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Etienne Laplante

LC-MS specialist with over two decades of hands-on mass spectrometry experience, and a self-taught programmer who builds tools to make lab data easier to trust and use.

This is where I keep personal projects, learning notes and experiments. Everything here uses public or synthetic data.

Repositories

Repository What's inside
data-science Python notebooks and scripts for data analysis: PCA from scratch, machine learning with scikit-learn, signal processing and public market data, plus a bilingual (French/English) learning-with-kids series in Python
lab-informatics Parsers for open laboratory data standards (JCAMP-DX), built on synthetic data
automation-workflow Reproducible workflow patterns: Docker environments, API clients, PDF automation and a Raspberry Pi setup runbook
arduino-showcase Embedded prototyping: sensors, a multichannel voltage logger, and a bilingual (French/English) learning-with-kids series in Arduino
network-infrastructure Practical network troubleshooting and infrastructure notes: a Windows diagnostics toolkit, CLI reference, networking fundamentals and a disk/storage guide

Toolkit

Python · Pandas · NumPy · SciPy · scikit-learn · TensorFlow · Jupyter · Docker · C/C++ · Arduino

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