Data Structures and Algorithms #

I am currently holding programming lectures that cover data structures and algorithms at various levels in my current role. My teaching experience spans from introducing fundamental concepts to undergraduate students to guiding doctoral colleagues with limited prior programming experience through more advanced topics.

“A highly effective method of learning is through the process of teaching others as sharing knowledge not only helps them but also deepens your own understanding of the subject” — Prof. Steve Brunton, University of Washington

The TeX presentations are available @ my Github page!

Reference Books #

• Automate the Boring Stuff with Python by Al Sweigart

• Think Python, 2nd Edition by Allen B. Downey

• Python for Everybody by Dr. Charles Severance

• Grokking Algorithms, 2nd Edition by Aditya Bhargava

• Grokking Deep Reinforcement Learning by Charles Isbell

Reference Courses and Tutorials #

• Cheatsheet on String Formatting

• Learn X in Y Minutes - Python

• Python Cheat Sheets by Eric Matthes

LC GitHub Repo #

Explore my solutions, implementations, and additional resources in my GitHub repository.