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Building and Distributing Packages with Conda

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3 hours
2,200 XP
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Course Description

Now that you're proficient in many areas of data science with Python it's time to share your code and data with others. In this course you'll learn the fundamentals of sharing your data science assets. You'll learn how to leverage Anaconda Projects to package data, code, and conda environments into a single archive for other data scientists to run. You'll learn the basics of creating Python packages that provide importable modules. Finally, you'll learn how to write Conda recipes for your packages, build them, and share them on Anaconda Cloud.
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  1. 1

    Anaconda Project

    Free

    Anaconda Projects allow you to package code, data, and Conda environments for others to use easily. Starting with with simple data science applications you'll create Anaconda Project archives that enable reproducible data science.

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    What is an Anaconda Project?
    50 xp
    Install Anaconda-Project
    100 xp
    Prepare and run a project command
    100 xp
    Anaconda Project specification file
    50 xp
    Initialize a new project
    100 xp
    Anaconda Project commands
    50 xp
    Add packages and commands
    100 xp
    Locking package versions
    100 xp
    Sharing your project
    100 xp
  2. 2

    Python Packages

    In this chapter you'll learn how to transform your Python scipts into modules and packages. You'll learn how to use setuptools to specify important metadata like version numbers and licenses.

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    Python modules and packages
    50 xp
    Importing a module
    50 xp
    Modules and __name__
    50 xp
    Python package directory
    50 xp
    Importing a package
    50 xp
    The __init__.py file
    100 xp
    Create the installer script
    100 xp
    Licensing
    50 xp
    Version number
    100 xp
    Install the package
    100 xp
  3. 3

    Conda Packages

    Now that you have prepared your Python package using setuptools in this chapter you'll learn how to write a Conda recipe. Conda recipes describe the required Conda packages to build and run your package. You'll then build cross-platform packages and upload them to Anaconda Cloud.

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    Conda Packages
    50 xp
    Install Conda Build
    100 xp
    The Conda recipe meta.yaml
    50 xp
    Conda package dependencies
    50 xp
    Dependent package versions
    100 xp
    Build the Conda Package
    100 xp
    Install the conda package
    100 xp
    Python versions and architectures
    100 xp
    Upload the package
    100 xp
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GroupTraining 2 or more people?

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

prerequisites

Conda Essentials
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