I started data science and immediately installed the wrong thing.
Here’s what nobody tells you — there are TWO options, not one.
Anaconda vs Miniconda:
Anaconda → 250+ libraries pre-installed. NumPy, Pandas, Jupyter — everything ready. (~3 GB)
Miniconda → Just Python + conda. You install what you need. (~400 MB)
The easiest way to think about it:
Anaconda = a fully stocked kitchen.
Miniconda = an empty kitchen — you buy only what each dish needs.
Which one should YOU install?
Just starting out → Anaconda. Zero setup friction.
More experienced → Miniconda. Full control.
I chose Anaconda. I’m learning from scratch — I wanted to focus on learning, not debugging setup.
Day 4 of documenting my data science journey. What did you install when you started?
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