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This project contains all training code relevant to the IOCCG, Copernicus 2025 Multi-sensor Ocean Colour (MSOC) course, coordinated by EUMETSAT in collaboration with NASA and ESA.

A Python-based quantum simulation platform. Runs ProjectQ quantum algorithms in Docker for fast, portable, and consistent testing.

Bioinformatics pipeline for LONELY gene family analysis across plant species

Jupyter Lab / Hub kernel using uv to manage one virtual environement per notebook, and stop duplicating pacakge installation

nbgrader_setup.py helps you create jupyter nbgrader courses locally from the information in canvas courses. canvas2nbgrader.py will fetch student submissions from Canvas and package them appropriately to your jupyter nbgrader project. After you have graded the student material nbgrader2canvas.py is used to upload grades and feedback to Canvas again.

Leonardus is an open source project. It is a minimalist, stack-based programming system designed as a flexible framework for implementing and exploring algorithms. The syntax and semantics of its scripting language, LeoScript, are inspired by PostScript and Forth. It is extended with a prototype-based, object-oriented paradigm, has seamless integration into JupyterLab and Docker, and provides a concise and expressive environment for learning and experimentation.

The project name is a nod to Leonardus Pisanus, who was named and became known as Fibonacci.

Consult the project's GitLab Pages for documentation.

Plática "Olvidate de Excel, bienvenido pandas" en Nerdearla México 2024 del 2024-11-07. https://nerdear.la/en/agenda/olvidate-de-excel-bienvenido-pandas/

This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.

This project focuses on extracting and visualizing stock data using Python libraries such as yfinance for historical stock prices and web scraping techniques to gather company revenue data. It provides a comprehensive analysis by plotting both stock prices and revenues over time for companies like Tesla and GameStop.

Study for implementing an automatic clave detection

Eclipse EASE Jupyter Kernels

Adding ecore, python, jupyter support to/from Netcdf/thredds unidata ucar geoscience libraries as eclipse plugins

CSE111 ZAD Sec-01 GroupProject: BookStore

Lorenzo Rottigni's Jupyter storage automatically synchronized with jupyterhub.rottigni.tech, ensuring versioned tracking of all changes.

School project. made a predicter for the next year app sales on google play.

Inspired by e.g. GitHub ClassRoom, Travo is a lightweight Python toolkit that helps you turn your favorite GitLab instance into a flexible assignment management solution. It does so by automating steps in the assignment workflow through Git and GitLab's REST API.

This work is focused on the prediction of customer departures in telecommunications through data analysis. Departures in telecommunications are a relatively common issue, and if potential customers were detected much earlier, their departure could be prevented in many cases. Our work's mission was to predict such customers' departures by using data analysis and by creating decision models. The eventual model will determine which customers are potentially risky and how big the risk is.