Understanding how to approach programming problems and devise a solution is an essential skill for any Python developer. In this course, you’ll learn new concepts, patterns, and methods that will expand your coding abilities from programming expert, Peter Norvig.
Move along the path towards becoming an expert programmer! In this class you will practice going from a problem description to a solution, using a series of assignments. During office hours segments, Peter will also share his own personal tips and tricks for approaching programming problems - and his techniques may surprise you!
This course is intended for experienced Python programmers; students should be familiar with the Python syntax, as well as familiar with the following programming concepts: data structures, basic algorithms, and lambda functions.
This course is intended to challenge you. Be ready to struggle (and learn)!
Steps of the design process; Developing for clarity and generality; Arguments for program correctness; Experimentation and simulation.; Design tradeoffs; Simplicity and Clarity. Decomposition and composability.
Back of envelope calculations; When to use brute force and when to be clever; The Zebra puzzle; Generator expressions; Permutations and combinations. Cryptarithmetic; Recursive and wishful thinking; Longest palindrome substring algorithm.
Defining the language of regular expressions; Interpreting the language; Defining the set of strings matched by a regular expression; Other languages.
Search: finding your way with a flashlight or boat; pouring water. Analyzing the efficiency of an algorithm; Recurrence relations; Matching data types with algorithms.
Probability: the game of Pig; Maximizing expected utility to optimize strategy.
Managing complexity; Large sets of words; Appropriate data structures; Word games.
Interviews and Practice Exam