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经典825篇英文IT文章及其网址推荐 (公号回复“英文IT文章”可下载PDF典藏版资料)
经典825篇英文IT文章及其网址推荐 (公号回复“英文IT文章”可下载PDF典藏版资料)
原创： 秦陇纪
数据简化DataSimp导读：A.2016年英文IT文章列表；B.640篇英文IT文章列表；C.数据简化DataSimp公众号。（文章列表里的标题文字带链接，按“ctrl+点击标题”可跳转浏览器，微信限制外链，请下载PDF使用链接）。如有错误或疏漏(包括原文错误)等，请联系沟通、指正，文末有作者微信、实名制群联系方式，欢迎留言、转发。
经典825篇英文IT文章及其网址推荐(12005字)目录
A 篇英文IT文章及其网址推荐 (3258字)
B经典640篇英文IT文章及其网址推荐 (7445字)
B数据简化DataSimp公众号 (1127字)
参考文献(118字)Appx(626字).数据简化DataSimp社区简介
A2016年185篇英文IT文章及其网址推荐(3258字)
篇英文IT文章（文字带链接“ctrl+点击”跳转）
文|秦陇纪，数据精简DataSimp首发，数据简化DataSimp Wed重发
1. 技术架构
1．Everyday Algorithms:Elevator Allocation电梯算法调度
2．Le Cloud Blog系统设计系列scalability入门
3．Airbnb Shares The Keys To Its Infrastructure Airbnb基础架构 进行中
4．Backendinfrastructure at SpotifySpotify架构
5．Jepsen: On theperils of network partitions网络分割技术系列
6．AComprehensive Guide to Building a Scalable Web App on Amazon Web Services在AWS上构建大型Web APP指南
7．How InstacartBuilt Its On-Demand Grocery Delivery Service Instacart背后的技术
8．Pinnability:Machine learning in the home feed Pinterest主页的机器学习 进行中
9．The Rise ofthe API-based SaaS API作为Saas兴起
10．5 AWS mistakesyou should avoid 5个该避免的AWS错误
11．The Art of theCommit提交的艺术进行中
12．StackOverflow: The ArchitectureStack Overflow2016最新架构探秘
13．ScalingKnowledge at Airbnb Airbnb的知识管理已翻
14．How UberThinks About Site Reliability Engineering Uber SRE怎么做
15．How BuzzFeedThinks About Data ScienceBuzzfeed数据科学的思考，进行中
16．basicinfrastructure patterns基础架构模式
17．DesigningSchemaless, Uber EngineeringUber无模式数据存储
18．DataArchitecture in an Anti-Fraud Architecture反欺诈系统的数据架构 进行中
19．The Epic Storyof Dropbox’s Exodus From the Amazon Cloud Empire长夜读|Dropbox 出走亚马逊云服务帝国的壮丽史诗
20．How Badoosaved one million dollars switching to PHP7升级PHP7省了百万美金
21．EngineersShouldn't Write ETL: A Guide to Building a High Functioning Data ScienceDepartment不要写ETL
22．Jeff Dean onLarge-Scale Deep Learning at Google已翻
23．Putting theSqueeze on Trip Data Uber技术
24．3 simplereasons why you need to learn Scala学习Scala的原因
25．P-values notquite considered harmful P值的作用
26．4 reasons whymicroservices resonate微模式
27．Object-orientedvs. functional programming面向对象还是面向函数
28．Why a patternlanguage for microservices?微模式的设计语言
2. 大数据之系列，Kafka，Samza［个人偏好］
1．Streamprocessing, Event sourcing, Reactive and making sense of it all流处理，事件源，响应式
2．Usinglogs to build a solid data infrastructure (or: why dual writes are a bad idea)使用日志作为可靠数据架构
3．BottledWater: Real-time integration of PostgreSQL and Kafka跟PostgreSQL，Kafka做实时集成
4．Real-timefull-text search with Luwak and Samza Luwak和Samza做实时全文检索
5．Turningthe database inside-out with Apache Samza Samza调优数据库
6．ApacheKafka, Samza, and the Unix Philosophy of Distributed Data Kafka，Samza和Unix的分布式数据设计哲学
7．Thevalue of Apache Kafka in Big Data ecosystem Kafka在大数据生态系统中的价值 已翻
8．DistributedConsensus Reloaded: Apache ZooKeeper and Replication in Apache Kafka分布式重载：kafka中的zookeeper和复制
9．PuttingApache Kafka To Use: A Practical Guide to Building a Stream Data Platform (Part1)使用Apache Kafka构建流式数据平台（1）
10．PuttingApache Kafka To Use: A Practical Guide to Building a Stream Data Platform (Part2)
11．AnnouncingKafka Connect: Building large-scale low-latency data pipelines Kafka连接：搭建大规模低延迟的数据管道
12．IntroducingKafka Streams: Stream Processing Made Simple Kafka数据流：让流处理更轻松
13．Buildinga high-throughput data science machine搭建高吞吐的数据科学机器
14．TheHadoop tipping point hadoop转折点
15．Democratizingbusiness analytics民主化商业分析
16．Whyyour next analytics project should be in procurement分析项目采购
17．Bestpractices for data lakes数据湖的最佳实践
18．Embeddabledata transformation for real-time streams实时流的数据处理
19．Data,technology, and the future of play数据，技术和未来游戏
20．Learningin higher dimensions在更高维度学习
21．Hadoopin the cloud云端的Hadoop
22．Approachingbig data from a business perspective
3. 招聘&面试
1．What ILearned from Blowing An Interview从一次失败的面试学到的东西
2．TheTrick Max Levchin Used to Hire the Best Engineers at PayPal Paypal CTO如何招聘最好工程师，完成
3．How toHire a Rock Star Engineer如何招聘顶级工程师
4．Myfavorite interview question我最喜欢的面试题
5．What-are-the-questions-that-can-be-asked-when-the-interviewer-asks-Any-questions还有什么问题要问
6．OnInterviewing Software Engineers怎么面试工程师
7．Acethe coding interview, every time攻克代码面试
8．HowStack Overflow Does Technical Interviews Stack Overflow怎么做技术面试
9．ThisIs How You Identify A-Players (In About 10 Minutes) During An Interview在面试10分钟内找到最好的人
10．StartupInterviewing is Fucked创业公司面试
11．How toHire怎么招聘
12．3 Tipsfor Onboarding New Hires Using Quip新人报道指南
13．FiringPeople如何开除
4. 管理&成长
1．How toget rich in tech, guaranteed.怎么通过技术变富
2．Failat Scale快速变化中的可靠性
3．When ILearned That Computers Have Soul 计算机有没有灵魂
4．#defineCTO定义CTO
5．Do theRight Thing做正确的事情
6．TheSurprising Secret to Being a Good Boss成为好老板的秘诀
7．TheHighest-Leverage Activities Aren't Always Deep Work影响力大的工作不一定有多深
8．TheSecret to Growing Your Engineering Career If You Don't Want to Manage不走管理路线你还能职业发展的秘密
9．Calculatingthe Value of Time: How Much is Your Time Really Worth?过去的时间管理都弱爆了！看硅谷人如何为自己的一小时定价
10．Thesoftware engineer’s guide to asserting dominance in the workplace工程师一周应该怎么过
11．Sleepdeprivation is not a badge of honor不要熬夜
12．Whatis Craftsmanship and Why is it Important?技术精益重要性
13．Beingdata-driven: It‘s all about the culture数据驱动
14．Fiveprinciples for applying data science for social good
15．Whatto look for in a data scientist数据科学家需要的
16．Beyondthe Venn diagram超越Venn类型
17．What Ilearned about software architecture from running a marathon从马拉松想到软件架构
18．Defininga reactive microservice定义微服务
19．Educatingdata教育数据
5. 创业分享
1．my-y-combinator-experience/我的YC经历，翻译完
2．Howto Design a Better Pitch Deck如何设计更好融资ppt 翻译完
3．Howto build a good onboarding process for new hires at a startup在创业公司，新员工如何上手，翻译完
4．HowI validated my startup idea如何验证创业想法
5．Afterthe Layoffs裁员之后
6．156Startup Failure Post-Mortems 156家创业失败启示，1/3完成
