Have you ever struggled with generating unique and meaningful IDs in your Go applications? Look no further! In this blog post, we’ll explore the Go implementation of CCID concept, bringing you a feature-rich, efficient, and easy-to-use ID generator.
During my recent passing of the Pluralsight course on cloud technologies, I came across an intriguing fact that piqued my interest: although it may be hard to believe, pigeon-posting – the ancient method of delivering messages by releasing homing pigeons – still exists in some form in today’s digital age.
Unique identifiers (IDs) are critical elements in many applications and systems. They provide a way to distinguish between different entities and ensure data accuracy and consistency. However, generating unique IDs can be challenging due to several factors such as data complexity, scalability, and security concerns. In this article, we will explore the specific challenges that arise during the process of generating unique IDs and how they can be addressed.
I was always curious about Random Number Generator (RNG) implementation. The magic how from few numbers inside it generates long sequence “randomly” distributed numbers. I did few experiments on my ZX Spectrum with it limited performance. And this article I would like to share the fluky library.
A few years ago Gabriele Cirulli developed a sliding puzzle where the goal is to grow tiles and get up to 2048. My “Proj 2048” is about implementing several agents to play. Which should get tiles up to 4096 or maybe even 64536 (if it’s possible of course) 😉.