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This is armv7hl, aarch64 and i486 packages for SRC library that is used as a dependency for DeadBeef Silica application. Please do not install it separately.

This is armv7hl, aarch64 and i486 packages for faad2 library that is used as a dependency for DeadBeef Silica application. Please do not install it separately.

PySDL2 is a wrapper around the SDL2 library and as such similar to the
discontinued PySDL project. In contrast to PySDL, it has no licensing
restrictions, nor does it rely on C code, but uses ctypes instead.
doc: https://pysdl2.readthedocs.io/

compiled for Python3.8 noarch rpm

Requires: SDL2
Recommends: python3-pyclip , SDL2_gfx , SDL2_ttf , SDL2_image , SDL2_mixer

python3-poppler: A Python binding to poppler-cpp
( https://github.com/cbrunet/python-poppler )
doc: https://cbrunet.net/python-poppler/

poppler
poppler-glib comes with integral Python bindings generated by the standard gobject introspection tools. Using PyGObject, you should be able to use the poppler-glib library directly from Python...
if you do not want to follow that way, python3-poppler may do the job.

Fancy clock for Sailfish OS. You can toggle the background by double-clicking on the clock dial and switch between different clock styles by swiping the screen left or right.

This app equivalent to Swiss Clock from the Jolla store except that this one has settings.

Source code: https://github.com/monich/harbour-swissclock

Numexpr is a numerical expression evaluator for NumPy. It is a C++
module. With it, expressions that operate on arrays (like "3*a+4*b")
can be accelerated and use less memory than doing the same
calculation in Python.

compiled for Python3.8 armv7hl aarch64 rpm

sha256sum filename:
ad2d6da6e67a3ca02dd78a67866a8571519aab1e360167b6eaf2fb5a2b237d14 python3-numexpr-2.8.4-0.armv7hl.rpm
a013463345d8312fb39f363f1385d1ff1a6ef6c225e8c239917700c8dedffa8d python3-numexpr-2.8.4-0.aarch64.rpm

python3-pandas - Python module for working with "relational" or "labeled" data

pandas is a Python package providing flexible and expressive data structures for working with "relational" or "labeled" data.
Documentation is located at http://pandas.pydata.org/pandas-docs/stable/ .

compiled for Python3.8 armv7hl aarch64 rpm

Requires: python3-python-dateutil , python3-numpy , python3-pytz