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Results 1 - 10 of 180 for Willson (0.45 sec)

  1. .mailmap

    GITHUB: emgee3 <******@****.***>
    GITHUB: EOT <******@****.***>
    GITHUB: fay-jai <willson******@****.***>
    GITHUB: felixrabe <******@****.***>
    GITHUB: FooBarWidget <******@****.***>
    GITHUB: FredericoC <******@****.***>
    GITHUB: Gaelan <******@****.***>
    GITHUB: graemian <******@****.***>
    GITHUB: gsuess <******@****.***>
    GITHUB: hwillson <******@****.***>
    GITHUB: icellan <******@****.***>
    Plain Text
    - Registered: 2022-10-12 22:11
    - Last Modified: 2019-12-13 12:05
    - 6.6K bytes
    - Viewed (0)
  2. company/facebook/IntegerToEnglishWords.java

        private final String[] TENS = { "", "Ten", "Twenty", "Thirty", "Forty", "Fifty", "Sixty", "Seventy", "Eighty", "Ninety" };
        private final String[] THOUSANDS = { "", "Thousand", "Million", "Billion" };
        
        public String numberToWords(int num) {
            if(num == 0) {
                return "Zero";
            }
            
            int i = 0;
            String words = "";
            
    Java
    - Registered: 2022-11-28 15:02
    - Last Modified: 2018-03-27 16:52
    - 1.6K bytes
    - Viewed (0)
  3. leetcode/string/IntegerToEnglishWords.java

        private final String[] TENS = { "", "Ten", "Twenty", "Thirty", "Forty", "Fifty", "Sixty", "Seventy", "Eighty", "Ninety" };
        private final String[] THOUSANDS = { "", "Thousand", "Million", "Billion" };
        
        public String numberToWords(int num) {
            if(num == 0) {
                return "Zero";
            }
            
            int i = 0;
            String words = "";
            
    Java
    - Registered: 2022-11-28 15:02
    - Last Modified: 2018-03-27 16:52
    - 1.6K bytes
    - Viewed (0)
  4. TODO/the-10-unique-ways-slack-hacked-growth-to-become-a-4-billion-company.md

      > * 原文作者:[Pavan Belagatti](https://blog.markgrowth.com/@pavanbelagatti)
      > * 译文出自:[掘金翻译计划](https://github.com/xitu/gold-miner)
    Plain Text
    - Registered: 2022-11-24 14:49
    - Last Modified: 2017-08-05 11:35
    - 14.2K bytes
    - Viewed (0)
  5. 通选课/A/地震概论/笔记.doc

    目前,地震资料解释基本上都采取人机联作解释方法。(地震资料人机联作解释工作的主要内容包括地震构造解释和地震地层学解释。) 软件系统大致可以分为三部分:解释程序、绘图程序和数据管理程序。 三维地震勘探和高分辨率地震勘探。 八、垂直地震剖面(VSP) 从VSP记录提取速度信息仅仅是VSP测量的目的之一。 九、折射波方法 确定近地表层的特征。 十、四维地震勘探 四维地震勘探是重复进行三维观测,第四维是时间。 Over two million people died in the earthquake in the 20th century. About 0.6 billion people live in the strong earthquake zone throughout the world. 讨论: 1地震报道:中日报道不同:历史文化原因 媒体报道目的 2地震预报3难点:研究困难重重。方法局限性。前景或许是死胡同 3日美中三国地震:日本:震得多了,所以体系完善。 美国:有钱+有先进技术,必然要用。 中国:总体措施比较合理,体系尚需完善。 精髓:普及地震教育、发动群众 4GPS和地震:全球定位系统(Global...
    MS Word
    - Registered: 2022-12-04 02:06
    - Last Modified: 2019-01-18 15:01
    - 15.5K bytes
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  6. TODO/million-requests-per-second-with-python.md

    > * 原文地址:[A million requests per second with Python](https://medium.freecodecamp.com/million-requests-per-second-with-python-95c137af319#.59n519vvy)
    * 原文作者:[Paweł Piotr Przeradowski](https://medium.freecodecamp.com/@squeaky_pl?source=post_header_lockup)
    * 译文出自:[掘金翻译计划](https://github.com/xitu/gold-miner)
    * 译者:[cdpath](https://github.com/cdpath)
    * 校对者:[Kangkang](https://github.com/xuxiaokang), [独步清风](https://github.com/dubuqingfeng)
    
    # 用 Python 实现每秒百万级请求
    
    Plain Text
    - Registered: 2022-12-01 14:49
    - Last Modified: 2017-02-26 11:14
    - 9.6K bytes
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  7. TODO/slack-s-2-8-billion-dollar-secret-sauce.md

    > * 原文链接 : [Slack’s $2.8 Billion Dollar Secret Sauce — Medium](https://medium.com/@awilkinson/slack-s-2-8-billion-dollar-secret-sauce-5c5ec7117908#.f792cmg9t)
    * 原文作者 : [Andrew Wilkinson](https://medium.com/@awilkinson)
    * 译文出自 : [掘金翻译计划](https://github.com/xitu/gold-miner)
    * 译者 : [张晓波](http://weibo.com/u/1897577113)
    * 校对者: [CaesarPan](https://github.com/CaesarPan)、[cdpath](https://github.com/cdpath)
    * 状态 :  完成
    
    # Slack 如此成功的秘诀
    
    Plain Text
    - Registered: 2022-11-24 14:49
    - Last Modified: 2022-05-04 13:51
    - 9.5K bytes
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  8. TODO/steve-jobs-in-1994-the-rolling-stone-interview-20110117.md

    product doesn't always win. For NeXT to succeed, it will have to go up against two powerhouses: Taligent, the new partnership of Apple and IBM, and Bill Gates and his $4 billion-a-year Microsoft steamroller. "Right now, it's a horse race between those three companies," says Esther Dyson, a Silicon Valley marketing guru. A recent $10 million deal with Sun Microsystems — the workstation company that was once NeXT's arch rival — has breathed new life into NeXT, but it is only one step in a very long journey....
    Plain Text
    - Registered: 2022-11-24 14:49
    - Last Modified: 2015-11-08 15:21
    - 34.1K bytes
    - Viewed (1)
  9. .bin/generate-environment-identifiers-dict.sh

    #!/usr/bin/env bash
    # Script to build a list of of environment identifiers based on sub domain names.
    ## References:
    # See https://blog.majestic.com/development/alexa-top-1-million-sites-retired-heres-majestic-million/
    # See https://github.com/danielmiessler/SecLists/issues/654
    # See https://github.com/danielmiessler/SecLists/pull/671
    ## Requires jq
    #
    # Add more top level domain in the expression below
    TLD_WANTED_EXPR="\.(lu|be)$"
    #
    Shell Script
    - Registered: 2022-12-04 14:35
    - Last Modified: 2021-11-26 11:14
    - 1.3K bytes
    - Viewed (0)
  10. project_euler/problem_074/sol1.py

    78 → 45360 → 871 → 45361 (→ 871)
    540 → 145 (→ 145)
    
    Starting with 69 produces a chain of five non-repeating terms, but the longest
    non-repeating chain with a starting number below one million is sixty terms.
    
    How many chains, with a starting number below one million, contain exactly sixty
    non-repeating terms?
    """
    
    
    DIGIT_FACTORIALS = {
        "0": 1,
        "1": 1,
        "2": 2,
        "3": 6,
        "4": 24,
        "5": 120,
    Python
    - Registered: 2022-12-01 19:18
    - Last Modified: 2022-11-15 13:55
    - 2.7K bytes
    - Viewed (0)
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