Python

A comprehensive repository of 100+ Jupyter Notebooks covering linear algebra topics, including matrix decompositions, Gaussian elimination, eigenvalues, SVD, and interactive Python/Julia examples for teaching and learning.

Check out our YouTube channel https://www.youtube.com/playlist?list=PLBDUlnmEqyXD_llq6wETUqRkJGRiu8wFU for tutorials and walkthroughs of these notebooks.

Visor de normativas Bolivianas. Previsualización automática: https://abogacion-fb41ea.gitlab.io/ Sitio oficial: https://normas-bolivia.rmgs.com.bo/

Qblox Scheduler is a Python module for writing quantum programs featuring a hybrid gate-pulse control model with explicit timing control.

3D LBP Library is a Python package written in Rust to provide efficient implementations of 3D Local Binary Pattern (3D LBP) and its variations. It's designed for robust texture analysis and feature extraction from volumetric data (e.g., Point Clouds) for computer vision and machine learning applications.

A python tool box for GPUMD simulations

A personal project to advance my career in data science as a whole.

FELiCS - The linear flow solver.

Developed at the Institute for Fluid Dynamics and Technical Acoustics at TU Berlin, FELiCS is an open-source simulation code designed for researchers and engineers tackling complex flow problems. Its finite element discretisation of the linearised flow governing equations enables accurate modeling of intricate geometries and diverse physical scenarios — from combustion dynamics to aerodynamic instabilities and water turbine flows and many more.

Versatile. Open. Research-Driven

FELiCS breaks away from the limitations of traditional linear finite-difference solvers, offering a modular, general-purpose tool trusted in over 30 scientific publications.

The Open Energy Tracker is an open data platform for monitoring and visualizing energy policy targets.

docs : https://app.readthedocs.org/projects/pydyna

Platform engineering and operations development collective hosted by SMUNZ. We build and operate digital infrastructure for SMUNZ-hosted collectives.

Hybrid cloud-edge ML system for predictive rain control with automated retraining, monitoring, and Raspberry Pi hardware actuation.

Jupyter notebook to pull data from the FPL website, specifically made for H2H Draft Leagues.

SETIER² (Capteurs et centrales d'acquisition low-tech pour les eaux résiduaires) est un projet de recherche open hardware Le projet SETIER² vise à démocratiser la surveillance de la quantité et qualité des eaux usées en développant des solutions de mesure accessibles, fiables et open source. SETIER² propose des alternatives DIY

Educational materials for learning about Python usage for Bioinformatics, developed by the Phyloinformatics Lab (phyloinformatics.com).

Provides biomedical plotting archetypes fully interoperable with the matplotlib API.

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!