Matthias Bussonnier | Open Sustainable Technology

Contributors: Matthias Bussonnier

Name: Matthias Bussonnier
Login: Carreau
Email: [email protected]
Description: PhD in (Bio)Physics, Core developer of @ipython and @jupyter, heavy Pythonista, mostly focusing on writing tools to move science forward.
Website: https://matthiasbussonnier.com/
Location: France
Company: @Quansight-Labs
Repositories count: 538
Last synced at: 2024-05-20T13:58:48.081Z
Total stars: 476
Followers: 1257
Following: 30
Funding Links:
https://github.com/sponsors/Carreau
OST Projects: 3
Languages: Python, Jupyter Notebook
Categories: Climate Change, Hydrosphere
Sub Categories: Climate Data Standards, Earth and Climate Modeling, Ocean and Hydrology Data Access
Topics: biodiversity, climate-change, macroecology, precision-agriculture, bleeding-edge, computer-algebra, modern, sympy, portfolio, resume, gsoc-22, jekyll, sphinx, artificial-neural-networks, automotive, battery, conference, conference-paper, cybersecurity, diagnostics, electric, electric-vehicles, engine, hybrid-application, motors, obd, paper, papers, sae, vehicles, ngff, ome, ome-zarr, zarr, arrays, compressed, ndimensional-arrays, imaging-tem, powder-diffraction, science-research, spectroscopy, transmission-electron-microscopy, x-ray-diffraction, x-ray-photoelectron-spectroscopy, x-ray-spectroscopy, parallel, astronomy, astrophysics, finite-element-analysis, geophysics, nuclear-engineering, javascript-parser, markdown-it, myst, myst-markdown, myst-parser, unifiedjs, closember, notebook, ipython, ipython-kernel, kernel, spec-0, spec-1, spec-4, repl, algorithms-and-data-structures, computer-science, data-structures, sports-programming, numerical-methods, adios, ecp, exascale, exascale-computing, hdf5, chemistry, chemoinformatics, compchem, computationalchemistry, deeplearning, medchem, medicinalchemistry, finite-element-methods, gmsh, octave, scilab, vtk, economics, history, pydata, mathematics, mesh, meshing, pypi, cloudflare, cloudflare-workers, conda, agroecology, integrated-weed-management, interdisciplinary, sustainable-cropping-systems, binder, personal, physics-analysis, physics-simulation, desktop-application, nteract, react-components, zeromq, bsd, terminal-emulators, vte, fish, iterm2, prompt, python-shell, windows-terminal, xonsh, bioinformatics, biology, amoroso, physics, quantitative, simone-amoroso, consulting, nonprofit, academic, computational-fluid-dynamics, kgml, knowledge-guided-machine-learning, multi-task-learning, transfer-learning, llvm, interactive, haskell, nbclassic, machie-learning, research, jupyterlab, jupyter-kernels, stata, gtk, qt, tk, wx, unit-testing, alignment, flexible, sphinx-doc, sphinx-theme, packaging, pip, complex-networks, graph-algorithms, graph-analysis, graph-generation, graph-theory, graph-visualization, syntax-highlighting, pypi-upload, python-wheel, wheel, cpython, cpython-extensions, cython, typechecker, typing, jinja, pallets, werkzeug, wsgi, jupyterlab-extension, animated-gif, dicom, imageio, scientific-formats, webcam-capture, ansi-colors, progress-bar, progress-bar-python, rich, tables, terminal-color, traceback, tracebacks-rich, tui, auto-complete, refactoring, static-analysis, type-inference, docstrings, distributed-computing, astropy, qt-console, sparse-arrays, sparse-data, sparse-matrices, sparse-matrix, flake8, flake8-extensions, flake8-plugin, linter-flake8, linter-plugin, naming-conventions, pep8, serde, kernels, spyder

Contributed Projects

xarray

An open source project and Python package that introduces labels in the form of dimensions, coordinates, and attributes on top of raw NumPy-like arrays, which allows for more intuitive, more concise, and less error-prone user experience.

dask netcdf numpy pandas python xarray