Black Friday 2024: 25+ Ways to Save on Online Learning

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

DataCamp

Building and Distributing Packages with Conda

via DataCamp

Go to class Write review

Overview

Learn how to write Conda recipes and share them on Anaconda Cloud.

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.

Syllabus

Anaconda Project
-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.

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.

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.

Taught by

Team Anaconda

Reviews

Start your review of Building and Distributing Packages with Conda

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.