python-dispatch | Lightweight event handling for Python | Reactive Programming library
kandi X-RAY | python-dispatch Summary
kandi X-RAY | python-dispatch Summary
This is an implementation of the "Observer Pattern" with inspiration from the Kivy framework. Many of the features though are intentionally stripped down and more generalized. The goal is to have a simple drop-in library with no dependencies that stays out of the programmer's way.
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Top functions reviewed by kandi - BETA
- Setup Sphinx directive
- Emit an event
- Deepcopy the collection
- Emit changes to the parent observable
- Return a copy of the parent
- Set the current value of the observable
- Removes an item from the dict
- Emit a property on the object
- Update the list of objects
- Append an item to the list
- Build an observable
- Return True if the member can be documented
- Return True if the given member has the specified name
- Iterate over registered methods
- Iterate over all instances
- Add a method
- Returns the function vars for a method
- Clear the observable list
- Add a callback to the event loop
- Clears the contents of the observable
python-dispatch Key Features
python-dispatch Examples and Code Snippets
Community Discussions
Trending Discussions on python-dispatch
QUESTION
- I am relatively new to Python and Django.
I am parsing Excel sheets and want to store the data in a DB (MySQL). The information in which table the data is stored is available through the Excel sheet. I'd like to use a dispatch table to decide which Object is stored. The fields needed can vary.
I found something that I hoped would work, but unfortunately does not:
...ANSWER
Answered 2019-Apr-16 at 21:11You're calling the method which hi parameters and storing the result in the dict, rather than string the callable method itself. You should do:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install python-dispatch
You can use python-dispatch like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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