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Source channel @olddriverGDstudy · Post #40 · Mar 17

秀哥语录: 开水烫鸡把,锻炼起来 123的兄弟,我给你们说个方法 蛮有效的,就是开水烫几把 你每天洗澡的时候,水温稍微调高一点点 比如平时40度,你就45 用淋浴头冲,冲龟头,每天冲个五分钟 正经点,靠,虽然开水烫几把名字不正经 但是真的有用 你快,是因为敏感,每天冲,可以降低敏感度 一边冲,一边两个指头按压捏,每天五分钟 养成习惯,慢慢就好了 到后期,你可以用毛巾,湿水 然后慢慢尝试那毛巾擦龟头,上下撸 什么时候毛巾擦龟头,你不抖了,就好了 慢慢来啊,过犹不及,慢慢锻炼,降低龟头敏感度 可以尝试下,多少有点用 另外就是心里调节了 不要老是想,不要在意长短 学会去享受,要自信,自我暗示,我是来爽的,不是来比赛的 心里 生理 双管齐下,从此告别123 #秀哥语录#语录

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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.