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You're reading from  Building Data Science Solutions with Anaconda

Product typeBook
Published inMay 2022
PublisherPackt
ISBN-139781800568785
Edition1st Edition
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Dan Meador
Dan Meador
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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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Learning how dependency resolution works

Dependencies are part of the fundamental pieces of software development and data science. Back in Chapter 1, Understanding the AI/ML Landscape, we gave an overview of dependencies by using a cooking example with things that you need to make a certain dish, and how those requirements can conflict with one another, resulting in a tricky situation. We could provide another food analogy, but let's give something that's a little more real to understand – why the alternative of not using anyone else's packages and libraries can be a challenge.

Let's take a look and see whether we can get by without any dependencies for building a simple web application where users can create accounts and pick their favorite movies so you can recommend ones they might like:

  1. First, you will need to get some form of authentication for your project. You will need to brush up on your security skills, such as seeding, hashing functions...
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Building Data Science Solutions with Anaconda
Published in: May 2022Publisher: PacktISBN-13: 9781800568785

Author (1)

author image
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