TGINSIGHT SIMILAR POSTS
Source channel @yxvmcom · Post #21 · Nov 10
#Features 我们打开了一项新的功能，此功能目前处于测试阶段，我们将此功能命名为 AnyLAN，你可以使用它快速的建立内网，并且不消耗你的公网流量。 目前此功能分为2个场景： 1. 同节点内网 2. 不同节点内网（2个节点或以上） 我们这里提供一份简易的教程供大家参考：https://yxvm.com/index.php?rp=/knowledgebase/2/How-to-use-AnyLAN.html 需要开启此功能，你必须购买相应产品（目前免费） LAN (必须同节点持有2个以上VPS才可购买)： https://yxvm.com/cart.php?pid=44&promocode=DLCH0P1DN7 AnyLAN（必须俩个或以上节点持有VPS才可购买）：https://yxvm.com/cart.php?pid=45&promocode=83YHPHA6QG *LAN 限速500Mbps AnyLAN限速100Mbps
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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.