It is used primarily in the Data Science world, but can be used for much, much more.įor a detailed breakdown, read the excellent post by Jake VanderPlas (Software Engineer, Google), Conda: Myths and Misconceptions Instructions 1. In short, conda is a very powerful package manager that excels at managing dependencies and offers an easy way to create and use virtual environments for your projects. (This post assumes you have already installed and used Git Bash previously) What is conda, and why would I want to use it?īefore we dive into the instructions, it’s important to understand a little about conda and how it differs from pip.

If you use and enjoy Git Bash and want to take advantage of the power of conda without switching terminals, follow the instructions below to get it up and running.

If you’re a Windows user following along with the Data Science or Computer Science career paths on Codecademy (or the Learn Python courses), you may have noticed the recommendation to use Git Bash for your terminal, and the instructions on installing Python via Miniconda, but the lack of guidance on using conda within the Git Bash terminal rather than CMD or Anaconda Prompt.

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