# @aartii.py on Instagram

- **Type:** Video
- **Original URL:** https://www.instagram.com/p/DWq0pq6DT_h
- **Gondola URL:** https://gondola.cc/posts/62680596-aartiipy-instagram
- **Thumbnail:** https://img.gondola.cc/tr:w-,h-,fo-auto/postThumbnails/82563e9762.jpg
- **Posted:** 2026-04-03T12:19:02.000+00:00
- **Account Owner:** Aarti Sinha (@aartii.py) — https://gondola.cc/aartii.py

## Caption

Update one Python package. Your entire other project breaks.

This is what happens when you skip conda environments.

A conda environment = an isolated box for each project.
Each one has its own Python version and packages.
They never interfere with each other.

The best analogy I found: aloo.
Shimla Aloo ≠ Kufri Sindhuri Aloo.
Same vegetable, different variety, different result.
Python 3.11 ≠ Python 3.8. Conda lets you control which one each project uses.

The 5 commands you need:
→ conda env list
→ conda create -n myenv python=3.11
→ conda activate myenv
→ conda install -c conda-forge numpy
→ conda deactivate

The one rule you cannot skip:
Always. Activate. First.
Install into the wrong environment and your project won’t find the package.

Day 5 of learning data science from scratch. Documenting everything so you don’t have to figure it out alone.

What part of conda confused you most? Drop it below.
#Conda
#CondaEnvironment
#Python
#DataScience
#LearnDataScience
Anaconda
aartii_py
DataScienceBeginners
WomenInTech

## Stats

- **Views:** 1,132
- **Likes:** 0
- **Shares:** 0
- **Comments:** 18

## Tags

learndatascience, condaenvironment, python, conda, datascience

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