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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 #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.