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Hello world! Welcome to my Github profile! 👋

I am Alexandre, a French IT student and a passionate software developer, currently specilized in web applications, data extraction and data flows management.

Want to learn a bit more ? Take a look at my website!

My main technical skill set 🧠

Programming languages

Python logo Typescript logo Rust logo Java logo
 

Web stack

React JS logo Vue JS logo Node JS logo Jest logo Prisma logo Scrapy logo Selenium logo
 

Databases

MySQL logo MongoDB logo Postgresql logo
 

CI/CD

Docker logo Gitlab logo Github logo Github action logo

Get in touch 🤝

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Alexandre Sparton's Projects

count-of-money icon count-of-money

Made in the context of our studies at Epitech Bordeaux, Count of Money is a web application allowing its users to visualize a personalized selection of cryptocurrencies prices history, and consult a personalized selection of the latest articles about cryptocurrencies

dark-javabyrinth icon dark-javabyrinth

Simple 2D video game build with Java and Javafx in the context of my studies

dedisclasik icon dedisclasik

Windows application developed using C# .NET & Winforms in the context of my studies.

divided-soul icon divided-soul

2D puzzle game in co-op developed during a game jam in about 12 hours.

folio icon folio

folio is a CLI tool built to manage portfolio projects on GitHub

my1010 icon my1010

Old pygame project made for school. The game is inspired by the quite famous game "1010!"

spartbooks icon spartbooks

Spartbooks is a mini-project built in the context of my studies using React.js and the Google Books API. It is a one page application where you can have an overview of different books of a specific author you can search for.

symfoseries icon symfoseries

School project built with PHP and Symfony, SymfoSeries is a website where you can have an account and consult series coming from IMDB, rate theme, add some episodes to your watch list...

towa icon towa

Academic project made during my first semester.

tsukuba-research icon tsukuba-research

The goal of this project is to compare the reliability of different 3-version machine learning (ML) models able to classify images of hand-written digits..

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