Conda for Building & Distributing Packages
Learn how to write Conda recipes and share them on Anaconda Cloud.
- 3 hours
- 0 Videos
- 28 Exercises
- 1,421 Participants
- 2,200 XP
Create Your Free Account
By pressing Continue you accept the Terms of Use and Privacy Policy. You also accept that you are aware that your data will be stored outside of the EU and that you are above the age of 16.
Loved by learners at thousands of top companies:
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.
-
1
Anaconda Project
FreeAnaconda 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.
-
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.
-
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.
-
1
Anaconda Project
FreeAnaconda 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.
What do other learners have to say?
“I've used other sites, but DataCamp's been the one that I've stuck with.”
Devon Edwards Joseph
Lloyd's Banking Group
“DataCamp is the top resource I recommend for learning data science.”
Louis Maiden
Harvard Business School
“DataCamp is by far my favorite website to learn from.”
Ronald Bowers
Decision Science Analytics @ USAA
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.
See More