A lesser-known way to run multiple aggregations.
A simple and intuitive guide to Python scope and LEGB rule.
A lesser-talked difference between for-loop and list comprehension.
Two synchronization algorithms for intermediate-ML models.
A hidden Matplotlib hack waiting to be discovered.
Understanding the internal working of Pandas DataFrame.
A step towards building and using ML models reliably.
"ExTra" does not mean more.
But isn't well-separated data easiest to separate?
Understanding the utility of ‘-m’ flag in Python.
Commonly used Python command-line options in a single frame.
An intuitive and probabilistic guide to regularization.