Conda Essentials
Learn how to easily manage your software using conda.
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Course Description
Software is constantly evolving, so data scientists need a way to update the software they are using without breaking things that already work. Conda is an open source, cross-platform tool for managing packages and working environments for many different programming languages. This course explains how to use its core features to manage your software so that you and your colleagues can reproduce your working environments reliably with minimum effort.
- 1
Installing Packages
FreeThis chapter shows you how to install, update and remove packages using conda. - 2
Utilizing Channels
In this chapter you will learn how to search and install packages from various channels with Conda. - 4
Case Study on Using Environments
This chapter shows you how to easily manage projects using environments.
Prerequisites
Introduction to Shell
Team Anaconda
Data Science Training
This course was created in collaboration with Anaconda. With over 6 million users, the open source Anaconda Distribution is the fastest and easiest way to do Python data science and machine learning. It's the industry standard for developing, testing, and training on a single machine.
What do other learners have to say?
“I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.”
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Lloyds Banking Group
“DataCamp is the top resource I recommend for learning data science.”
Louis Maiden
Harvard Business School
“DataCamp is by far my favorite website to learn from.”
Ronald Bowers
Decision Science Analytics, USAA
Join over 8 million learners and start Conda Essentials today!
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