7．10tips for moving from programmer to entrepreneur从程序员进化到企业家进行中
8．TomBlomfield: When to join a startup什么时候加入创业公司译完
9．LetterTo A Young Programmer Considering A Startup给想创业的年轻程序员的信
10．Howto Time TravelAirbnbCEO告诉你如何写一篇优秀的品牌（软）文
11．Tenclassic books that define tech十本书推荐
12．Howdo you validate your startup idea before quitting your current job在你辞职前如何验证创业想法
13．6questions every founder should ask before they raise capital融资前要问的6个问题
6. 行业公司和人物采访
1．Headof Amazon Web Services on Finding the Next Great Opportunity AWS主管寻找下一个伟大计划
2．10-lessons-from-10-years-of-awsAWS运营10 周年学到的10 条经验教训
3．MarkZuckerberg tackles question on what he would do as Twitter CEO如果扎克伯格是Twitter的CEO，他会怎么做？
4．HowZenefits Crashed Back Down To Earth谎言、酒宴：融资5.8亿美元的硅谷独角兽，疯狂失控中
5．WhyI left the best job in the world The Startup为何我离开世界上最好的工作
6．ADecade at Google在Google工作十年的感悟
7．Hadoopcreator Doug Cutting on evolving and succeeding in open source Doug 谈Hadoop进化和开源
8．Googleand Facebook Team Up to Open Source the Gear Behind Their Empires Google 和FB谈数据中心的较量进行中
9．FacebookDoesn’tMake as Much Money as It Could Facebook钱还没赚够
10．WhatMy PhD Was Like读博是怎么过的
11．WhatTechnology Will Look Like In Five Years 5年后技术什么样翻译完
12．EtsyCTO Q&A: We Need Software Engineers, Not Developers我们要的是工程师，不是开发者
13．Curationand Algorithms人工挑选和算法
14．10XDurability 10倍可靠
15．We’re in a brave, newpost open source world在开源世界中生存
16．Fromfleeing Vietnam in a refugee boat to becoming Uber’s CTO从难民到Uber首席技术官：一个幸存者的故事
17．WhatWill You Do After White-Collar Work?白领工作后能做啥？
18．LyftTo Uber: The Race Is On Lyft和Uber的战争
19．HowJeff Bezos Became a Power Beyond Amazon突破Amazon，Jeff Bezos非凡影响力的崛起之路
20．SearchingFor Google CEO Sundar Pichai, The Most Powerful Tech Giant You've Never HeardOf GoogleCEO你没听说过的超强巨人
21．WhyThis Tech Bubble is Worse Than the Tech Bubble of 2000现在科技泡沫比2000年还大？
22．Thesharing economy: A big step toward making Marshall McLuhan's Global Village areality共享经济
23．Algorithmsof the Mind思想的算法
7. 人工智能&机器学习
1．HowAI Is Feeding China s Internet Dragon AI是怎么适应中国互联网巨龙的（百度）
2．SiliconValley Looks to Artificial Intelligence for the Next Big Thing硅谷把AI作为下一个大事
3．ArtificialIntelligence Finally Entered Our Everyday World AI最后进入我们每天的生活
4．TheFuture of Chat Is not AI聊天的未来不是AI
5．AlphaGoand the Limits of Machine Intuition AlphaGo和机器觉醒
6．Thecurrent state of machine intelligence 2.0机器智能2.0
7．Thefuture of machine intelligence机器智能的未来
8．Learningfrom Tay Tay学到的
9．Learningfrom AlphaGo AlphaGo学习到的
10．RistoMiikkulainen on evolutionary computation and making robots think for themselves如何让机器人自我思考
11．Howto build and run your first deep learning network怎么搭建第一个深度学习网络
12．Predictivemodeling: Striking a balance between accuracy and interpretability
13．Howhuman-machine collaboration has automated the data catalog人工和机器如何合作生成数据目录
14．Buildinga business that combines human experts and data science把专家和数据科学结合
15．Unsupervisedlearning, attention, and other mysteries非监督学习，注意和其他神秘
16．AI‘s dueling definitions AI的定义
17．Insearch of a model for modeling intelligence模型智能的搜索
18．Whatis deep learning, and why should you care?深度学习是啥
19．Compressedrepresentations in the age of big data大数据时代的压缩表示
20．Machinelearning in the wild机器学习野蛮生长
21．Trainingand serving NLP models using Spark MLlib通过spark库做自然语言处理
22．Wouldn‘t it be fun to buildyour own Google?能自己建个Google吗
23．Smallbrains, big data小大脑，大数据
24．Onthe evolution of machine learning机器学习的进化
25．Evolutionarycomputation: Stepping stones and unexpected solutions进化计算
26．Datahas a shape数据有型
27．GeoffreyHinton, the 'godfather' of deep learning, on AlphaGo前沿| 专访GeoffreyHinton：人工智能会继续发展，请不要误用
8. 产品设计&用户增长
1．HowSlack Uses Slack Slack是如何使用Slack的
2．TheDesign Sprint设计的周期
3．Onbuilding product at MediumMedium如何做产品的
4．Duolinguoreach 110M Users多邻国怎么把用户发展到上亿的，已翻
5．SimpleDesign is What You Need, Not What You Want简单设计你需要的，而不是想要的
6．Growthis a system, not a bag of tricks增长是一个系统
7．Design,Process, and Collaboration at Stripe Stripe设计，流程和合作
8．ProductHunt Rise Product Hunt 花了3年多成长故事
9．TheRise, Fall, and Rise of Bitly: How a Free Link Shortener Became a Real BusinessAdventures in Consumer Technology短链服务如何挣钱的
10．HowApple Built 3D Touch苹果手机的3D触摸怎么做的
11．Thelong march from China to the Ivies中国学生进入哈佛的长征之路
12．HackingWord-of-Mouth: Making Referrals Work for Airbnb[GrowthHacking] Airbnb 邀请系统的实现过程
13．HowPinterest increased MAUs with one simple trick Pinterest实现MAU增长的小技巧
14．Thevision, mission, and strategy for Coinbase Coinbase的使命和战略
15．MobileUX Design: What Makes a Good Notification? 手机UX设计：怎么做好通知
16．JoelMarsh on the science of design设计科学
17．UX forbeginners: Key ideas UX入门
18．Prototypingfor physical and digital products物理数字产品的原型设计
9. 前沿技术（虚拟现实，实时计算）
1.Timoni West onnailing the virtual reality user experience虚拟现实体验
2.The evolutionof open source is a good thing开源进化是好事
3.A newinfrastructure for biology生物的新架构
4.The IoT is anatural ecosystem for streaming analytics IOT是流分析的自然生态
5.Streamprocessing and messaging systems for the IoT age IOT的实时消息处理
6.Embeddabledata transformation for real-time streams实时流计算
7.The big datamarket大数据市场
8.What‘ next forbig data applications?下一个大数据应用是什么
9.Distributedsystems performance solutions require real-time intelligence分布式系统需要实时智能
B经典640篇英文IT文章及其网址推荐 (7445字)
640篇英文IT文章列表（文字带链接“ctrl+点击”跳转）
文|董飞，数据精简DataSimp首发，数据简化DataSimp Wed重发
回顾去年的一些科技媒体和博客，董飞老师希望做一些纪录和共享。下面是从Firstround review，medium, waitbutwhy，growthhacker，quora，wired，recode，techcrunch，hackernews，fortune等精选的大概640篇文章英文阅读列表。涉及创业心得，企业文化，科技人物访谈，前沿技术，硅谷往事，程序员修养。如果大家感兴趣也可以留言翻译，校对后在知乎专栏和一些媒体平台（36氪，百度百家，创业邦，雷锋网等）中给大家推荐。翻译范例：为什么最近有很多名人，比如比尔盖茨，马斯克、霍金等，让人们警惕人工智能，Elon Musk：比宙斯还忙的人，之前翻译文章归档到从Firstround Review开始我把内容放在github上，也有不少已经有翻译了，这些就直接让大家学习。
1．Stop Dancing Around Criticismand Put It to Use with These Tips from Airbnb's Head of Experience Design
2．One Rubric Changed Box'sEngineering Performance
