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Source channel @githubtrending · Post #15301 · Dec 4
#shell#bash#developers_everyday_life#java#option_parser#python#script#shell#show_busy_java_threads#show_duplicate_java_classes#terminal#useful_scripts This repository provides useful scripts for Java and Shell that make developer work easier and faster. The Java scripts help you quickly find CPU performance problems in running processes, detect duplicate classes in jar files, and search for specific classes across multiple jar files. The Shell scripts enhance command-line productivity with features like copying output to clipboard, colorizing file displays, deduplicating lines without sorting, and managing Docker containers more easily. The scripts are production-ready, used by major companies like Alibaba, and follow strict Bash standards for safety and reliability. You benefit by getting professional-grade tools that save time on routine tasks and learning best practices for writing quality shell scripts. https://github.com/oldratlee/useful-scripts
Search: #sequential
@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.
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@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.