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This lesson is an introduction to Conda for (data) scientists. Conda is an open source package and environment management system that runs on Windows, macOS and Linux. Conda installs, runs, and updates packages and their dependencies. Conda easily creates, saves, loads, and switches between environments on your local computer. While Conda was created for Python programs it can package and distribute software for any languages such as R, Ruby, Lua, Scala, Java, JavaScript, C/ C++, FORTRAN. This lesson motivates the use of Conda as a development tool for building and sharing project specific software environments that facilitate reproducible (data) science workflows.

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Prerequisites

This is an intermediate lesson and assumes familiarity with the core materials covered in the [Software Carpentry Lessons] [swc-lessons]. In particular learners need to be familiar with material covered in The Unix Shell, Version Control with Git, and either Plotting and Programming in Python or R for Reproducible Scientific Analysis. {: .prereq}

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