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My Python Development Environment, 2020 Edition

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Re: My Python Development Environment, 2020 Edition

#3

Post by whalesalad »

mlthoughts2018 wrote: post #2

This is so painful to see compared to using conda.

1. The author of this post helped to create the Django framework and runs a successful Python consultancy.

2. Conda is not used as much as you might think... it's really only used within the data science community.

Re: My Python Development Environment, 2020 Edition

#5

Post by dang »

mlthoughts2018 wrote: post #2

This is so painful to see compared to using conda.

Please don't break HN's guidelines by being snarky or putting down others' work in a shallow way. If you know more or have a different perspective to offer, try sharing some of what you know so we can all learn something!

Re: My Python Development Environment, 2020 Edition

#7

Post by tedivm »

mrfusion wrote: post #6

Why pipx vs just using pip?

With pipx when you install things they go into isolated environments. With pip you're just installing things globally.

This difference is important due to dependencies- if you have two different CLI tools you want to install but they have conflicting dependencies then pip is going to put at least one of them into an unusable state, while pipx will allow them to both coexist on the same system.

Re: My Python Development Environment, 2020 Edition

#8

Post by denhaus »

whalesalad wrote: post #3
mlthoughts2018 wrote: post #2

This is so painful to see compared to using conda.

1. The author of this post helped to create the Django framework and runs a successful Python consultancy. 2. Conda is not used as much as you might think... it's really only used within the data science community.

Being in the data science community myself, I prefer straight venv + pip to conda. It’s simpler for me to manage errors. I only use conda when I have to.

Re: My Python Development Environment, 2020 Edition

#10

Post by whalesalad »

denhaus wrote: post #8
whalesalad wrote: post #3

Earlier quoted context omitted.

1. The author of this post helped to create the Django framework and runs a successful Python consultancy. 2. Conda is not used as much as you might think... it's really only used within the data science community.

Being in the data science community myself, I prefer straight venv + pip to conda. It’s simpler for me to manage errors. I only use conda when I have to.

Yeah I don't know a single person who chooses to use conda.
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