Maximized Efficiency in Problem Solving Techniques in Python

Advanced Coding Interview Preparation with PythonMaximized Efficiency in Problem Solving Techniques in Python

This comprehensive course incorporates unique problem-solving approaches and analyzing techniques that extend beyond core programming. Topics include optimizing brute force methods, dealing with combinatorial problems, and utilizing heaps and sorted lists effectively.

Lessons and practices

Lesson 1: Estimating Algorithm Processing Time and Optimizing Brute-Force Solutions by Picking Optimal Variable for Brute Force

Finding a Pair with Target Sum Using Hashmap Optimization

Player Score Lookup Through ID Queries

Finding Pair Sums in Two Arrays

Lesson 2: Optimizing Range Query Solutions with Precalculation Techniques

Maximal Cumulative Sum in Array for Given Queries

Finding the Length of a Substring After Removing Certain Characters

Finding Divisors of the Closest Perfect Square

Lesson 3: Combinatorial Pair Analysis in Large Datasets

Counting Distinct Pairs with Absolute Difference More Than 10

Counting Pairs with Equal Values in an Array