Skip to main content

Suman Khanal has completed

Conda Essentials

Start course For Free
3 hours
2,100 XP
Statement of Accomplishment Badge

Loved by learners at thousands of companies

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.
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more
Try DataCamp for BusinessFor a bespoke solution book a demo.
  1. 1

    Installing Packages

    Free

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

    Play Chapter Now
    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.

    Play Chapter Now
    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.

    Play Chapter Now
    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.

    Play Chapter Now
    Compatibility with different versions
    100 xp
    Updating a script
    100 xp
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp library, with centralized reporting, assignments, projects and more

prerequisites

Introduction to Shell
Team Anaconda HeadshotTeam Anaconda

Data Science Training

See More

Join over 14 million learners and start Conda Essentials today!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.