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Source channel @devilsbelow · Post #413 · Dec 29

🌐Weekly News Digest [ December 22 – December 28 ] That was a week of delays, resumptions and terminations of resource projects. 💡Here are the key highlights: 🇨🇩 DR Congo - DRC bans processing units from accepting ore from artisanal miners 🇬🇦 Gabon - Gabon announces an audit of the mining sector 🇬🇭 Ghana - Ghana’s only oil refinery resumes operations after years of downtime 🇬🇼 Guinea - Guinea is planning its first mining conference 🇲🇼 Malawi - An Australian company delays its niobium project 🇲🇿 Mozambique - President and TotalEnergies clash over Cabo Delgado gas project schedule 🇳🇪 Niger - Niger’s exports exceed imports, driven by oil 🇳🇬 Nigeria - Nigeria to resume oil exploration in Ogoniland 🇸🇩 Sudan - China’s CNPC is seeking to terminate its oil contracts amid war #NewsDigest ➡️ Follow to stay informed - @devilsbelow

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djangoproject

@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

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djangoproject

@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.