3．What I Learned ScalingEngineering Teams Through Euphoria and Horror
4．This Is What ImpactfulEngineering Leadership Looks Like，Dropbox 管理學：好的公司應該告訴員工「不當主管」也沒關係
5．How Medium Is Building a NewKind of Company with No Managers
6．An Inside Look at Facebook'sMethod for Hiring Designers创业公司如何才能招聘到优秀的产品设计师？看看Facebook是怎么做的
7．This is Why People Leave YourCompany
8．The One Thing Every LeaderNeeds to Learn: How to Scale Change
9．From 0 to $1B - Slack's FounderShares Their Epic Launch Strategy从0到10亿美元
10．Drew Houston’s Morph fromHacker to Hyper-Growth CEODropbox 创始人谈：如何从黑客成长为CEO？
11．Employee Onboarding at StartupsIs Broken
12．Fixing Engineering's Loyaltyand Longevity Problem
13．Why Yammer Believes theTraditional Engineering Organizational Structure is Dead
14．The Do’s and Don’ts of RapidScaling for Startups
15．Simple Design is What You Need,Not What You Want
16．Evernote’s CTO on Your BiggestSecurity Worries From 3 to 300 Employees
17．How to Make Engineering InternsEffective for Your Startup
18．Looking for Love in All TheWrong Places
19．How Fast-Growing Startups CanFix Internal Communication Before It Breaks
20．Hyper-Growth Done Right企业超速发展中的时势与英雄：曾领导Facebook 和Dropbox 工程师团队扩张的Aditya分享经验教训
21．How to Make OKRs Actually Workat Your Startup
22．The Best Hires Are Right UnderYour Nose
23．What You Want in a VP Eng fromthe Recruiters Behind Twitter and Zappos
24．Zach Sims of Codecademy onLessons in Raising $12.5 Million for the First Time
25．Head Designer of Mint on WhyGreat Design Isn’t About Making Things Pretty
26．Asana’s Head of Talent on theSecrets to Finding a Great Startup Recruiter
27．Here’s Why You’re Not Hiringthe Best and the Brightest
28．Facebook VP of Engineering onSolving Hard Things EarlyFacebook工程部副总裁Cory Ondrejka谈企业在早期所遇到的管理瓶颈
29．Lessons from Pixar: WhySoftware Developers Should Be Storytellers
30．Rap Genius Explains Why Worseis Better
31．Software is Eating Hardware
32．Mechanize Your Hiring Processto Make Better Decisions
33．How to Engage Your Users toBuild the Product They Actually Want
34．How to Start a Growth Team, 怎样从无到有地打造一支增长团队？
35．The Woman Behind the NetflixCulture Doc她缔造了 Netflix 的公司文化，最终却又被其所伤
36．The Management Framework thatPropelled LinkedIn to a $20 Billion Company
37．How Modern Marketplaces LikeUber and Airbnb Build Trust to Achieve Liquidity解析Uber与Airbnb等新型Marketplace是如何建立信任、提高Liquidity
38．What Founders Need to KnowAbout Building Management Teams Before It’s Too Late
39．23 Tools to Make Your FeedbackMeaningful
40．The Trick Max Levchin Used toHire the Best Engineers at PayPal
41．How to Scale 10x as a CEO Builta Billion Dollar Business
42．My Management Lessons fromThree Failed Startups, Google, Apple, Dropbox, Twitter and Square：从Google、Apple、Dropbox、Twitter和Square学到的管理哲学
43．Head of Amazon Web Services onFinding the Next Great Opportunity
44．The Five Mistakes Startups MakeWhen Building for Mobile
45．The Brain Hacks Top FoundersUse to Get the Job Done
46．Shooting for an IPO? Take TheseSteps Now Before It's Too Late
47．How Dropbox Sources, Scales andShips Its Best Product Ideas
48．This 90-Day Plan TurnsEngineers into Remarkable Managers九十天：工程师到管理者养成计划
49．Can you buy a Silicon ValleyMaybe
50．Let the other 95 of greatprogrammers in
51．Frighteningly Ambitious StartupIdeas
52．Sam on Startups Venture Capitaland the Y Combinator
53．How to Avoid the BiggestMistake You Can Make as a New Software Engineer
54．How a Scientifically ProvenTechnique Can Improve How Well You Learn and Remember
55．The Deal With Solar太阳能-能源市场的搅局者
56．The Deal With the Hyperloop［伊隆·马斯克公司系列］Hyperloop伟大设想
57．How (and Why) SpaceX WillColonize Mars移民火星 — SpaceX公司的方法和理由
58．The Cook and the Chef: Musk'sSecret Sauce翻译15%
59．unlimited-vacation-policy-really-means
60．Survive and Thrive
61．Lessons Learned After ShuttingMy Startup, Following A Six-Year Struggle，Geatwear之死：一个牛仔裤定制网站的自述
62．First Round State of Startups
63．Project Mezzanine: The GreatMigration at Uber[硅谷热门公司技术巡礼2]：UBER数据大迁徙
64．Deep Lessons from Google andeBay on Building Ecosystems of Microservices
65．Working for yourself: The day Idid something
66．Hadoop creator Doug Cutting onevolving and succeeding in open source
67．Getting Real: Be Yourself (by37signals)
68．Inside the clone factory: TheSamwer brothers' story http://36kr.com/p/5040142.html
69．Playboy Interview: Google Guys
70．Somewhere that's right for you:choosing your first startup
71．five keys to a successfulgoogle team,Google人力副总裁:Google的成功团队具有五个关键要素
72．How to Design a Better PitchDeck · The Macro
73．4 Lessons For SaaS StartupsFrom Optimizely's Early Days
74．Coding is boring, unless…，稀土掘金：编程很没劲，除非你……
75．The Surprising Secret to Beinga Good Boss
76．On building product at Medium
77．high-output-management
78．What Technology Will Look LikeIn Five Years
79．Full stack startups
80．search-architecture ininstagram
81．Venture Capital in Transition
82．What I learned from passing oninvesting in Twitter & Zynga
83．“Meaningful” startups
84．Stack Overflow and theZeitgeist of Computer Programming
85．Do Fewer Things, Better
86．Developer Turned Manager
87．What I Learned from Blowing AnInterview
88．Pondering Homejoy’s Failure
89．You Don't Need To UnderstandProgramming to Appreciate This Awesome Rant
90．Why biomedical superstars aresigning on with Google : Nature News & Comment
91．Fail at Scale
92．The Top 100 Hacker News Postsof All Time
93．Is the caliber of Googleengineers decreasing
94．Startup Playbook:【独家】最干的干货：YC年度创业生存手册
95．product insights from wechat，今天，我们来聊聊微信的产品哲学圣经（上）
96．Growing Your Tech Stack: Whento Say No
97．The Stack Behind NetflixScalingNetflix发展背后的技术
98．This Is How You Design YourMobile App for Maximum Growth
99．Flipboard's Fanfare Fades asExecutives Exit, Sale Talks Stall
100．late bloomer, not a loser.
