Eric Leijonmarck | Writing

A shift is happening in how we think about deployment platforms.

Exploring the intersection of math and romance, this post delves into the probabilities and assumptions behind finding a potential mate based on selected criteria.

A deep dive into the mathematical and technical aspects of legacy, material possession, and social impact.

A personal perspective on the rapid evolution and implications of AI and ML technologies.

Arbitrary code execution during compilation.

Rusty the bucket a performance benchmark for building pandas

A brief introduction to ownership in Rust.

Why merkle trees are becoming a everyday data structure that most engineers should know

A description of how to setup a project using yarn with typescript support from the beginning

A short but concise description of what side effects mean in software development

A tutorial on how to setup the correct credentials and service account for creation of sheets

Predicting a recession using simple metrics

Music Genre Classification using fastai and deploy on GCP

Going broad in a graph: Introduction to Breadth First Search

Simple tricks to go from nothing to prototype of app

Tricks for string manipulation handling

Data structures and algorithms - 2sum

Short introduction to why to learn algorithms

EchoServer send whatever you `$ curl localhost:4000` 'sent to it'.

How to calculate the Probability of an event occuring by also using the Z-score

Gradient descent is one of 'greatest hits' algorithms.

Any text-based entity or text-based column for upstarts or demos can be populated by generating mock data from a already learnt distribution or a encoding/decoding using textgen.

A neural network to play frappy bird with a genetic algorithm with different speeds and watch the progress.