Blog Posts

As developers, we are always on the lookout for ways to optimize our code and make it run faster. One intriguing question that often arises is whether using fewer operators in conditional statements can actually impact the speed of Python code. In this blog post, we'll explore the nuances of Python conditionals and investigate whether simplicity in operators correlates with improved performance.

This blog post provides a detailed guide on solving the Knapsack Problem using dynamic programming in Python. The Knapsack Problem involves selecting a subset of items with given weights and values to maximize the total value while staying within a specified weight capacity. The dynamic programming approach breaks down the problem into subproblems and solves them in a bottom-up manner, leading to an efficient solution.

Finding subsets is a very common building block to solving difficult programming challenges. In this guide, we walk through how to find all the subsets of a set using bitwise algorithms.