101．What Powers Instagram: Hundredsof Instances, Dozens of Technologies
102．WhatsApp's Co-Founder on Howthe App Became a Phenomenon
103．What do people in SiliconValley plan to do once they are over 35?
104．The Stack That Helped MediumScale To 2.6 Millennia Of Reading Time
105．The Most Important Startup'sHardest Worker Isn't a Person
106．Getting (the Right) Stuff Done
107．Google’s growing problem: 50%of people do zero searches per day on mobile
108．Y Combinator vs. GraduateSchool
109．18F — Managing technical debt：务实的技术债务管理
110．Engineer's Guide to US Visas
111．How Can We Achieve AgeDiversity in Silicon Valley?
112．Destroy all hiring processes
113．Epic slide deck from formerYahoo board member lays out the future of tech and media
114．Rebuilding Our Infrastructurewith Docker, ECS, and Terraform，如何使用 Docker、ECS、Terraform 重建基础架构？
115．Measure Anything, MeasureEverything，测量所有，量化一切！
116．WeWork Used These Documents ToConvince Investors It's Worth Billions
117．You don’t have what it takes
118．Five Years of BuildingInstagram，建立Instagram的5年
119．Backend infrastructure atSpotify
120．Success at Work, Failure atHome
121．Inside Facebook's ArtificialIntelligence LabFacebook如何使用“我们”的数据去构建人工智能
122．2016-career-launching-companies-list
123．Negotiating Comp Means Making aDeal with a Devil
124．Why WhatsApp Only Needs 50Engineers for Its 900M Users拥有 9 亿用户的 WhatsApp，工程师只有 50 人
125．GitHub CEO: What I Learned FromOur Company's Harassment Scandal
126．Why I Fucking Hate Unicorns andthe Culture They Breed
127．chasing the shiny and new
128．Some advice from Jeff Bezos
129．My favorite interview question
130．Here's What a Real GrowthStrategy Looks Like
131．Don’t build it in-house. Thereis an API for that.
132．How Uber Scales Their Real-timeMarket Platform
133．advice-for-preparing-for-transition
134．How Zuck's Old TA HelpedFacebook Master Mobile Ads
135．An Open Letter to Anyone Movingto San Francisco for a Tech Job
136．A DECADE AT GOOGLE
137．The art of iterating quickly
138．Uber's Phantom Cabs
139．A Leader’s Guide To Deciding:What, When, and How To Decide
140．What are some decisions takenby the "Growth team" at Facebook that helped Facebook reach 500million users?，tech2ipo.com
141．Why I left the best job in theworld
142．Life…
143．How Slack Uses Slack
144．Service-Oriented Architecture: Scaling the Uber Codebase As We Grow，Uber从单体架构转向微服务架构
145．Airbnb Shares The Keys To ItsInfrastructure
146．‘Give Away Your Legos’ andOther Commandments for Scaling Startups
147．What Makes Uber Run
148．Ben Horowitz’s Best StartupAdvice,本·霍格维茨的创业建议
149．Five years, building a culture,and handing it off.
150．Doing Data Science at Twitter,分享丨在twitter搞数据科学是怎样一种体验？
151．Learning as a New Grad on theUber Money Team
152．How I Built a $5k/mo SideProject in 5 Months (longform post)
153．How we work - Pair Programming
154．8 Reasons to Turn Down ThatStartup Job
155．Why you can't find a technicalcofounder
156．Greylock Partners Teardown
157．How It Ticks: Building theAirbnb Apple Watch App
158．One of the biggest mistakesI’ve made in my career
159．Regretting the Golden Handcuffs
160．APIs Are The New FTEs
161．GitHub: Scaling on Ruby, with anomadic tech team
162．Subtraction = Growth
163．The journey of a startup, fromidea to growth
164．An honest guide to the SanFrancisco startup life
165．How Instacart Built ItsOn-Demand Grocery Delivery Service
166．How Do Stock Options and RSUsDiffer?
167．Not Every Startup Should BeVenture-Backed
168．Dropbox: the first deaddecacorn为什么说 Dropbox 会是第一家死掉的“独角兽”？
169．AppNexus' First Pitch
170．Ways to think about cars
171．Does giving other people creditbuild your confidence? I think so
172．You Don’t Need to Know How toCode to Make it in Silicon Valley
173．the-technology
174．one-year-review YC
175．How An Early Facebook EmployeeMessed Up, Got Fired, And Cost Himself $185 MillionFacebook创业早期事：我是如何损失掉1.85亿美元的？
176．StackOverflow Update: 560MPageviews A Month, 25 Servers, And It's All About Performance
177．Continuous Deployment at Quora
178．Scaling Asana.com
179．Slow Growth Lessons in aHack-Assed World
180．Building LinkedIn's NewEngineering Bootcamp
181．Tinder and Hookup-CulturePromotion
182．How Netflix Reinvented HR
183．How Two Non-TechnicalCofounders Grew & Sold Their Startup for Millions
184．Developers Who Can Build Thingsfrom Scratch
185．Taking the 'D' Out of CRUD withSoft Deletes
186．This guy used an insaneget-rich-quick scheme to become a start-up millionaire in three weeks
187．Uber’s Secret Weapon
188．Bigger Isn’t Always Better: HowA Big Round Can Hurt Your Startup
189．“Don’t Take Advice” and MoreStartup Advice
190．Why You Should Be A MorningPerson
191．When One App Rules Them All:The Case of WeChat and Mobile in China对于占领全球的微信，国外顶级风投公司是如何评价的呢？
192．Change Your Name
193．What Does It Mean For Start-UpsTo Create Value?
194．Thirteen Months of Working,Eating, and Sleeping at the Googleplex
195．10years.firstroundFirst Round回顾种子轮融资十年历程，总结分享十大经验
196．Don’t Listen to Your Users Andother lessons from building a consumer-facing app，tech2ipo.com
197．DIFFERENT STROKES
198．If your product is Great, itdoesn't need to be Good.
