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Source channel @devilsbelow · Post #445 · Jan 13
🌐Weekly News Digest [ January 5 – January 11 ] That was the first full-fledged week of the new year of 2026, during which rulers forgave those who polluted their land, dismissed those who were managing their oil. 💡Here are the key highlights: 🇧🇼 Botswana — Botswana Invites Russia to Invest in Its Mining Sector 🇨🇩 DR Congo — Congolese clergy speaks against the US-DRC agreement. — The government allows processing units to accept ore from artisanal miners amid protests 🇬🇶 Equatorial Guinea — Equatorial Guinea moves its capital to a brand new city built on oil revenues 🇬🇭 Ghana — A Ghanaian prophet predicts the discovery of major onshore oil deposits in Ghana — Ghana hopes to keep its oil fields viable until 2040 🇲🇱 Mali — JNIM militants attack a gold mine in southeastern Mali 🇳🇪 Niger — Niger replaces its oil minister 🇳🇬 Nigeria — President reshuffles the country's oil sector management 🇸🇩 Sudan — Sudan’s central bank and Sudanese Mineral Resources Company set up a joint commission to curb illegal gold exports. 🇺🇬 Uganda — Uganda to start its first oil exports by October, despite environmental concerns 🇿🇲 Zambia — First report on the toxic pollution caused by a Chinese company designates 160 people as victims — Zambia is concerned over the safety of its workers in southern DRC #NewsDigest ➡️ Follow to stay informed - @devilsbelow
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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.