Counting Items in Python Using Counter (With Real Example)
In this video, we explore how to count occurrences of items in Python using both traditional looping and the collections.Counter class.
We start with a manual counting approach using loops and then move to Python’s optimized solution using Counter. Through a simple and practical dataset of fruits and colors, you will understand:
• How traditional frequency counting works
• What collections.Counter is and why it is used
• How Counter internally behaves like a dictionary
• Why Counter provides O(1) average lookup time
• How this concept is used in Machine Learning (Entropy, Information Gain)
This video is especially useful for:
Python beginners
Students preparing for interviews
Learners moving towards Machine Learning
Anyone confused about dictionaries, hashing, and lookup time
Code concepts covered:
for loop based counting
collections.Counter
Dictionary vs list lookup
Hash table fundamentals
Frequency tables (class counts)