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Source channel @githubtrending · Post #14839 · Jun 18
#typescript#alibaba#low_code#lowcode Low-code platforms like LowCodeEngine help you build applications quickly without needing to write a lot of code. This means you can create and deploy apps faster, which is good for businesses because they can respond quickly to changing needs. Low-code platforms also make it easier to update apps and improve user experience. They provide tools and components that simplify development, allowing developers to focus on more complex tasks and innovations. This approach helps prevent technical debt and supports better decision-making by providing real-time data insights[1][3][4]. https://github.com/alibaba/lowcode-engine
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@djangoproject · Post #574 · 02/25/2018, 02:34 PM
http://www.paulbrownmagic.com/blog/python_partial_application Python Partial: Code Your Intention Of all the functional programming inspired features in Python, partial application must be the best kept secret that you really need to know. Partial application lets you create highly abstract functions and make them more specific for use, pass a function arguments without calling it yet, and so much more. #tuple#sort
@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.