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python-krbV-1.0.90-6.fc19.x86_64: python-krbV allows python programs to use Kerberos 5 authentication and security.

python-kombu-3.0.35-1.lbn19.noarch: AMQP is the Advanced Message Queuing Protocol, an open standard protocol for message orientation, queuing, routing, reliability and security. One of the most popular implementations of AMQP is RabbitMQ. The aim of Kombu is to make messaging in Python as easy as possible by providing an idiomatic high-level interface for the AMQP protocol, and also provide proven and tested solutions to common messaging problems.

python-kitchen-1.1.1-4.fc19.noarch: kitchen includes functions to make gettext easier to use, handling unicode text easier (conversion with bytes, outputting xml, and calculating how many columns a string takes), and compatibility modules for writing code that uses python-2.7 modules but needs to run on python-2.3

python-kid-0.9.6-11.lbn19.noarch: Kid is a simple Python based template language for generating and transforming XML vocabularies. Templates are compiled to native Python byte-code and may be imported and used like normal Python modules.

python-keyring-5.0-1.lbn19.noarch: The Python keyring lib provides a easy way to access the system keyring service from python. It can be used in any application that needs safe password storage. The keyring services supported by the Python keyring lib: * **OSXKeychain**: supports the Keychain service in Mac OS X. * **KDEKWallet**: supports the KDE's Kwallet service. * **GnomeKeyring**: for GNOME environment. * **SecretServiceKeyring**: for newer GNOME and KDE environments. * **WinVaultKeyring**: supports the Windows Credential Vault Besides these native password storing services provided by operating systems. Python keyring lib also provides following build-in keyrings. * **Win32CryptoKeyring**: for Windows 2k+. * **CryptedFileKeyring**: a command line interface keyring base on PyCrypto. * **UncryptedFileKeyring**: a keyring which leaves passwords directly in file.

python-keyczar-0.71c-4.lbn19.noarch: Keyczar is an open source cryptographic toolkit designed to make it easier and safer for developers to use cryptography in their applications. Keyczar supports authentication and encryption with both symmetric and asymmetric keys.

python-kerberos-1.1-11.fc19.x86_64: This Python package is a high-level wrapper for Kerberos (GSSAPI) operations. The goal is to avoid having to build a module that wraps the entire Kerberos.framework, and instead offer a limited set of functions that do what is needed for client/serverKerberos authentication based on <http://www.ietf.org/rfc/rfc4559.txt>. Much of the C-code here is adapted from Apache's mod_auth_kerb-5.0rc7.

python-kerberos-1.1-11.fc19.armv6hl: This Python package is a high-level wrapper for Kerberos (GSSAPI) operations. The goal is to avoid having to build a module that wraps the entire Kerberos.framework, and instead offer a limited set of functions that do what is needed for client/serverKerberos authentication based on <http://www.ietf.org/rfc/rfc4559.txt>. Much of the C-code here is adapted from Apache's mod_auth_kerb-5.0rc7.

python-kegbot-pyutils-0.1.7-1.lbn19.noarch: Library of miscellaneous utilities used within Kegbot.

python-kegbot-api-0.1.14-1.lbn19.noarch: Kegbot API client library.

python-kegbot-0.9.21-1.lbn19.noarch: Kegbot is a hardware and software system to record and monitor access to a beer kegerator. For more information and documentation, see http://kegbot.org/ Keg and Tap Management: Add and configure taps, assign kegs to taps, track remaining volume on active kegs, and mark empty kegs as finished. Kegbot has been designed with multi-tap systems in mind; a single install can support as many taps as you have. Account System: Full username/password account system, supporting registration, login, and password recovery. Drinker Authentication: Drinkers can be given physical tokens, such as RFIDs, to authenticate to the server during a pour. Pour Authorization and Shutoff: Optionally, your system can require that the server authorize each pour, only allowing access (by opening a valve) after the drinker is approved. Stats and Charts: Comprehensive statistics are calculated and recorded at each pour, and the web interface draws colorful charts. Drinking Sessions: As each drink is recorded, Kegbot assigns it to a discrete “drinking session” along with nearby drinks, and the server displays these sessions at a stable URL. Did you throw a party? Share a single URL that shows all the people and activity from that session. Database Backend: All Kegbot data, from basic drink information to derived statistics and user accounts, gets stored in a database (MySQL, or any other database supported by Django). JSON API: You can build your own frontend or other client interface using the Kegbot API. Drinks, tap status, user information, and almost every other interesting object in Kegbot is exposed this way. The same API is used for recording drinks. Web Hooks: The server can notify an arbitrary URL whenever there is activity such as a pour or new keg. You can bridge Kegbot to external services this way. Image Support: Users can upload profile pictures, and photos can be attached to drinks (something the Kegtab Android App does automatically). Sound Support: Assign short mp3s to play during certain events, such as when a user taps his RFID or pours more than 16oz. It’s fun! Twitter, Facebook, Foursquare, and more: Kegbot has hooks for a growing number of external/social sites. Users can link their Twitter, Facebook, Foursquare, or Untappd accounts, and configure automatic posting for each drink poured (or just at the start of a new session). Beer Database: A built-in database lets tag kegs by brewer and beer type. You can add entries for commercial or homebrew beers.

python-jupyterhub-0.3.0-1.lbn19.noarch: JupyterHub is a multi-user server that manages and proxies multiple instances of the single-user IPython Jupyter notebook server. Three actors: multi-user Hub (tornado process) configurable http proxy (node-http-proxy) multiple single-user IPython notebook servers (Python/IPython/tornado) Basic principles: Hub spawns proxy Proxy forwards ~all requests to hub by default Hub handles login, and spawns single-user servers on demand Hub configures proxy to forward url prefixes to single-user servers

python-jupyter_client-4.1.1-1.lbn19.noarch: jupyter_client contains the reference implementation of the [Jupyter protocol][]. It also provides client and kernel management APIs for working with kernels. It also provides the jupyter kernelspec entrypoint for installing kernelspecs for use with Jupyter frontends.

python-jupyter-console-5.0.0-1.lbn19.noarch: An IPython-like terminal frontend for Jupyter kernels in any language.

python-jupyter-1.0.0-1.lbn19.noarch: Install the Jupyter system, including the notebook, qtconsole, and the IPython kernel.

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-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-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-ipywidgets-4.1.1-1.lbn19.noarch: Interactive HTML widgets for Jupyter notebooks and the IPython kernel.

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.

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