199．What Makes Founders Succeed
200．Moving-Fast-With-High-Code-Quality
201．The Verge's web sucks
202．Sarah Smith's answer to Whatare some of the biggest red flags in an interviewee?
203．Introducing Nurse:Auto-Remediation at LinkedIn
204．The Duct Tape Programmer
205．Paul Graham’s Startup Advicefor the Lazy，太忙没时间？10分钟读完Paul Graham为“懒人创业者”总结的创业经
206．Killing over-communication: aninternal memo from our founders
207．Architecting Backend for aSocial Product
208．iOS Build Infrastructure
209．Guido on Python [LWN.net]
210．So You're Leaving Your StartupJob...
211．Stop Whiteboarding
212．Inside the sad, expensivefailure of Google+深度解读Google+失败内幕：缺乏远见忽视用户
213．How to find a startup worthworking for
214．A guide to PR for startupsCraig Kerstiens
215．Speed as a Habit
216．Welcome To The Unicorn Club,2015: Learning From Billion-Dollar Companies
217．How I validated my startup idea
218．Everything Is Data << Only Once
219．Silicon Valley’s Dirty Secret
220．What are Bloom filters?
221．A Conversation with Alan Kay
222．Want a Better Pitch? WatchThis.
223．Kevin Systrom's answer to Whatis the genesis of Instagram?
224．A Framework to Maximize YourStartup's Hiring Success
225．A Brief History of ScalingLinkedInLinkedIn架构演化历史解析
226．inside-operation-inversion-the-code-freeze-that-saved-linkedin
227．Airbnb, My $1 Billion Lesson,10亿美金的教训——我居然错过Airbnb的天使轮
228．Programmers are distraction foryour startup
229．Behind the App: The Story ofCirca
230．The education of Airbnb's BrianCheskyAirbnb创始人Brian Chesky的自我成长之路
231．stewart-butterfield-of-slack-experience-with-empathy-required
232．Brigade’s Experience Using anMVC Alternative
233．What I Learned From Steve Jobs
234．Behind the App: The Story of1Password
235．What I Learned When I Gave Upthe ‘9 to 5’,放弃「朝九晚五」的收获
236．7 Important Lessons fromAirbnb's 7 Rejections
237．Startup CEOs: Forget “FullStack” and Focus on Creating Real, Differentiated Value
238．The Never Ending Road ToProduct Market Fit
239．After the Layoffs
240．MadLib Feedback
241．What Does a Startup COOActually Do?
242．The CEO’s Challenge:Engineering Alignment
243．12 Things I Learned from BenHorowitz about Management, Investing, and Business
244．Write code every day
245．What do Stanford GSB founderslook like? http://36kr.com/p/5043595.html
246．Maker to Manager: What astartup founder does
247．Back to SF after the U.S.Digital Service
248．silicon-valleys-youth-problem
249．the-role-of-a-senior-developer
250．luck_and_the_entrepreneur
251．I'm Joel Gascoigne, and This Isthe Story Behind Buffer，我是乔尔加斯科因，buffer背后的故事
252．The Moment I Fell in Love Withthe World of Startups
253．Your Career is a Mess
254．Microservice Trade-Offs【大牛观点】MartinFowler谈微服务的优缺点
255．Jepsen: On the perils ofnetwork partitions
256．Why Invest in Tools?
257．Behind the App: The Story ofAlfred：tech2ipo.com
258．Coding for Obsolescence
259．Playing Startup
260．Engineering Management
261．Three hundred programminginterviews in thirty days
262．Kevin Hale's Soapbox: Wufoo'sBuildup to SurveyMonkey's $35M Acquisition
263．Top Hacks from a PM Behind Twoof Tech's Hottest Products
264．This is the Biggest Mistake aYoung Entrepreneur Can Make
265．On Interviewing Software Engineers?” zdfs
266．Getting Code to Production WithLess Friction and High Quality
267．Profits vs Growth
268．Curation and Algorithms
269．Storytelling 101: Writing Tipsfor Academics
270．Memories of Steve
271．Peer Code Reviews At LooseCannon at New Fun Blog
272．The One-Person Product,一个人的产品_36氪
273．The Happy Demise of the 10XEngineer
274．Who Will Be Hurt Most When TheTech Bubble Bursts? Not VCs
275．Don’t Follow Your Passion:Career Advice for Recent Graduates硅谷顶级VC本·霍洛维茨：创业光有激情？然并卵
276．The fabulous life of techbillionaire Marc Benioff
277．The One Hiring Mistake YouDidn’t Know You Were Making
278．The Art of the Dojo
279．Tending the Spark
280．Adam Leventhal's blog
281．Culture Hacking With A StaffDatabase
282．On Managing Developers
283．Why Open Source Works forLinkedIn
284．Thinking Methodically aboutPerformance
285．Accidental lessons from afirst-time manager
286．LinkedIn founder Reid Hoffmanon the biggest lie employers tell employees
287．Why 1-1 meetings are crucial toyour team’s success
288．My advice to non-technicalfounders
289．19 Successful People Who BarelySleep
290．On writing
291．What is The Best Way to ExplainYour Startup?
292．Chasing the next billion withSundar Pichaitech2ipo.com
293．Silicon Valley hiring is not ameritocracy
294．The Case For Setting ImpossibleDeadlines
295．Firing Well | Monday Note
296．Code Review Best Practices
297．no-stack-startups
298．The Mind of Marc Andreessen
299．How a Side Project Became anObsession
300．Sharding the Asana Database
301．What If Everybody Didn't Haveto Work to Get Paid?
302．How I worked remotely from 11cities in 3 months,tech2ipo.com
303．The Real Teens of SiliconValley
304．Companies Drain Women’sAmbition After Only 2 Years
305．Want to Hire More DiversePeople? Raise Your Bar.
306．Software Based Companies ShouldBe Judged On Their Rate Of Innovation
307．The Importance Of Founders
308．Hiring lessons from GV’s designevent series
309．Why Silicon Valley WillContinue to Rule
310．Behind the Scenes: BuildingAirbnb’s First Native Tablet App
311．Bottled Water: Real-timeintegration of PostgreSQL and Kafka
312．Grouplets - Mike Bland
313．The Secret Sauce of SiliconValley
314．Improving developerproductivity at Asana: Phips Peter
315．The 10 Most Important ThingsI've Learned About Building An Entrepreneurial Mindset
316．How Do I Know If I Should TakeA Job At A Startup?
317．Foursquare’s Dennis CrowleyCan’t Stop Believing
318．Spotify Engineering Culture
319．Etsy CTO On Its ConservativelyCrafty Tech Philosophy
320．The Hidden Costs ofMicroservices
321．How to Impress an Interviewer
322．Google Couldn't Kill 20 PercentTime Even if It Wanted To
323．Notes on Distributed Systemsfor Young Bloods
324．“The Future of Version Control”
325．What Do the Founding Teams ofBillion Dollar Companies Look Like?
