Anaconda Environments - What you need to know.

If you're using Anaconda and python (they are a great choice for data science and data analysis applications), then you should be using environments. I explain why and how to use them in this video.
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[@maryahr601]

I just purchased the learning python on Udemy by you starting now and going well!

[@samibahig1702]

i have visited england when i was 12 years old, one of the best travel i have done in my whole life. my dream is to visit it again one day again. i discovered london, oxford, the tames, big ben, i was in an english family, what a great souvenir, i was like in a harry potter movie before even harry potter was wroten.... i like your town too. my best greetings too all england. cheers

[@_matis_]

lol,are you me?

[@maximk7816]

ok, What if I created an environment and installed some module let's say sklearn.. and after that I create an another environment where I also need sklearn and I install it again. Does it take additional space on hard drive?

[@fastrockstar1705]

In a nutshell: Yes the package gets installed for each environment separately.

[@_matis_]

Thank you for this,this was really really helpful.Can you make a video about packages,libraries and modules (their differences) and what the difference is when you import something, when you import everything and when you write from x import y.This was always a bit confusing for me.

[@0x007A]

Anaconda and miniconda make working with Python for data science projects very easy.

[@pawlowski6132]

You mentioned that that's the simplest way to do it but, I use anaconda navigator which seems to be a great gooey for adding libraries creating new environments deleting old environments etc. Am I missing something by doing it that way instead of using the command line?

[@MrTecphdb]

Hey Giles, great vídeo, great subject

[@crazychill6263]

I FINALLY understood it!!! Thank you so much!!!😍😍😍😍😍😍😍

[@PeteHope]

I love that you're just taking a stroll through countryside! It looks very much like my own 'thinking office' ;)

[@galalump9405]

Very informative

[@lachupacabra6623]

Loved it, to the point, excellent vid.

[@mayursabale594]

Short and sweet.Well explained Sir🤓

[@wangxiao2841]

Thanks for the clear explannation!

[@cybersean3000]

ClearCase had similar functionality.

[@ikejimenez3836]

Thanks! Can you recommend some resources for a. Ore elaborate treatment of this topic?

[@Wilton24]

How do I fix a problem where when I pip install a package to a specific environment it says "Requirement already satisfied" ?

[@valda313]

I use virtualenv (venv) and pyenv instead of conda. Is there any specific reason why to switch to conda? Thanks!

[@BM-uf4pp]

conda has easier to remember commands and works across various languages (R and scala for example)

[@felwind14]

I like your positive language

[@FelipeCampelo0]

Why my _conda shell automatically stops running?

[@drz1]

This topic needs a lot more than 6 minutes and 3 command lines.

[@yosolonopuedo]

Agree

[@lachupacabra6623]

Nah not really imo

[@nickbelomatis7823]

Is there any reason why most Anaconda users created environments at the default location (C:\Users)? It is so strange that almost everybody does not mention that you can create an environment at different locations.

[@roman-fo2sk]

anaconda is a nice way to accumulate bloat on your system, i wouldn't use it if it isn't absolutely necessary

[@logan97327]

do i clone the root env every time i create a new one?

[@charizardking422]

Am I first? Cool

[@mansbjork5721]

Me finding this video after months of using the 'base' env for everything and eventually running into a problem...

[@basemhiwari3373]

I am second

[@aaliyahjaida1066]

Lovely 😍💋 💝💖❤️

[@azzavlup]

Am I the only one using direnv instead of conda?

[@darijozivkovic7931]

Anaconda is a such crappy software.