TGINSIGHT SIMILAR POSTS
Source channel @CryptoM · Post #64607 · Apr 9
🚀 Wall Street Continues to Develop Bitcoin Products Despite Market Slump Wall Street remains active in creating Bitcoin-related financial products, even as the cryptocurrency trades significantly below its peak values. Bloomberg posted on X, highlighting the ongoing interest and investment in digital currency offerings by major financial institutions. Despite the current market downturn, these firms are betting on the long-term potential of Bitcoin and other cryptocurrencies. This trend underscores the persistent belief in the future of digital assets, as companies continue to innovate and expand their crypto-related portfolios. #WallStreet#Bitcoin#Cryptocurrency#DigitalAssets#FinancialProducts#Investment#CryptoMarket#MarketTrends#BTC
Search: #array
@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.