hacking-datascience

SQLAlchemy — Python Tutorial

We often encounter data as Relational Databases. To work with them we generally would need to write raw SQL queries, pass them to the database engine and parse the returned results as a normal array of records.

Introduction to Probability and Statistics

Why Probability and Statistics?

hacking-pandas

Pandas is a powerful python package which makes importing, cleaning, analyzing, and exporting the data easier. In this story I’d like to write down some of the key functions which I found them useful.

hacking-numpy

The core python packages like pandas, scikit-learn are built on top of numpy, So in this story I’m going to list some key functions of numpy package which made my computations much easier/efficient.

Will keep on appending new stuff to the story.

Python hacks for data-science.

In this story I’ll show how some tasks can be made easier/efficient using few built-in python tools, I’m considering Python 3.6.5 in all my stories henceforth.