1 The Language of Algorithms
This chapter covers
- Introduction of the characters
- Understanding the basics of Algorithms
- Analyzing Algorithms
- Learning Fundamental & Technical concepts of algorithms
Algorithms over the years have been part of our lives in ways that we never anticipated. They are the fundamental blocks that drive the entire modern computing and now the AI ecosystem as well. All the apps we use and websites we visit and interact with, algorithms live at the core of it. We don’t realize it as a user.
The book focuses on the foundational algorithms that, as a developer or programmer, you would have to learn at some point in your software journey. Most readers here would know how to code with basics like loops, functions, and conditions, but algorithms are a bit deeper. The intention is to develop a strong intuitive understanding of algorithms that form the core of software. Ideas that quietly power the real systems regardless of the programming language or framework.
Why should we care about algorithms? Well, they impact performance, reliability, and scalability. The idea of a good algorithm in a system drives the business, user experience, and convenience. We will look at practical examples, implement an example, walk through edge cases, and understand tradeoffs, efficiency over simplicity, and where to use which.