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CoreSci/README.md

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 Readers, validators and writers for open laboratory data standards (JCAMP-DX and mzML), built on synthetic data, with unit tests running in CI on Python 3.9 to 3.15
automation-workflow Reproducible workflow patterns: Docker environments, scheduled containerised jobs on Windows, Docker cleanup notes, API clients, PDF automation and a Raspberry Pi setup runbook
arduino-showcase Embedded prototyping: sensors, a multichannel voltage logger, intermediate-level concept units (state machines, analog input), 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
quality-engineering Testing as a discipline: functional, negative, boundary and OpenAPI contract tests for a small local API service, with a test plan and CI

Toolkit

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

Elsewhere

LinkedIn

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  1. lab-informatics lab-informatics Public

    Readers, validators and writers for open laboratory data standards (JCAMP-DX and mzML), built on synthetic data, with unit tests running in CI on Python 3.9 to 3.15.

    Python

  2. quality-engineering quality-engineering Public

    Testing as an engineering discipline: API test automation, contract tests from OpenAPI, risk-based test plans and traceability, run in CI.

    Python

  3. automation-workflow automation-workflow Public

    Reproducible workflow patterns: Docker environments, API clients, task scheduling, PDF automation and a Raspberry Pi runbook.

    Python

  4. data-science data-science Public

    Python notebooks and scripts for data analysis: machine learning, signal processing, finance, and learning-with-kids lessons.

    Jupyter Notebook

  5. arduino-showcase arduino-showcase Public

    Embedded prototyping: sensors, a multichannel voltage logger, intermediate-level concept units (state machines, analog input), and a bilingual learning-with-kids series.

    C++

  6. network-infrastructure network-infrastructure Public

    Network diagnostics toolkit, CLI references, and infrastructure fundamentals.

    Batchfile