326．Marissa Mayer on Yahoo's20-Year Love Affair With The Color Purple
327．Subtle Mid-Stage StartupPitfalls
328．A culture that attracts qualitycandidates
329．Dave Goldberg had an incrediblelife戈德伯格的非凡人生：一切来之不易
330．What Defines anEngineering-Driven Culture
331．Andreessen Horowitz, Deal Makerto the Stars of Silicon Valley
332．Meet the Founder Who's Buildinga New Startup Every Month
333．Ten Career Lessons
334．Product Market Fit is NotEnough
335．Work Is Better Than Talent
336．The On Demand Economy:
337．The Golden Ratio: Design'sBiggest Myth:設計的大迷思：原來黃金比例根本只是一場誤會！
338．Work/Life Balance and What ThatMeans When Things Fall Apart
339．Forbes Welcome
340．Does a good engineering culturematter?
341．Jerry on Java: Simplicity
342．Front End of Innovation Blog:Why Big Companies Fail at Acting Like Start-Ups
343．How to pick a co-founder
344．Why Dropbox Needs to OwnCollaboration to Become a $100b Company
345．What did Billion DollarCompanies Look Like at the Series A?
346．Why Billionaire Investor ReidHoffman Is Betting Big on Bitcoin
347．The full-stack employee,全栈员工，工作的未来就是人人成为瑞士军刀
348．What does it take to be a greatentrepreneur?
349．Dawn of the data centeroperating system
350．Out of the picture: why theworld's best photo startup is going out of business
351．similarities-of-disruptive-companies
352．career-decisions.html
353．Three Simple Rules for BuildingData Products that People Will Actually Use
354．Apple's Tim Cook leadsdifferent
355．How to Write Without Writing
356．The Hardest Lessons forStartups to Learn
357．Values
358．How to Ruin Your Company withOne Bad Process
359．Mentors Are The Secret WeaponsOf Successful Startups
360．The Idea Person
361．How I got 2.3 million appdownloads (without spending a cent on marketing)
362．Ten Things I LearnedResearching Ten of the World’s Fastest Growing Startups,我们能从世界上增长最快的公司身上学到什么？
363．Mindful VC - Transitions
364．The virality of LinkedInEndorsements
365．Y Combinator’s Sam Altman OnThe Elements Of A Successful Startup
366．Microservices at Netflix:Lessons for Architectural Design
367．Friendster Founder Tells HisSide of the Story, 10 Years After Facebook
368．How we upgrade a live datacenter
369．Why do we care about Xiaomi?http://wallstreetcn.com/node/215227
370．My Y Combinator experience
371．Coding Like a Girl
372．Using Services to Break DownMonoliths
373．Hiring Momentum: UnderratedComponent of Startup Success
374．How Dropbox got 75,000wait-list signups from Digg.
375．Interview with Raffi Krikorianon Twitter's Infrastructure
376．Unicorns vs. Horses
377．Startup Priorities
378．Generalists and specialists:thoughts on hiring
379．Storytelling for Startups
380．Startup advice, briefly
381．Where to start up a startup
382．Advice for first-time founders
383．Beauty of Testing
384．The Challenge of ChangingPeople’s Behavior
385．Why We Killed Off Code Reviews
386．Creating Unicorns
387．Cofounder management
388．Replacing Middle Managementwith APIs by Peter Reinhardt
389．The Path Matters
390．The Most Diabolical PythonAntipattern
391．Designing Twitter Video
392．20 questions for 2015
393．What no one talks about whenbuilding a team: letting people go
394．How to behave at work
395．mvps-and-excellence
396．How we run hackathons
397．A Comprehensive Guide toBuilding a Scalable Web App on Amazon Web Services
398．10,000 Hours with Reid Hoffman:What I Learned和最优秀的人一起，我花一万小时学到了这些
399．12 Things I Learned from ChrisDixon about Startups
400．Elizabeth Royal’s MorningRoutine on My Morning Routine
401．Kafka at LinkedIn: Current andFuture
402．Software engineers should write
403．A mile wide, an inch deep
404．Designing the Hiring Process
405．Scaling Elasticsearch toHundreds of Developers
406．Successful startups say “no”成功的创业公司敢于说「不」
407．The Four Meta Secrets ofScaling at Facebook
408．Silicon Valley History 路 Patrick Collison
409．The Age of Unicorns
410．Why to Join a Startup byJessica Livingston
411．The Three UnconventionalQuestions To Ask Every Job Candidate
412．Don't Hire Anyone Over 30:Ageism in Silicon Valley
413．What Doesn't Seem Like Work?
414．A year of designing at Facebook
415．The 30 Best Pieces of Advicefor Entrepreneurs in 2014
416．Coding is not the new literacy
417．What The Hell Is A StartupAnyway?
418．Building an MVPP: MinimumViable Product We’re Proud Of
419．Money = Time
420．The Very First Startup FounderYou Need to Invest in is You
421．Great Data: it’s all in thedelivery
422．the-future-of-the-mobile-industry
423．Management Clichés That Work
424．Medium’s metric that matters:Total Time Reading
425．evhead: Ten Rules for WebStartups
426．Engineering Culture at Airbnb
427．Two eras of the internet: pulland push
428．Return of the Borg: How TwitterRebuilt Google's Secret Weapon《连线》：Twitter研发超级网络系统Mesos，Google已升级类似系统至Omega
429．The Next Big Thing You Missed:Tech Superstars Build 'Startup Factories'
430．An Interview with Flickrcofounder Stewart Butterfield on the Workplace Communication App Slack
431．The Most Difficult Question IAsk Founders
432．How Pinterest drivessustainable growth
433．Cache is the new RAM缓存是新的内存
434．Your developers aren’t slow
435．What Business Can Learn fromOpen Source
436．The Blockchain ApplicationStack
437．The Race to Create Elon Musk’sHyperloop Heats Up
438．Baidu’s Andrew Ng on DeepLearning and Innovation in Silicon Valley
439．community-growth-hacks-from-polyvores-ceo-jess-lee
440．what-we-learned-from-40-female-yc-founders
441．not-reinventing-wheel-is-anticompetitive
442．How to reward skilled coderswith something other than people management
443．The Difference Between Uber andAirbnb
444．nirvdrum's Weblog :: OpenSourcing a Failed Startup
445．A Good Place to Work
446．The New Normal
447．Early Principles of Linkedin& a Reflection of Our Series B Investment
448．top-10-python-idioms-i-wished-id
449．Scaling lessons learned atDropbox, part 1
450．Engineering Values
451．How to Spot A Bad Boss During AJob Interview
452．3 Lessons Learned From StartingA Startup
453．The Cult of Busy
454．How 6 Startup Founders ManageStress and Avoid Burnout
455．building-a-complete-tweet-index
456．How Tokyo is Different toSilicon Valley
457．My Technical Co-Founder Quit 2Days Before I Got My Y-Combinator Interview
458．Why I love databases，为什么我喜欢数据库？没那么复杂和吓人
459．The Most Effective Questions toUse When Interviewing Candidates
460．The Three Qualities of People IMost Enjoy Working With
461．What Angel Investors AreActually Buying From Your Startup
462．The Steve Jobs Guide ToManipulating People And Getting What You Want
463．The Most Fascinating ProfileYou'll Ever Read About a Guy and His Boring Startup
464．Keys to SRE | USENIX
465．demystifying-the-mooc
466．The Rise And Fall Of The FullStack Developer
467．Edmond Lau's answer to What arethe questions that can be asked when the interviewer asks "Anyquestions?"
