Strings& Strings& Strings& Strings& Strings& Strings& Strings 字符串的七种写法 Swift Strings Seven Ways Flight School at @Swift PEK 2018 Ꭱ Ꭰ Ꮃ Ꮵ Ꮐ Ꮽ Ꮺ Ꮅ Ꮑ Ꮌ Ꭹ Ᏹ Ꮟ Ꮲ Ꭳ Ꮇ Ꮄ Ꭽ

slaying the Hydra Louis Chéron Oil painting, ca. 1690-1725 Victoria & Albert Museum, London, UK Seven-headed beast. Bicho de sete cabeças.Hercules slaying the Hydra Hercules slaying the Hydra Louis Commons. Seven-headed beast. Bicho de sete cabeças.Hercules slaying the Hydra Hercules slaying the Hydra Louis Chéron Oil painting, ca. 1690-1725 Victoria & Albert Museum, London, UK Seven-headed beast slaying the Hydra Louis Chéron Oil painting, ca. 1690-1725 Victoria & Albert Museum, London, UK Seven-headed beast. Bicho de sete cabeças.Não é um bicho de sete cabeças. Hercules slaying the Hydra

SIMD-style thinking to tackle some interesting problems • Intra-register sorting • Fast linear median-of-seven filter • Fast small-kernel convolution • Faster (?) UTF-8 to UTF-32 conversion (with AVX2) • No Filter? • If we can sort two lanes of eight, why not two lanes of seven? • With a fast sort, we could implement a fast median-of-seven linear filter • median: a value separating the higher half from the the lower half of a data sample • If I have an array a of seven integers, and they are sorted, the median is a[3] • Median filters are good at • Preserving edge features in a signal • Eliminating

Internet,’ said in 1999, ‘…they say a year in the Internet business is like a dog year – equivalent to seven years in a regular person's life.’ At the time, the pace of change catalyzed by the internet was unprecedented Trending = Unprecedented38 AI Developer Growth (NVIDIA Ecosystem as Proxy) = +6x to 6MM Developers Over Seven Years Number of Developers, MM 0 3 6 2005 2007 2009 2011 2013 2015 2017 2019 2021 2023 2025 ChatGPT App – 7/23-4/25, per Sensor Tower84 AI Retention (ChatGPT as Proxy) = 80% vs. 58% Over Twenty-Seven Months, per YipitData Note: Retention Rate = Percentage of users from the immediately preceding week

AI in the Enterprise Lessons from seven frontier companiesContents A new way to work 3 Executive summary 5 Seven lessons for enterprise AI adoption Start with evals 6 Embed AI into your products often—and your feedback shapes future products and models. 4 AI in the EnterpriseExecutive summary Seven lessons for enterprise AI adoption 01 Start with evals Use a systematic evaluation process to measure

derived instances of Eq and Ord are (==), (/=), compare, (<), (<=), (>), (>=), max, and min. The latter seven operators are defined so as to compare their arguments lexicographically with respect to the constructor -> [d] -> [e] -> [f] -> [g] -> [(a, b, c, d, e, f, g)] The zip7 function takes seven lists and returns a list of seven-tuples, analogous to zip. zipWith :: (a -> b -> c) -> [a] -> [b] -> [c] zipWith [d] -> [e] -> [f] -> [g] -> [h] The zipWith7 function takes a function which combines seven elements, as well as seven lists and returns a list of their point-wise combination, analogous to zipWith. 200

Deflate, but doesn’t append a zlib header GZIP - based on the Deflate algorithm Highly configurable Seven classes - create instances with zlib.createName([options]); Gzip, Deflate and DeflateRaw are writeable detects the compression type and decompresses Convenience functions perform seven operations corresponding to the seven classes without streams deflate, deflateRaw, gzip, gunzip, inflate, inflateRaw

task, assuming we have seven handoffs, and that each of those resources is busy ninety percent of the time, the tasks would spend in queue a total of nine hours time the seven steps…” Change Control

Series([’six’, ’seven’, ’six’, ’seven’, ’six’], ....: index=[’a’, ’b’, ’c’, ’d’, ’e’]) In [79]: t = Series({’six’ : 6., ’seven’ : 7.}) In [80]: s Out[80]: a six b seven c six d seven e six In [81]: Python data analysis toolkit, Release 0.7.1 68 Chapter 6. Essential basic functionality CHAPTER SEVEN INDEXING AND SELECTING DATA The axis labeling information in pandas objects serves many purposes:

Series([’six’, ’seven’, ’six’, ’seven’, ’six’], ....: index=[’a’, ’b’, ’c’, ’d’, ’e’]) In [79]: t = Series({’six’ : 6., ’seven’ : 7.}) In [80]: s Out[80]: a six b seven c six d seven e six In [81]: Python data analysis toolkit, Release 0.7.2 68 Chapter 6. Essential basic functionality CHAPTER SEVEN INDEXING AND SELECTING DATA The axis labeling information in pandas objects serves many purposes: