Conda
In plain terms
A package and environment manager for data science.
Going deeper
Conda manages packages and isolated environments across languages, handling complex binary dependencies common in scientific computing. It excels at non-Python libraries too.
Under the hood
Resolves system-level and binary dependencies (CUDA, MKL) that pip struggles with; popular in ML.
Examples
Data science, ML environments, NumPy/SciPy, Anaconda, GPU libraries.
Think of it like...
Like a lab manager who sets up complete, isolated workbenches with all the right equipment.