Anaconda vs python fight video8/4/2023 For example, if you have a project on an older Python version, let’s say 3.4, but you want to experiment with the later features of 3.10, pyenv lets you switch between them. Like Conda, pyenv lets you manage multiple Python versions. The first tool I want to discuss is the one whose quirks led me to consider Conda in the first place, PyEnv. Next, we’ll go through a brief Conda tutorial that will teach you the basics of creating and using Conda environments. Although this article is heavily opinionated toward the “just use Conda” use case, I want to be as fair as possible to the alternative possibilities. In each section, we’ll give the pros and cons of the tool in contrast with Conda. To show you what I mean, we’ll first go over the tools mentioned - Pyenv, Venv, and Pip - to see how it compares to Conda. ![]() On the contrary, my experience with Conda has been that, on balance, Conda improves the work rather than degrades it. In that case, you might think that a monolithic “Swiss-army knife” tool like Conda may involve some unacceptable tradeoffs. You may be familiar with the Unix philosophy of having a collection of small tools that each do a single job well.
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