468．The 5 Early Mistakes ThatAlmost Killed This Founder’s Startup
469．How To Respect Your Startup'sContext (And Grow Quicker)
470．Possible, Plausible andProbable: Big markets and Networking effects
471．This Startup Built InternalTools to Fuel Major Growth — Here’s Their Approach
472．Owning it — The Year of theLooking Glass
473．Kelvin Ho's answer to It seemsmany former Googlers now work at Quora. What was your thought process in makingthe switch?
474．Little’s Law Is Big ForStartups
475．5 Common Server Setups For YourWeb Application
476．A Counterintuitive System forStartup Compensation
477．Runner-Up: Tim Cook, the Technologist
478．Living the Future of TechnicalWriting
479．#define CTO
480．The Hacker's Guide to Investors
481．Theatres of the absurd: how toget startup ideas
482．This University Teaches You NoSkills
483．10x: Architecture at Clay.io
484．The Happiness Culture: ZapposIsn't a Company -- It's a Mission
485．Why You Should Risk SharingYour Idea
486．An Open Source Platform ThatMakes Building Apps Cheap and Easy
487．An inside look at Pinterest'screative culture
488．The incredibly fast rise ofGoogle's Sundar Pichai
489．Profile of Aaron Levie, Who IsTrying to Make the Startup Box Vital for Work
490．10X Durability
491．what-goes-wrong
492．Why threads can't fork
493．how-to-start-a-startup
494．Technical Co-founder
495．How to Find the Time toAccomplish Anything
496．Quora Keeps the World'sKnowledge For Itself
497．how-google-works-final
498．when-are-you-going-to-start-your-own-company
499．Netflix Culture Deck
500．marc-andreessen-in-conversation
501．Eight Docker DevelopmentPatterns
502．PEAK GOOGLE
503．The third great wave
504．Ron Conway's RecommendedReading List
505．Designing a URL structure forBBC programmes
506．22 Mistakes I Made as a FirstTime Founder
507．Early Pinterest Growth WasDriven By Grassroots Marketing
508．Piaw Na's answer to What do thetop 1% of software engineers do that the other 99% do not?
509．Weekend Read: The ImminentDecentralized Computing Revolution
510．travis-kalanick-uber-backstory
511．PayPal's Referral Program: ALegendary Growth Hack
512．Silicon Valley Teens on theFuture of Technology
513．Which Technologies Do StartupsUse? An Exploration of AngelList Data · Coding VC
514．Dark Side of the Curve
515．My Philosophy on Alerting
516．Why I Love Startup School
517．106 Career-Launching TechnologyCompanies
518．Our Journey To and Through YC
519．building-mobile-first-infrastructure-for-messenger
520．Why 'The PayPal Mafia' IsKilling It | Eric M. Jackson
521．Great Minds Don’t Think Alike
522．distributed-is-not-necessarily-more
523．Y Combinator FundingApplication
524．Five Founders
525．from-wall-street-to-silicon-valley
526．Product Hunt Blog
527．How to Avoid One of theCostliest Mistakes in Software Engineering
528．5 Reasons You Should Work For AStartup At Least Once
529．Inside GitHub's Super-LeanManagement Strategy--And How It Drives Innovation，Github的扁平化管理与创新
530．Startups in 13 Sentences
531．Good and Bad Reasons to Becomean Entrepreneur
532．Fixed mindset vs Growth mindset,固定思維模式和成長型思維模式
533．Caching at Scale
534．Relentlessly Resourceful
535．How to Get Into Y Combinator
536．7 Things You Can Legally Stealfrom Successful Companies
537．Chris Granger
538．Three months at Y Combinator:what it’s like and how to get in · Front
539．44 engineering managementlessons
540．Peter Thiel Tweets
541．Venture Firms Fret as YCombinator Soars
542．Why I decided to build a newstartup
543．An Open letter to IndianStartups, Entrepreneurs, VCs and Startup Employees
544．How One Complaint-Filled LetterLanded This Ex-Googler At Her Dream Job
545．The Design Sprint
546．Seven lessons I learned fromthe failure of my first startup, Dinnr
547．How Andreessen Horowitz IsDisrupting Silicon Valley
548．A Tale Of Two Apps
549．How teaching can make you abetter programmer
550．500px Co-Founder And Former CEOOusted From The Startup
551．Longform Reprints: PlayboyInterview: Steve Jobs by David Sheff
552．The Stanford Review
553．2013_Silicon_Valley_Career_Guide
554．A Deeper Look at Uber’s DynamicPricing Model从内部视角剖析Uber动态定价
555．How quitting my corporate jobfor my startup dream f*cked my life up
556．A Dozen Things I’ve LearnedFrom John Doerr
557．this-is-ubers-playbook-for-sabotaging-lyft
558．Startup Traction Starts WithThe Right Goal. How To Get It Right.
559．How Box Maintains EmployeeEngagement and Success Through Rapid Growth
560．The Benefits of Building aCompany in the Bay Area
561．Quora CEO Adam D’Angelo Speaks
562．You suck at technicalinterviews
563．Why did Docker Catch on Quicklyand Why is it so Interesting?
564．ZooKeeper - The King ofCoordination
565．Moving Code Forward
566．Mobile OS Paradigm
567．The Wisdom Of The 20-MinuteStartup
568．Leaving Airbnb离开Airbnb_36氪
569．The GitHub hiring experience ·GitHub
570．Evernote - The $0 Growth Engine
571．How Slack Became the FastestGrowing B2B SaaS Business (Maybe) Ever
572．growth-studies/Tinder
573．new-relics-growth-playbook-from-startup-to-ipo
574．How Stripe Marketed toDevelopers So Effectively
575．WhatsApp, The Anti-MarketingGrowth Phenomenon
576．GitHub's Secret Super Powers
577．Square - How Did Square Grow SoQuickly?
578．growth-studies/spotify
579．growth-studies/airbnb
580．growth-studies/hubspot
581．growth-studies/linkedin
582．growth-studies/yelp
583．growth-studies/snapchat
584．growth-studies/uber
585．growth-studies/upworthy-part-2
586．growth-studies/belly
587．GrowthHackers High TempoTesting Revives GrowthHackers.com Growth
588．Nasty Gal is Killing It atECommerce - Here's How They Did It
589．The Story of Etsy's CraftyGrowth to IPO and a $2 Billion Valuation
590．What is Facebook's User Growthteam responsible for and what have they launched?
591．Startup Hiring Is More AboutCultural Fits Than Qualifications
592．How to Work with Engineers写给设计师：如何与工程师一起工作
593．How to Work with Designers: 如何与设计师一起工作(Facebook产品设计总监Julie Zhuo )
594．Scalability for Dummies
595．How and why LinkedIn isbecoming an engineering powerhouse
596．Linkedin: Gradle for the HadoopEcosystem
597．The lab that created Sparkwants to speed up everything, including cures for cancer
598．Stream Processing with SQL
599．scaling-realtime-analytics-on-big-data
600．how-to-beat-the-cap-theorem[译]如何“打败”CAP定理
601．nosql-at-netflix
602．A Beginners Guide to Hadoop
603．The Hitchhiker’s Guide toPython!
604．Goodbye Microsoft, HelloFacebook! << The World As Best As I Remember It
605．Everyday Algorithms: ElevatorAllocation
606．Can Sheryl Sandberg ChangeSilicon Valley?
607．What is Airbnb's mission/visionstatement?
