Some Leadership Principles
1/ Disagree and commit
From The Trenches - The Code
Sometimes I take a few hours over the weekends or in the airports to try new things. I love technology and the randomness of the topics below is largely driven by my curiosity and the experiments I have done during these periods.
Latest posts
Heaven’s Hung in Black at Pride
I don’t know where to publish a poem I wrote after yesterday walking through the Pride celebrations in Munich while listening to WASP - Heaven’s Hung in Black. So I am putting it here.
Timeseries Analysis with PyTorch
PyTorch is a widely used machine learning library, has an beautiful pythonic syntax and, above all, runs extremely fast on my M1 MacBook with no hacking required to make it run. I write this post following the steps I made to learn the library, by roughly translating the Time series forecasting…
Timeseries Analysis in Python
This post is about statistical models for timeseries analysis in Python. We will cover the ARIMA model to a certain depth.
A Due Diligence Process For Engineering Capabilities
My process involves a series of steps, all meant to establish the maturity of the engineering organization. What I am looking for is a tight collaboration between business and engineering, business savviness of the engineering leaders and a general sense of trust, orientation to perform and an…
Simulated Annealing in Go
As Go is quickly becoming my favourite programming language, in this post we switch gears and implement an optimization algorithm - simulated annealing. We will solve the travelling salesman problem and, in the process, we will build a desktop app and a bare bones charting library.
First Steps In Go - WebSockets
These are my first steps in Go, this time learning how to extend my previous web service with WebSockets. The brower subscribes to changes to a set of products by sending one or more Subscribe or Unsubscribe JSON messages to the service, through a WebSocket connection. Each message contains a…
First Steps In Go - Web Services
These are my first steps in Go, this time learning how to build web services. The post touches handling requests, json serialization, middleware, logging, database access and concurrency. Websockets and templates will be covered in a future post.
First Steps In Go
My first steps in Go, largely based on the Golang tutorial and Internet side searches.
Programming Problems In C++
This post is a collection of several programming problems implemented in C++. It's good to keep the edge sharp by solving some algorithmic problems from time to time.
WebGL Fun
A post about computer graphics, for the web mostly, with JavaScript, WebGL, ThreeJS and shaders. A little bit of maths also.
3D From Scratch
This post is about implementing a 3D renderer from scratch, with no help from any graphics or maths library. It is implemented in pure JavaScript and it follows roughly the first half of the excellent tiny renderer tutorial.
Introduction to Cryptography (Part 3)
This is the third part of Introduction to Cryptography. The post covers the Java APIs that implement the same algorithms that we spoke about in the previous posts, symmetric and asymmetric encryption, as well as digital signatures. We also talk a little bit about password security and the principle…
Introduction to Cryptography (Part 2)
This is the second part of Introduction to Cryptography. The post covers symmetric encryption with cypher block chaining, the principles behind DES and AES, asymmetric encryption with RSA and a little bit on validating authenticity.
Introduction to Cryptography
A very brief introduction to cryptography.This post covers one-time pads, a little bit of random numbers and the Diffie-Hellman algorithm.
Reverse Engineering Expected Goals
In this post we are going to look again at the 2018-2019 Premier League season and try to reverse engineer bookmakers odds in order to obtain the expected goals for each match. Then, we are going to try to improve on these models and reduce our reliance on bookmakers odds. In the process, I will…
Stats Again
A summary of statistics notions not found anywhere else on this blog. The post touches among others: some descriptive statistics measures, hypothesis testing, goodness of fit, Lasso and Ridge regression.
Decision Trees
A short introduction to decision trees (CART). Decision trees are a supervised machine learning technique used for classification and regression problems. Since the launch of XGBoost, it has been the preferred way of tackling problems at machine learning competitions and not only, because of easy…
Streaming Architecture Using Apache Kafka And Redis
This post describes an architecture based on Apache Kafka and Redis that can be applied to building high performing, resilient streaming systems. It applies to near-realtime systems, where a stream of events needs to be processed and the results submitted to a large list of subscribers, each of…
Odds And Models
Experiments with sports prediction models. It starts from a multiplicative expected goals model, then it computes the odds for home draw away markets in two different ways, and then compare the performance of these odds to the bookmakers' odds.