Interactive Course

Conda Essentials

Learn how to easily manage your software using conda.

3 hours
0 Videos
28 Exercises
13,432 Participants
2,100 XP

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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.

This chapter shows you how to install, update and remove packages using conda.

This chapter shows you how work with Conda environments.

In this chapter you will learn how to search and install packages from various channels with Conda.

This chapter shows you how to easily manage projects using environments.

1
Installing Packages
Free

This chapter shows you how to install, update and remove packages using conda.
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Utilizing Channels

In this chapter you will learn how to search and install packages from various channels with Conda.
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Working with Environments

This chapter shows you how work with Conda environments.
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Case Study on Using Environments

This chapter shows you how to easily manage projects using environments.
- Compatibility with different versions
  100 xp
- Updating a script
  100 xp
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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.

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Conda Essentials

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Course Description

Installing Packages

What are packages and why are they needed?

What version of conda do I have?

Install a conda package (I)

Install a conda package (II)

What is semantic versioning?

Which package version is installed?

Install a specific version of a package (I)

Install a specific version of a package (II)

Update a conda package

Remove a conda package

Search for available package versions?

Find dependencies for a package version?

Working with Environments

Environments and why are they needed?

Which environment am I using?

What packages are installed in an environment? (I)

What packages are installed in an environment? (II)

Switch between environments

Remove an environment

Create a new environment

Export an environment

Create an environment from a shared specification

Utilizing Channels

Channels and why are they needed?

Searching within channels

Searching across channels

Default, non-default, and special channels

Installing from a channel

Case Study on Using Environments

Compatibility with different versions

Updating a script