S , Programming , Coding , Algorithms , Python , programming puzzle , algorithmic puzzle , Merge sort , Quicksort , Divide and Conquer , Pivot-based portioning , In-place sorting , Recursive function , Recursive fibonacci , optimization , enumerative search , iterative search , backtracking search , bipartite graphs , Algorithms and Data Structures , Programming Languages Language English.
Do you like solving recreational puzzles but think programming is difficult or boring? In these videos, Prof. Devadas describes algorithmic puzzles that you will want to solve and whose solutions you will want to code!
All code examples use Python. Few introductory students want to program for programming's sake. Puzzles are real-world applications that are attention grabbing, intriguing, and easy to describe.
Each lesson starts with the description of a puzzle. After a failed attempt or two at solving the puzzle, the reader arrives at an Aha! The solution to the puzzle becomes the specification of the code to be written.
Puzzles are real-world applications that are attention grabbing, intriguing, and easy to describe. Each lesson starts with the description of a puzzle. After a failed attempt or two at solving the puzzle, the reader arrives at an Aha! The solution to the puzzle becomes the specification of the code to be written. Readers will thus know what the code is supposed to do before seeing the code itself. This represents a pedagogical philosophy that decouples understanding the functionality of the code from understanding programming language syntax and semantics.
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