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Source channel @devilsbelow · Post #629 · Mar 9

🌐Weekly News Digest [ March 2 – March 8 ] That was a week when a wider Gulf war sent oil prices jumping, while Central Africa’s mineral struggle spilled into sanctions and landslides. 💡...And here are more key highlights: 🇨🇩 DR Congo — A landslide at the Rubaya mine leaves hundreds of people dead — A third Rubaya-area landslide in 38 days hits Gakombe after heavy rains 🇬🇭 Ghana — Ghana faces joint US-China pressure to drop a 5%-12% gold royalty scale 🇳🇪 Niger — Niger cancels three gold-refinery agreements after repeated alleged contract breaches 🇳🇬 Nigeria — Nigeria signs a $1.3bn alumina refinery pact with AFC — Ogoniland groups say oil restart must wait for cleanup and justice 🇷🇼 Rwanda — The US sanctions Rwanda’s army and four officers over support for M23 🇿🇦 South Africa — South Africa expands illegal-mining raids and lines up military support 🇿🇲 Zambia — Kasumbalesa bridge collapse cuts Congo’s main copper export route to southern ports 🇿🇼 Zimbabwe — A Zimbabwe court jails a Chinese mine supervisor five years over a gold panner’s killing 🌍 Global — Oil prices jump 12% as Gulf escalation triggers fuel-supply fears #NewsDigest ✈️ Stay informed - @devilsbelow

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djangoproject

@djangoproject · Post #316 · 04/28/2017, 06:09 AM

https://github.com/blissnd/easyxls Convert any #spreadsheet into a Python internal #dict/#array data structure, for easy processing. Can also handle pivot tables. For pivot table usage, header_row_start & header_col_start need to be set equal to the top left corner of the pivot table => header_row_start=8, header_col_start='c' in the included example. Column IDs must always be lowercase chars in quotes, e.g. 'a'.

djangoproject

@djangoproject · Post #129 · 08/31/2016, 03:36 PM

https://pypi.python.org/pypi/numpy #NumPy is a general-purpose #array-processing package designed to efficiently manipulate large #multi-dimensional arrays of arbitrary records without sacrificing too much speed for small multi-dimensional #arrays. NumPy is built on the #Numeric code base and adds features introduced by #numarray as well as an extended #C-API and the ability to create arrays of arbitrary type which also makes NumPy suitable for interfacing with general-purpose #data-base applications.