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Automate contact and company data extraction
Build lead generation pipelines that pull emails, phone numbers, and company details from directories, maps, social platforms. Full API access.
Generate leads at scale without building or maintaining scrapers. Use 10,000+ ready-made tools that handle authentication, pagination, and anti-bot protection. Pull data from business directories, social profiles, and public sources, then export to your CRM or database via API. Schedule recurring extractions, enrich existing datasets, and integrate with your workflows.
A Python library for geometric objects in 3 dimentions
...Vectors are sub-typed from numpy ndarray class.
Extensive unit tests are included. Test coverage exceeds 95%.
See documentation of the library internals in section Files ( https://sourceforge.net/projects/geometry3d/files/ ).
GDAL wheels for python and C/C++ projects (Linux only)
To use precompiled wheels:
1) go to releases (Files) and download tarball needed;
2) install it with command:
python3 -m pip install /path/to/wheel.whl
Or simply use URL in pip:
python3 -m pip install https://sourceforge.net/projects/gdal-wheels-for-linux/files/GDAL-3.1.4-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.whl/download
URL may be found under "View details" button (i)
To use GDAL in C/C++ project you need to link gdal lib AND all libs located at dir GDAL.libs (usually this folder resides inside python site-packages)
To compile your own wheels see information given at forefather project: https://github.com/youngpm/gdalmanylinux
Usually this is done via command `make wheels`
GDAL wheels for Windows are provided by Christoph Gohlke at https://www.lfd.uci.edu/~gohlke/pythonlibs/#gdal
Built with PROJ (proj.db is included), GEOS, EXPAT.
...
python2/3: compute polyfit (1D, 2D, N-D) without thirdparty libraries
...also can be used for least squares solution computation and for A=QR matrix decomposition.
Tested with python 2.7 and 3.4
Consider donating to this project: https://sourceforge.net/p/purepythonpolyfit/donation
For a Sample use, refer to the WIKI
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...Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition.
full installation and usage instructions given at
http://sourceforge.net/p/rnnl/wiki/Home/