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python-ipykernel-4.2.1-1.lbn19.noarch

This package provides the IPython kernel for Jupyter.

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.

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.

python-ipython-gui-5.0.0-1.lbn19.noarch

This package contains the gui of ipython, which requires PyQt.

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.

python-ipywidgets-4.1.1-1.lbn19.noarch

Interactive HTML widgets for Jupyter notebooks and the IPython kernel.

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.

python-isstreamer-0.0.24-1.lbn19.noarch

A python module to simplify the process of getting log data to Initial State's platform Start Streaming! Review or copy the following example: import time from ISStreamer.Streamer import Streamer logger = Streamer(bucket="Stream Example", client_key="[Place Your Client Key Here]") logger.log("My Messages", "Stream Starting") for num in range(1, 20): time.sleep(0.1) logger.log("My Numbers", num) if num%2 == 0: logger.log("My Booleans", "false") else: logger.log("My Booleans", "true") if num%3 == 0: logger.log("My Events", "pop") if num%10 == 0: logger.log("My Messages", "Stream Half Done") logger.log("My Messages", "Stream Done") In this example, the logs will show up in Initial State under the name "Stream Example".

python-jinja2-2.8-5.lbn19.noarch

Jinja2 is a template engine written in pure Python. It provides a Django inspired non-XML syntax but supports inline expressions and an optional sandboxed environment. If you have any exposure to other text-based template languages, such as Smarty or Django, you should feel right at home with Jinja2. It's both designer and developer friendly by sticking to Python's principles and adding functionality useful for templating environments.

python-jupyter-1.0.0-1.lbn19.noarch

Install the Jupyter system, including the notebook, qtconsole, and the IPython kernel.