Different Ways Of Creating Python Environment In Data Science Projects- Conda,Virtualenv,Python

In this engaging tutorial, we delve into the diverse ways of creating and managing Python environments, a crucial skill for any aspiring or professional data scientist. We cover everything from the basics of setting up Python in different environments to advanced techniques tailored for data science projects.
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[medhasu_Ai]

This is one thing every coder needs to learn first, you know what exactly needs to be teach

[Pankaj_Khanal_Joshi]

Waiting for an Advance ML series with all necessary mathematics 2024

[Mon_isha]

Thank you so much...I was in trouble in creating it everytime

[emekaobiefuna]

Since I discovered Poetry, I haven't gone back to VENV / Pipenv. I now prefer using poetry for creating my virtual environment.

So I basically use Poetry & Conda to create virtual environment

[ishanagrawal]

Thanks Krish! Installed Anaconda but it doesn't show VS Studio. Installed VS Studio separately and trying with conda command by getting following error.

'conda' is not recognized as an internal or external command,
operable program or batch file.

[zishankhan]

You are awsone!!! everyday I learn something new from you, big fan.... love you man!

[saikiranpatnana]

Fallen in love ❤ with your teachings on data science sir, thank you so much sir🙏

[syedmohamad]

bhai deep learning kya padhai ma kasam maza a gya ek number

[the_princekrrazz]

Sir,
You have a great skill of teaching English as well as Hindi.
Big fan.

[akshatsrivastava]

Thank you sir for this, I had the same problem since you started using conda to create venvs.

[Garrick]

I was working with tensorflow and the code showed an error that module numpy has no attribute typeDict(). when I downgraded numpy it became uncompatile with tensorflow. Even chatgpt can't help me . Please help

[dineshbabuvaddineni]

Thanks you krish this is really helpful

[viewview]

Another useful video. Thank a lot Krish !!!

[sibaprasadchoudhury]

Thank you much sir, for your such kind of the teaching.

[argish]

Initially, I faced so many problems with venvs that I almost gave up on making them, mainly because every time I had issues with module versions and other stuff, I used to delete whole venv and rebuild them xD. That not only was a waste of data but also consumed a lot of time since I was on a low bandwidth wifi. it was frustrating. but eventually, I got the hang of it. only then I found that we can also use conda to make venv and it takes less time coz apparently conda caches libraries on their first install and then after, unless there is an update, it won't download the library again and instead use the cached file. fml. but the good thing is that I mastered working on both these environments.

[greeshmapillai]

I tried creating by using conda environment i.e. the last step. But after closing the project if i wish to open it again, i am not able to as it says conda is not recognized

[salesforcetraininginmarath]

no activation deactivation stuff if env is created using Conda?

[Apex]

This is the most frustrating part; it's like u have a blunt pair of scissors to inaugurate the ribbon cutting process to code in VScode like creating environment and crap, which has been well explained here

[mitaliutekar]

Hi Krish, can you please also share some info on wsl for creating virtual environments along with enabling virtualisation on windows bios.

[yashinfinite]

Can you help us dealing with debugging path error in vs code