Python

Quickie Dev #3: Improving your Python console prints

Because printing things in the console is not only for crude debugging!

Doing networked video ASCII art in Python

Today we’ll see how to send an ASCII art-styled webcam video stream over the network using Python!

Quickie Dev #2: Lists, sets, dicts, tuples… in Python

Because choosing the right data structure can save your program!

Bias in data (scientist) = bias in ML

Because data science is mainly about… data and data scientists, surprisingly 😉

Why do cheetahs have spots? / Pourquoi les guépards ont-ils des taches ?

In 1952, Alan Turing published an article called The Chemical Basis of Morphogenesis in which he offered an idea as to how reaction-diffusion equations could help explain various biological structures: the spacing of rows of alligator teeth, the spots on cheetahs, the position of leaves on some plants… Beside the article itself that is quite fascinating, it’s interesting to see that today, nearly 70 years later, there is still no scientific consensus on whether to accept or deny his theory.

3 Showcase Projects (Full-Stack)

Last Autumn, I graduated from Polytech Sorbonne – I’m now an engineer in Applied Mathematics and Computer Science, yay! 🙂 In parallel, for a few months now, I’ve also been a freelancer software full-stack developer. Thanks to this second activity, I get to meet a lot of people, to work on various projects and to keep on learning plenty of technologies I’m interested in!

Advent of Code

Lately, a friend of mine introduced me to Advent of Code, a project of online programming challenges by Eric Wastl. Since 2015, every year, he has been posting a series of programming puzzles all throughout December; this “Advent calendar of small programming puzzles for a variety of skill sets and skill levels” always revolves around a Christmas-themed storyline and offers you an opportunity to learn new algorithms, programming languages or various tips & tricks.

ScamDoc: now available as a browser extension!

Last year, I worked with Anthony Legros and Jean-Baptiste Boisseau on an AI to detect fraudulent emails or websites. This 2-month internship was a great opportunity to discover the world of online scams and to apply my skills in machine learning to a concrete problem: how can we use AI tools to identify email or website addresses that are scams?

My end-of-studies internship at LabGenius! (2)

Last week, I posted a first article about my internship at LabGenius, a London-based biotech startup. Today, let’s continue with a focus on the tools and various skills this experience helped me develop.

My end-of-studies internship at LabGenius! (1)

This year, I’m finishing my studies at Polytech Sorbonne. To end my formation in Applied Mathematics and Computer Science, I did a 6-month internship; between March and August, I had the chance to work in London at LabGenius.

A peek at multi-objective optimization

Multi-objective optimization (MOO) is a field of mathematics dedicated to finding solutions to optimization problems where we have two or more objectives to optimize at the same time, that are usually in concurrence. It can be applied to problems in many domains, be it finance, biology, logistics…

AI & Art with Cali Rezo (6): Conclusion & Final Notes

To end this series of articles on the AI & Art project I realized in collaboration with Cali Rezo, today I would like to give you some of my thoughts on this project and on AI in general, plus some info on the tools we used and on Cali’s upcoming events.