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python3-pandas+parquet-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in parquet extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+output-formatting-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in output-formatting extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+mysql-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in mysql extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+html-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in html extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+hdf5-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in hdf5 extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+gcp-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in gcp extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+fss-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in fss extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+feather-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in feather extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+excel-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in excel extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+consortium-standard-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in consortium-standard extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+computation-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in computation extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+compression-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in compression extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+clipboard-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in clipboard extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+aws-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in aws extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-pandas+all-2.2.3-1.lbn36.x86_64: This is a metapackage bringing in all extras requires for python3-pandas. It makes sure the dependencies are installed.

python3-nh3-0.2.17-1.lbn36.x86_64: nh3 Python bindings to the ammonia HTML sanitization library. Installation pip install nh3 Usage See the documentation. Performance A quick benchmark showing that nh3 is about 20 times faster than the deprecated bleach package. Measured on a MacBook Air (M2, 2022). Python 3.11.0 (main, Oct 25 2022, 16:25:24) [Clang 14.0.0 (clang-1400.0.29.102)] Type 'copyright', 'credits' or 'license' for more information IPython 8.9.0 -- An enhanced Interactive Python. Type '?' for help. In [1]: import requests In [2]: import bleach In [3]: import nh3 In [4]: html = requests.get("https:/www.google.com").text In [5]: %timeit bleach.clean(html) 2.85 ms ± 22.8 µs per loop (mean ± std. dev. of 7 runs, 100 loops each) In [6]: %timeit nh3.clean(html) 138 µs ± 860 ns per loop (mean ± std. dev. of 7 runs, 10,000 loops each) License This work is released under the MIT license. A copy of the license is provided in the LICENSE file.

python3-holidays-0.76-1.lbn36.noarch: python-holidays A fast, efficient Python library for generating country- and subdivision- (e.g. state or province) specific sets of government-designated holidays on the fly. It aims to make determining whether a specific date is a holiday as fast and flexible as possible.:PyPI: .. image::

python3-hashids-1.3.1-1.lbn36.noarch: A python port of the JavaScript hashids implementation. It generates YouTube-like hashes from one or many numbers. Use hashids when you do not want to expose your database ids to the user. Website: http:/www.hashids.org/ Compatibility hashids is tested with python 2.7 and 3.5–3.8. PyPy and PyPy 3 work as well. Compatibility with the JavaScript implementation hashids/JavaScript hashids/Python v0.1.x v0.8.x v0.3.x+ v1.0.2+ The JavaScript implementation produces different hashes in versions 0.1.x and 0.3.x. For compatibility with the older 0.1.x version install hashids 0.8.4 from pip, otherwise the newest hashids. Installation Install the module from PyPI, e. g. with pip: pip install hashids pip install hashids==0.8.4 # for compatibility with hashids.js 0.1.x Run the tests The tests are written with pytest. The pytest module has to be installed. python -m pytest Usage Import the constructor from the hashids module: from hashids import Hashids hashids = Hashids() Basic Us

python3-geopy-2.4.1-8.lbn36.noarch: geopy is a Python client for several popular geocoding web services. geopy makes it easy for Python developers to locate the coordinates of addresses, cities, countries, and landmarks across the globe using third-party geocoders and other data sources. geopy includes geocoder classes for the OpenStreetMap Nominatim, Google Geocoding API (V3), and many other geocoding services.

python3-geohash-0.8.5-1.lbn36.x86_64: * python-geohash python-geohash is a fast, accurate python geohashing library. ** History python-geohash 0.8 introduced uint64 representation. python-geohash 0.7.1 starts supporting python3k. python-geohash 0.3 can create C extension. If you want to use python-geohash without C extension, simply copy geohash.py into your system. geohash.py will work fine without C extension. **...

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