We use it for both development and production purposes and we strongly believe that conda stands out from other alternatives like virtualenv, poetry, pyenv or pipenv. This post is about conda, the tool we use to install and manage Python and its libraries in our systems. This is the first post of the WhiteBox toolkit series, where we will tell you more about the tools we use in our everyday job, in high detail. ![]() ![]() There are two types of Data Scientists, those who took the time to master conda and those who don't (and cry at the corners because of that).
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