python3-cookidoo-api

Access Cookidoo recipes and content programmatically

This library provides tools to interact with the Cookidoo platform, allowing users to access a wide variety of recipes and related content programmatically. Through the use of network requests and data handling, it communicates with Cookidoo's servers, enabling the retrieval of recipe details, ingredient lists, and cooking instructions. Designed for integration with automation systems, it supports tasks such as fetching user-specific content and accessing recipe collections. The library utilizes asynchronous requests to efficiently manage data exchanges over the Internet, adapting to dynamic content updates and changes in user preferences. With the ability to access a repository of culinary information, users can enhance their cooking experience by exploring a diverse array of cooking ideas and techniques online. This interaction enriches culinary creativity by providing timely access to new and popular recipes.

python-ppl

Python interface to PPL -- Python 2

libwx-perl-datawalker-perl

Perl data structure browser

Wx::Perl::DataWalker implements a Wx::Frame subclass that shows a relatively simple Perl data structure browser. After opening such a frame and supplying it with a reference to an essentially arbitrary data structure, you can visually browse it by double-clicking references.

python-neutron-lib

Neutron shared routines and utilities - Python 2.7

Neutron provides an API to dynamically request and configure virtual networks. These networks connect "interfaces" from other OpenStack services (such as vNICs from Nova VMs). The Neutron API supports extensions to provide advanced network capabilities, including QoS, ACLs, and network monitoring.

pypy-tk

Tkinter module for PyPy (an alternative Python interpreter)

A module for writing portable GUI applications with PyPy using Tk. Also known as Tkinter.

python3-jupyter-sphinx

Jupyter Sphinx Extension - Python3

Jupyter-sphinx is a Sphinx extension that executes embedded code in a Jupyter kernel, and embeds outputs of that code in the document. It has support for rich output such as images, Latex math and even javascript widgets, and it allows one to enable thebelab for live code execution with minimal effort.