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Archives

The Linked Hashmap Blueprint

What happens when keys collide? In this deep dive, we explore how linked hashmaps resolve collisions, maintain efficiency, and dynamically adapt to growing data.

Promises in Python

What makes JavaScript Promises so powerful, and how can we replicate their magic in Python? Follow this journey from JavaScript’s then and catch to Python’s asyncio, and uncover the pros, cons, and alternative approaches along the way.

From Jekyll to Hugo

What makes a developer leave behind a well-loved tool for something new? Dive into the motivations, discoveries, and lessons learned in the shift from Jekyll to Hugo — and uncover the secrets to crafting a custom theme.

Understanding Skip lists

Could skipping through data be faster than balancing trees? Dive into the fascinating mechanics of skip lists, where probability shapes efficiency.

Refining Load Balancer

What lies beneath a scalable and efficient load balancer? Explore the transformative techniques that turn a basic implementation into a powerhouse of modularity and speed.

Building a Layer 7 Load Balancer

Behind every high-performing system lies a load balancer making invisible yet critical decisions—discover how these unsung heroes shape the digital world.

A guide to Neural Networks

Imagine teaching a machine to recognize patterns in the world just like you do. This guide takes you on a journey from basic neural networks to building your own, one step at a time.

Topic modeling with Gensim

Like unlocking hidden themes in a great novel, topic modeling unveils the unspoken threads in vast datasets. From scikit-learn’s reliable tools to gensim’s transformative power, join a journey into the art of teaching machines to understand text.

Shelter Animal Outcomes

How do you predict the life paths of cats and dogs in shelters? This journey takes you through Kaggle’s shelter animal outcomes competition, from feature engineering to parameter tuning, with lessons learned at every step.