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Source channel @githubtrending · Post #15422 · Jan 19

#c_lang TaskExplorer is a powerful Windows task manager that gives you deep insight into what your applications are doing in real-time. It displays process information in easy-to-use panels showing threads, memory, network connections, and system resources without cluttering your screen. You benefit from advanced diagnostic tools like stack traces for finding performance problems, memory editing capabilities, and detailed monitoring of disk operations and network activity. The streamlined interface lets you navigate quickly using arrow keys while watching live updates, making it ideal for troubleshooting software issues, optimizing system performance, and detecting problems that standard Task Manager cannot reveal. https://github.com/DavidXanatos/TaskExplorer

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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.