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50 Python Tricks Every Data Scientist Should Know
Professional | Marketing | Click-worthy | Inspirational
PART 1
I wasn’t always a “data scientist.”
Once, I was just a confused beginner staring at a blank Python file, praying it would somehow write itself.
“Just learn machine learning,” they said.
“It’s easy,” they said.
Spoiler: It wasn’t.
If you want to read it, here is the link:
👉 https://vigneshselvaraj.gumroad.com/l/next-gen-python-2025
It’s not just an ebook.
It’s my story — transformed into a roadmap.
➤ Next-Gen Python 2025 — Everything I wish I knew when I started
➤ Django Mastery — Build real-world apps that employers trust
But somewhere along the way — debugging a model at 3 A.M. with cold tea on my desk — I started collecting little Python tricks. Tiny shortcuts. Clever patterns. Things seniors casually typed while I smashed my keyboard in despair.
Those tricks changed everything.
This story is about the 50 most valuable Python tricks I discovered while transforming from a beginner into a data scientist who could ship real solutions.
