Starting Data Science journey with Python - What is the next step after lists?

Hi Surhan,

Plenty of good advice above, so a few small additions. Start using Git and GitHub early, even for tiny notebooks, since it builds a habit you will need on any team. Learn to read error tracebacks and debug calmly, because beginners spend a lot of time on errors and this skill pays off quickly. In Fabric, a Python notebook is a good fit for small files and pandas practice, and you can move to Spark notebooks once your data gets too big for one machine. Keep each exercise tiny, for example answer five questions about one CSV, and then repeat it with a different dataset so the patterns stick.

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