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python-imaging-sane-2.4.0-2.lbn19.armv6hl
This package contains the sane module for Python which provides access to various raster scanning devices such as flatbed scanners and digital cameras.
Located in LBN / … / Core Linux / BastionLinux 19
python-imaging-sane-2.4.0-2.lbn19.x86_64
This package contains the sane module for Python which provides access to various raster scanning devices such as flatbed scanners and digital cameras.
Located in LBN / … / Core Linux / BastionLinux 19
python-imgcreate-19.6-1.fc19.armv6hl
Python modules that can be used for building images for things like live image or appliances.
Located in LBN / … / Core Linux / BastionLinux 19
python-ipykernel-4.2.1-1.lbn19.noarch
This package provides the IPython kernel for Jupyter.
Located in LBN / … / Core Linux / BastionLinux 19
python-ipyparallel-4.1.0-1.lbn19.noarch
IPyParallel is IPython’s sophisticated and powerful architecture for parallel and distributed computing. This architecture abstracts out parallelism in a very general way, which enables IPython to support many different styles of parallelism including: Single program, multiple data (SPMD) parallelism. Multiple program, multiple data (MPMD) parallelism. Message passing using MPI. Task farming. Data parallel. Combinations of these approaches. Custom user defined approaches. Most importantly, IPython enables all types of parallel applications to be developed, executed, debugged and monitored interactively. Hence, the I in IPython. The following are some example usage cases for IPython: Quickly parallelize algorithms that are embarrassingly parallel using a number of simple approaches. Many simple things can be parallelized interactively in one or two lines of code. Steer traditional MPI applications on a supercomputer from an IPython session on your laptop. Analyze and visualize large datasets (that could be remote and/or distributed) interactively using IPython and tools like matplotlib/TVTK. Develop, test and debug new parallel algorithms (that may use MPI) interactively. Tie together multiple MPI jobs running on different systems into one giant distributed and parallel system. Start a parallel job on your cluster and then have a remote collaborator connect to it and pull back data into their local IPython session for plotting and analysis. Run a set of tasks on a set of CPUs using dynamic load balancing.
Located in LBN / … / Core Linux / BastionLinux 19
python-ipython-console-5.0.0-1.lbn19.noarch
IPython provides a replacement for the interactive Python interpreter with extra functionality. Main features: * Comprehensive object introspection. * Input history, persistent across sessions. * Caching of output results during a session with automatically generated references. * Readline based name completion. * Extensible system of 'magic' commands for controlling the environment and performing many tasks related either to IPython or the operating system. * Configuration system with easy switching between different setups (simpler than changing $PYTHONSTARTUP environment variables every time). * Session logging and reloading. * Extensible syntax processing for special purpose situations. * Access to the system shell with user-extensible alias system. * Easily embeddable in other Python programs. * Integrated access to the pdb debugger and the Python profiler. This package provides IPython for in a terminal.
Located in LBN / … / Core Linux / BastionLinux 19
python-ipython-gui-5.0.0-1.lbn19.noarch
This package contains the gui of ipython, which requires PyQt.
Located in LBN / … / Core Linux / BastionLinux 19
python-ipython-notebook-5.0.0-1.lbn19.noarch
IPython provides a replacement for the interactive Python interpreter with extra functionality. Main features: * Comprehensive object introspection. * Input history, persistent across sessions. * Caching of output results during a session with automatically generated references. * Readline based name completion. * Extensible system of 'magic' commands for controlling the environment and performing many tasks related either to IPython or the operating system. * Configuration system with easy switching between different setups (simpler than changing $PYTHONSTARTUP environment variables every time). * Session logging and reloading. * Extensible syntax processing for special purpose situations. * Access to the system shell with user-extensible alias system. * Easily embeddable in other Python programs. * Integrated access to the pdb debugger and the Python profiler. This package contains the ipython notebook.
Located in LBN / … / Core Linux / BastionLinux 19
python-ipywidgets-4.1.1-1.lbn19.noarch
Interactive HTML widgets for Jupyter notebooks and the IPython kernel.
Located in LBN / … / Core Linux / BastionLinux 19
python-isodate-0.5.4-2.lbn19.noarch
This module implements ISO 8601 date, time and duration parsing. The implementation follows ISO8601:2004 standard, and implements only date/time representations mentioned in the standard. If something is not mentioned there, then it is treated as non existent, and not as an allowed option. For instance, ISO8601:2004 never mentions 2 digit years. So, it is not intended by this module to support 2 digit years. (while it may still be valid as ISO date, because it is not explicitly forbidden.) Another example is, when no time zone information is given for a time, then it should be interpreted as local time, and not UTC. As this module maps ISO 8601 dates/times to standard Python data types, like date, time, datetime and timedelta, it is not possible to convert all possible ISO 8601 dates/times. For instance, dates before 0001-01-01 are not allowed by the Python date and datetime classes. Additionally fractional seconds are limited to microseconds. That means if the parser finds for instance nanoseconds it will round it to microseconds.
Located in LBN / … / Core Linux / BastionLinux 19

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