TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #14840 · Jun 19
#other This collection of Alfred workflows lets you automate many tasks on your Mac, like showing charger power, generating random images, fixing zoom issues, editing SVGs, converting CSS styles, managing Git projects, switching audio devices, and more. These workflows save you time by performing complex or repetitive actions with simple commands or shortcuts. For example, you can quickly clone Git repos, switch audio inputs, or convert timestamps without leaving your keyboard. Using these tools boosts your productivity by making your computer easier and faster to control, especially if you use Alfred’s Powerpack to integrate and customize workflows for your needs[1][2][5]. https://github.com/sunzsh/favoritesWorkflow4Alfred
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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.