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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 #77 · 07/05/2016, 07:46 AM

https://docs.python.org/2/library/logging.html This module defines functions and classes which implement a flexible event logging system for applications and libraries. The key benefit of having the #logging_API provided by a standard library module is that all Python modules can participate in logging, so your application log can include your own messages integrated with messages from third-party modules. The module provides a lot of functionality and flexibility. If you are unfamiliar with #logging, the best way to get to grips with it is to see the tutorials (see the links on the right). The basic classes defined by the module, together with their functions, are listed below. #Loggers expose the interface that application code directly uses. Handlers send the log records (created by loggers) to the appropriate destination. Filters provide a finer grained facility for determining which log records to output. Formatters specify the layout of log records in the final output.