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Source channel @githubtrending · Post #15238 · Oct 20
#rust#dataflow#rust#static_analysis#vscode Flowistry is a tool for Rust programming that helps you focus on the parts of code relevant to your current task by analyzing how data flows within functions. When you select a variable or expression, it fades out unrelated code, making it easier to understand complex functions and see what affects or is affected by that code. It works as a VSCode plugin and uses Rust’s ownership system to provide precise analysis. This helps you read, debug, and modify Rust code more efficiently by reducing distractions and highlighting important dependencies. However, it has some limitations with certain Rust features like interior mutability and nested functions. https://github.com/willcrichton/flowistry
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.