Mathieu Carette
@MathieuCarette
Data scientist, mathematician, open-source zealot
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Real-time 3D modelling of the @foss4gbe conference building. Source code at github.com/rockestate/poi…
Our own @stefdegreef has fully covered the entire Belgian capital #Brussels by bike to create street-level imagery in 360° using one of our GoPro Hero Max's. All footage is available on @mapillary .com under the CC-BY-SA license. Massive applause👏👏👏 mapillary.com/app/user/Stefd…
Fresh from the oven: QGIS 3.26, STAC and COPC nicely working together! Join us today in a QGIS Open Day session from 13:00 UTC where we will discuss the latest news about point clouds and 3D! youtu.be/v-ZMRpk0mv8
PDAL 2.4.0 is released. It includes COPC.io read and write support, time queries in @tiledb, comment support in JSON pipelines, and embedded always-on LAZ support due to LASzip Apache relicensing. Release notes at github.com/PDAL/PDAL/rele…
The first release of GeoParquet is out! This is a new geospatial vector data (point, line, polygon) format that is built on Parquet, an awesome columnar-storage format. See github.com/opengeospatial… for more information and join the growing community! (1/4)
Thanks @tiledb for contributing PDAL's enhanced Python API. Thanks to this, you can now compose PDAL operations in Python instead of just passing JSON to PDAL. It should open up huge possibilities for people mixing point clouds with Python's ML machinery.
Thanks to @tiledb, @pointcloudpipe now has an enhanced Python API that support composition, meshio, streaming, and better numpy support. Grab the source from pypi.org/project/PDAL/ or wait for @condaforge to catch up its feedstock.
Cloud Optimized Point Cloud, or COPC, seeks to live in the same niche as COG does for raster data, which allows for single-file storage of a the most common container format with support for spatially accelerated incremental remote access. Read up on it at copc.io/DRAFT-SPEC.html
With support from @NumFOCUS and @GdalOrg's sponsors gdal.org/sponsors/index…, we took a big step yesterday in fixing things so the GDAL guy in France isn't in this spot all alone. lists.osgeo.org/pipermail/gdal…
Thanks to @tiledb, @pointcloudpipe now has an enhanced Python API that support composition, meshio, streaming, and better numpy support. Grab the source from pypi.org/project/PDAL/ or wait for @condaforge to catch up its feedstock.
We are often asked to comment on the differences between Dask and Vaex. We hope you will find this useful! vaex.io/blog/dask-vs-v… #Python #Vaex #Dask #DataScience
Next week Thursday, at the #DaskSummit2021, we're having a workshop on "Scaling geospatial vector data" with dask. Feel welcome to join! May 20, 11:00-13:00 UTC, see summit.dask.org/schedule/prese…
Join us for the #DaskSummit2021 online conference, May 19-21. The schedule is now live: summit.dask.org/schedule/
The program for #openbelgium21 is live 🚀🚀! Check out the line-up on 2021.openbelgium.be and register for FREE for your favorite sessions. #OpenKnowledge #OpenData
I just published "The templating system of nbconvert 6". Many thanks to @davidbrochart @maartenbreddels @codeseal, and all other contributors to this release! 🙏 blog.jupyter.org/the-templating…
Presented at @GeoPythonConf about the ongoing developments to improve spatial processing of vector data with PyGEOS and Shapely 2.0. Some nice improvements are coming! See slides at jorisvandenbossche.github.io/talks/2020_Geo…
Help us shape the future of @geopandas development. We're launching our first GeoPandas User Survey! forms.gle/ZYAbPeXURGvudY… It takes 5-10 minutes. After we close it in about a month, we will share the results with you. Thank you!
The Gentoo and Ubuntu of datascience: thinking about a source distribution based on mamba, quetz, boa and conda-packages, so users can recompile with custom compiler flags and use special build-features. I'll get a prototype of this into boa soon! wolfv.github.io/posts/2020/09/…
Yay! @pandas_dev officially added consistent missing data handling to its roadmap! 🎉 pandas.pydata.org/docs/dev/devel… If you'd like to see this sooner rather than later and want to help with making it actually happen (and not only words on a roadmap ;-)), don't hesitate to contact me
We just released @ApacheArrow 1.0.0, the first formally "stable columnar format" release with a move to SemVer for the libraries. We have a much improved website, too. Read more about what's new arrow.apache.org/blog/2020/07/2…
I've been prototyping a lightweight Sphinx extension that lets you add *interactive code cells to your docs*. It uses @mybinderteam under the hood. Give it a shot, I'd love to hear what people think! sphinx-thebelab.readthedocs.io
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