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Source channel @githubtrending · Post #15538 · Mar 3

#other The Agency offers 51 specialized AI agents across engineering, design, marketing, product, testing, and more, each with unique personalities, workflows, and code examples for tasks like building apps or running campaigns. Copy them to your Claude setup for instant use. This transforms your work by automating repetitive tasks, boosting efficiency by 30-50%, cutting errors and costs, and letting you scale projects fast without hiring—freeing time for creative, high-value goals. https://github.com/msitarzewski/agency-agents

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djangoproject

@djangoproject · Post #98 · 07/11/2016, 12:22 PM

https://docs.python.org/3/library/asyncio.html #asyncio #Asynchronous programming is more complex than classical “#sequential” programming: see the Develop with asyncio page which lists common traps and explains how to avoid them. Enable the debug mode during development to detect common issues.

djangoproject

@djangoproject · Post #153 · 09/03/2016, 08:20 PM

http://wla.berkeley.edu/~cs61a/fa11/lectures/streams.html In this chapter, we continue our discussion of real-world applications by developing new tools to process #sequential#data. In Chapter 2, we introduced a sequence interface, implemented in Python by built-in data types such as #tuple and #list. #Sequences supported two operations: querying their length and accessing an element by index. In Chapter 3, we developed a user-defined implementations of the sequence interface, the Rlist class for representing recursive lists. These sequence types proved effective for representing and accessing a wide variety of sequential #datasets.