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  1. pypi.org › project › PyGeodesyPyGeodesy · PyPI

    28 cze 2024 · A pure Python implementation of geodesy tools for various ellipsoidal and spherical earth models using precision trigonometric, vector-based, exact, elliptic, iterative and approximate methods for geodetic (lat-/longitude), geocentric ( ECEF cartesian) and certain triaxial ellipsoidal coordinates.

    • PyInstaller

      Meta. License: GNU General Public License v2 (GPLv2)...

  2. pypi.org › project › trajectopytrajectopy · PyPI

    11 cze 2024 · This method matches two trajectories by finding the nearest pose in the target trajectory for each pose in the source trajectory. The distance between two poses is computed using the Euclidean distance between their positions. Nearest Temporal

  3. pypi.org › project › splinepysplinepy · PyPI

    28 cze 2024 · Project description. splinepy - Library for prototyping spline geometries of arbitrary dimensions and degrees, and IGA. Install guide. splinepy wheels are available for python3.8+ for MacOS, Linux, and Windows: # including all optional dependencies . pip install "splinepy[all]" # quotation marks required for some shells # or . pip install splinepy.

  4. 20 cze 2024 · The solution involves an R-Tree search for better processing time, however, I am doing the approximation of converting the coordinates into cartesian points, keeping in mind that I am not dealing with distances above 50-80 meters.

  5. 22 cze 2024 · WinPython is a free open-source portable distribution of the Python programming language for Windows 10/11(***) and scientific and educational usage. It is a full-featured (see our Wiki ) Python-based scientific environment:

  6. 5 dni temu · PROJ is a generic coordinate transformation software that transforms geospatial coordinates from one coordinate reference system (CRS) to another. This includes cartographic projections as well as geodetic transformations. PROJ is released under the X/MIT open source license.

  7. 28 cze 2024 · Learn how to use Python to calculate distances between zip codes accurately. A complete step-by-step guide for developers and data analysts.