You're reading from Building Data Science Solutions with Anaconda

Product typeBook

Published inMay 2022

PublisherPackt

ISBN-139781800568785

Edition1st Edition

Tools

Anaconda

Concepts

Data Science

Author (1)

Dan Meador

Technical requirements

For this chapter, you will need to have the Anaconda distribution installed. This will come with conda, Navigator, and the most widely used tools for data science, including all the packages we will use later in the chapter.

You'll need to have a GitHub account set up before you begin. Head to https://github.com/join to do that.

You can find the code for this chapter and the rest of the book here: https://github.com/PacktPublishing/Building-Data-Science-Solutions-with-Anaconda/tree/main/Chapter02.

We'll also be writing and editing code. An integrated developer environment (IDE) of choice such as Visual Studio Code can be used but its suggested you use the very popular Jupyter Notebook for the tasks that we will be doing in this chapter. Jupyter is included in the Anaconda distribution.

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Building Data Science Solutions with Anaconda

Published in: May 2022Publisher: PacktISBN-13: 9781800568785

Author (1)

Dan Meador

Dan Meador is an Engineering Manager at Anaconda and is the creator of Conda as well as a champion of open source at Anaconda. With a history of engineering and client facing roles, he has the ability to jump into any position. He has a track record of delivering as a leader and a follower in companies from the Fortune 10 to startups.
Read more about Dan Meador

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