TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15193 · Oct 3
#kotlin#chrome#compose#compose_desktop#compose_multiplatform#desktop#desktop_app#download#download_manager#downloader#downloadmanager#firefox#kotlin#kotlin_multiplatform#linux#windows AB Download Manager is a free, open-source desktop app that helps you download files faster and more easily by splitting downloads into multiple parts, boosting speed up to 500%. It lets you organize downloads with queues and schedulers, so you can set downloads to run automatically at certain times. You can also control download speeds to avoid slowing your internet. It works on Windows, Linux, and Mac, and integrates with popular browsers through extensions. This tool makes managing many or large downloads simple, efficient, and customizable, saving you time and improving your download experience. https://github.com/amir1376/ab-download-manager
Search: #tuple
@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.