How to Manage Conda Environments for Data Science

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In this video, I explain how to create, export, and load conda environments to make sure your data science code does not break.

Timestamps
00:00 Introduction
00:25 Create
01:56 Export
03:13 Load

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  1. Dave Ebbelaar
  2. data science
  3. machine learning
  4. anaconda python
  5. data science environment
  6. data science setup
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Комментарии
Автор

Hi everyone, if you want to follow along with this video, then make sure you have the Python extension installed in Visual Studio Code. That enables you to select environments like I show in the video.

daveebbelaar
Автор

Amazing trick with exporting an environment. Thanks for sharing this!

luciansala
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cant we use conda without anaconda ? i dont think we have to install anaconda, just miniconda is fine

ottorocket
Автор

Hi Dave, why don't you use poetry for dependeces management ?

Additionally, can you make a video about how to structure the code for DS projects (classes, pipelines, config, etc..)?

christopherzanoli
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Hi Dave, I just have to ask... are you recording your videos with the built-in camera on your Macbook? The video quality seems almost too good.

mgrm
Автор

First rule for a happy life: NEVER let Conda anywhere near your computer.

russ-mcbride