TGINSIGHT SIMILAR POSTS
Source channel @devilsbelow · Post #526 · Feb 9
🌐Weekly News Digest [ February 2 – February 8 ] That was a week when we learned about what Epsteinhad to do with Africa's oil... 💡...and, there were other highlights: 🇦🇴 Angola — Opposition Group Declares Independence of Oil-Rich Enclave of Cabinda from Angola 🇧🇫 Burkina Faso — Burkina Faso Boasts of Record Gold Extraction 🇨🇩 DR Congo — DRC Government Releases Official Response to Rubaya Mine Collapse — US State-Backed Consortium Buys 40% Shares of Two Large Copper-Cobalt Mines From Swiss Company — US Virtus Minerals to Purchase Congolese Copper Producer Chemaf 🇬🇭 Ghana — Private Refinery Makes First Bars From Artisanal Gold Collected by State — French Troops Train Ghanaian Army to Fight Illegal Gold Miners 🇱🇷 Liberia — Ivanhoe Atlantic Appoints Team of US Nationals to Its Board to Facilitate Its Iron Project 🇳🇦 Namibia — Brazil’s Petrobras and France’s TotalEnergies Acquire 85% of Namibia's Oil Field 🇳🇬 Nigeria — Nigeria’s State Oil Corporation Faces Corruption Lawsuit from Local NGO — Nigerians Protest Against Rampimg Up Oil Production In Niger Delta — Nigerian Court Delivers Guilty Verdict Against UK 🇿🇲 Zambia — Delegation From Finland Arrives in Zambia 🌍 Global — US Creates Reserve of Critical Minerals for Civilian Industry #NewsDigest ➡️ Follow to stay informed - @devilsbelow
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@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'.
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@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.