Conda Essentials

Learn how to easily manage your software using conda.

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3 Hours28 Exercises21,813 Learners
2100 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.

  1. 1

    Installing Packages

    Free

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

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    What are packages and why are they needed?
    50 xp
    What version of conda do I have?
    100 xp
    Install a conda package (I)
    50 xp
    Install a conda package (II)
    100 xp
    What is semantic versioning?
    50 xp
    Which package version is installed?
    50 xp
    Install a specific version of a package (I)
    100 xp
    Install a specific version of a package (II)
    50 xp
    Update a conda package
    100 xp
    Remove a conda package
    100 xp
    Search for available package versions?
    100 xp
    Find dependencies for a package version?
    50 xp
  2. 2

    Utilizing Channels

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

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    Channels and why are they needed?
    50 xp
    Searching within channels
    50 xp
    Searching across channels
    50 xp
    Default, non-default, and special channels
    50 xp
    Installing from a channel
    100 xp
  3. 3

    Working with Environments

    This chapter shows you how work with Conda environments.

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    Environments and why are they needed?
    50 xp
    Which environment am I using?
    50 xp
    What packages are installed in an environment? (I)
    50 xp
    What packages are installed in an environment? (II)
    50 xp
    Switch between environments
    100 xp
    Remove an environment
    100 xp
    Create a new environment
    100 xp
    Export an environment
    100 xp
    Create an environment from a shared specification
    100 xp
  4. 4

    Case Study on Using Environments

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

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    Compatibility with different versions
    100 xp
    Updating a script
    100 xp

Prerequisites

Introduction to Shell
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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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