Functions

Concepts

Machine Learning

Authors (2):

Andreas Botsikas

Michael Hlobil

View More author details

Working in AzureML notebooks

AzureML Studio offers integration with a couple of code editors that allow you to edit notebooks and Python scripts. These editors are powered by the compute instance you provisioned in Chapter 4, Configuring the Workspace. If you have stopped that compute instance to save on costs, navigate to Manage | Compute and start it. From this view, you can open all third-party coding editors AzureML Studio integrates with, as shown in the following screenshot:

Figure 7.2 – List of third-party code editor experiences Azure Studio integrates with

The most widely known open source data science editors are Jupyter Notebook and its newer sibling, JupyterLab. You can open those editing environments by clicking on the respective links shown in the preceding screenshot. This will open a new browser tab, as shown in the following screenshot:

Figure 7.3 – JupyterLab and Jupyter editing experiences provided by the...

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Azure Data Scientist Associate Certification Guide

Published in: Dec 2021Publisher: PacktISBN-13: 9781800565005

Authors (2)

Andreas Botsikas

Andreas Botsikas is an experienced advisor working in the software industry. He has worked in the finance sector, leading highly efficient DevOps teams, and architecting and building high-volume transactional systems. He then traveled the world, building AI-infused solutions with a group of engineers and data scientists. Currently, he works as a trusted advisor for customers onboarding into Azure, de-risking and accelerating their cloud journey. He is a strong engineering professional with a Doctor of Philosophy (Ph.D.) in resource optimization with artificial intelligence from the National Technical University of Athens.
Read more about Andreas Botsikas

Michael Hlobil

Michael Hlobil is an experienced architect focused on quickly understanding customers' business needs, with over 25 years of experience in IT pitfalls and successful projects, and is dedicated to creating solutions based on the Microsoft Platform. He has an MBA in Computer Science and Economics (from the Technical University and the University of Vienna) and an MSc (from the ESBA) in Systemic Coaching. He was working on advanced analytics projects in the last decade, including massive parallel systems and Machine Learning systems. He enjoys working with customers and supporting the journey to the cloud.
Read more about Michael Hlobil

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