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

Pyralysis is a Python library for radio interferometry: visibility simulation, gridding, optimization-based image reconstruction, and analysis pipelines with Dask-friendly scaling, documented APIs, and optional cluster (SLURM) workflows. GPL-3.0.

The project is an interactive, living book dedicated to reconstructing Archimedes’ Measurement of a Circle (Circuli Dimensio) using the original geometric proportions. By employing SageMath for symbolic validation, alongside Python, Julia and Perl for high-precision numerical calculations using libraries for decimal and arbitrary-precision arithmetic, the project bypasses modern algebraic transformations and demonstrates the accuracy of ancient geometric concepts.

Beyond Archimedes' original derivations, the project bridges the gap to modern approaches for calculating π. It demonstrates how Archimedes' four determination equations can be translated into modern notation like a super-radical, a product formula and a summation formula. To achieve this, the four equations were systematically reduced to a single unified equation. This step opens the door to further developments and serves as the link between geometry and algebra.

Using a specialized mathematical gain function, the system creates a dynamic bridge between ancient geometry and modern infinite series such as those of Ramanujan and Chudnovsky or the π formula of Saha and Sinha. Particular emphasis is placed on this new π formula, as it is more than it appears at first glance. By precisely handling the λ parameter the optimized approach achieves absolute numerical stability in getting hundreds or more of error-free decimal places. It is demonstrated, among other things, that the maximum gain in decimal places is achieved when the chosen value of λ equals the maximum number of iterations.

A key highlight is that the derived concept based on Archimedes allows the fundamental re-examination of every existing approach. E.g. the equations found on Wikipedia have been consolidated into a single equation as well as the BPS algorithm can also be reduced to a single equation. Furthermore, the work of Snellius and Dörrie can also be incorporated into the geometry of Archimedes.

And much more!

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.

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.

Build a GPT language model from scratch in Python — attention, feed-forward blocks, normalisation and text generation, assembled step by step in a notebook.

Analysis of Kilter Board data, along with predictive models for V-grades based on holds and angle.

Analysis of Tension Board 2 data, along with predictive models for V-grades based on holds and angle.

Ad hoc queue simulation laboratory with 20- and 200-customer experiments, automated data generation, Google Sheets processing, and confidence interval analysis.

Practical tasks on Deep Learning (DL) and Neural Networks (NN). 🤖

AWS User Group Morelos 2026-05-27 Utilizando los servicios administrados de IA de AWS con Python y Boto3 https://www.meetup.com/aws-ug-morelos/events/314754990/

Simple ML Project using regression models and KMeans clustering to predict Y from A and B, classify results, and expose predictions through a FastAPI API.

Analisi della transizione energetica nell'UE27 (2000–2030) con Python, Power BI e Machine Learning. Tre indici sintetici originali (ITE, ICP, RGI) calcolati su dati Our World in Data e proiettati al 2030 tramite regressione lineare.

Progetto IFTS Data Analysis & AI - SIAM1838

Jupyter Notebook server proxied with Nginx in Ubuntu docker machine

AWS Student Community Day México 2026 Utilizando los servicios de IA de AWS con Python y Boto3 David Sol https://studentday.awscommunity.mx

Wellespring Project JupyterLab setup for local NLP (natural language processing) tools and tasks. Supports OFFLINE processing for maximum data security, privacy, and copyright/intellectual property protection.

La spécialité NSI (Numérique et Sciences Informatiques) au Lycée Clemenceau à Nantes.

Des cours de première NSI, essentiellement structurés sur des notebooks Jupyter.

Example notebooks to demo functionality of the Twi-XL API.

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.

Python Web Conference 2022 Let's Forget About Excel: Conda + Jupyter + Pandas to Leave Office Behind