608．How to Ace a Systems DesignInterview
609．hacker-howto如何成为一名黑客
610．Returning transactions todistributed data stores
611．How To Become a BetterProgrammer by Not Programming
612．Rate-of-learning: the mostvaluable startup compensation,tech2ipo.com
613．The Software Engineer’s Guide toNegotiating a Raise
614．Loyalists vs Mercenaries
615．Pmarchive - Luck and theentrepreneur, part 1: The four kinds of luck
616．How I Interview
617．Maker to Manager: What astartup founder does
618．Back to SF after the U.S.Digital Service
619．The Case for Startups to MakeRadical Transparency the Top Priority
620．Instagram unfiltered
621．How to prioritize customerresearch when everything is a priority
622．What I Learned in My First 120Days at Uber
623．“Too many people already dowhat I want to do.”
624．When I Learned That ComputersHave Soul
625．Move Fast and Fix Things
626．My Uber Intern Experience onthe Supply Engine Team
627．Going Against the Flow: AllenBlue, Cofounder of LinkedIn | Charu Sharma
628．Understanding ConvolutionalNeural Networks for NLP,卷积神经网络在自然语言处理的应用
629．Why Java? Tales from a PythonConvert
630．How To Become A Hacker
631．How to Hire a Rock StarEngineer
632．How We Partitioned Airbnb's MainDatabase in Two WeeksAirbnb是如何在两周内完成数据库切分的
633．What Qualities Make a GoodStartup Engineer?
634．Pmarchive - Why not to do astartup
635．How to Identify and MakeContributions with a Big Impact
636．How learning data structuresand algorithms make you a better developer,学习数据结构与算法分析如何帮助您成为更优秀的开发人员
637．What Powers Instagram: Hundredsof Instances, Dozens of Technologies
638．How to build a good onboardingprocess for new hires at a startup
639．How I joined Google
640．How Do You Know If You'veAchieved Product/Market Fit?
641．Big company vs. startup workand compensation不要搞创业崇拜，在大公司上班比在创业公司好太多了
642．Niche to Win, Baby.
643．I studied the Zappos CEO’sschedule for a year. Here’s what I learned.，从Zappos CEO一整年的时间安排中我们可以学到什么?（上篇：处理电子邮件
644．How Facebook Keeps Scaling ItsCultureatlassian-the-untold-story-how-two-australian-young-guns-built-a-company-headed-for-a-billion-dollar-ipoAtlassian不为人知的故事(下)：两个澳大利亚年轻人创建了30亿美元的公司，直奔美国IPO
（董飞）董老师在硅谷
硅谷“热门华人工程师”董飞是南开大学本科、杜克大学计算机系硕士，现在硅谷创业公司Coursera从事数据工程师工作，深耕硅谷公司大数据应用实战多年。从硕士Hadoop大数据相关研究开始，在大数据领域业界研究多年，先后在百度基础架构组，Amazon云计算部门，LinkedIn架构，Coursera数据架构组，负责过垂直搜索引擎、百度云计算平台研发、广告系统和在线教育平台的架构的设计和研发；涉及Hadoop调优、分布式框架、Data Pipeline、实时系统等技术。本文作者：董飞，来源：知乎链接：http://zhuanlan.zhihu.com/p/欢迎大家关注他的公号“董老师在硅谷”。（著作权归作者所有，商业转载请联系作者获得授权，非商业转载请注明出处。）
B数据简化DataSimp公众号 (1127字)
数据简化DataSimp公众号
文|译|秦陇纪，Tue—Wed重新编发
“数据简化DataSimp”公众号文章以数据科学政产学研资相关论文、历史和新闻，如数据产业现状、数据处理分析、人工智能对数据的抽象、信息和数据的流程简化、数据标准化、小数据和大数据关联简化等方面；以及智能科学相关数据科学和人工智能、大数据技术顶级团队、技术信息为主，中英文同步直播最新产学研信息。目前主要推往全球主要数据科学家所在地，如北京上海广东西安等地；谋求尽快达到创业层次做数据行业实业。公号用户Mon预览至上篇（7.8k字)AlphaGo上3.16Wed总用户数960人，公号目前6k关注用户，欢迎大家关注并请分享朋友圈！
数据简化DataSimp公众号合伙人：1）具备研究生学历和能力，身处数据科学相关行业；2）对数据科学和数据简化相关研究有浓厚兴趣和充裕时间，每天可投入半小时，或每周有2、3次发文时间；3）从美国、英国、德法、新加坡、日韩等地文章和活动出发，各国均需要本地兼职合伙人一起翻译整理；4）接受有数据科学和AI基础的科技媒体记者、新媒体爱好者投稿撰稿。目前6位兼职义工/合伙人（中美韩），尚缺社区网站义工、图像美工、网页设计、英德法日韩翻译各一位。
1、设计公众号LOGO、文末二维码及打赏码组合位图：1）数据简化（data simplification）LOGO要求显示中英文字：数据简化DataSimp。LOGO采用“数据简化、DataSimp”变体缩写“S圈型”为基础，简单明了勾勒出对数据做简化的内涵和形象，做成双色组合（静态）和动画（三色）2个版本的。静态位图版可参考新智元标志的布局（其布局颜色设计太模糊不可取），动态有光影闪过效果即可。黑白静态和三彩色动态社区LOGO图标用在微信公众号图标尺寸8cm,12cm,15cm,30cm,50cm的正方形二维码中心的图片位。2）二维码及打赏码组合位图：公号二维码（正中是LOGO）及打赏码（小图，大概是公号二维码的3/4左右）组合位图包含位图和图下说明文字，用在文末提醒和吸引读者关注和打赏。优秀者邀请为创始美工设计合伙人，欢迎网页设计师参与投稿。
2、跨平台H5网页设计：用于跨多种操作系统（PC桌面电脑、平板电脑、苹果电脑、安卓手机、苹果手机等）终端平台的H5页面设计优化，需要有大量设计素材和经验。目前阶段“数据简化DataSimp”微信公众号页面单调、配图不到位。未来公号全面推向微博、博客、知乎、豆瓣、头条、快手、抖音等门户网站、流行应用及BAT科技类媒体，需要加强兼容各平台的页面设计。
我们的口号是：有了数据简化，信息变得简单。
投稿邮箱，欢迎学界、业界爱好者推荐最新或重要的数据科学和行业方面文章（关于本领域专家、技术论文、公司产品、事务活动的），抑或你有什么好的想法，都可以发邮件写信给我。原创者投稿发文章时署名（笔名亦可），翻译、整理文章需注明出处和译者、，欢迎高质量作者加入数据简化DataSimp公号。
如果觉得本号文章有价值，请及时关注。
参考文献(118字)
1. 秦陇纪. 《640篇英文IT文章列表》（一二三）.[EB/OL] 数据精简, 数据简化DataSimp(微信公众号), http://www.datasimp.org,.
x. 秦陇纪. 数据科学与大数据技术专业概论; 人工智能研究现状及教育应用;纯文本数据神经网络训练; 大数据简化之技术体系. [EB/OL] 数据简化DataSimp(微信公众号), http://www.datasimp.org, .
经典825篇英文IT文章及其网址推荐 (12005字)
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简介：经典825篇英文IT文章及其网址推荐。(公号回复“英文IT文章”，文末“阅读原文”下载4图19页46k字PDF典藏版资料) 蓝色链接“数据简化DataSimp”关注后下方菜单项有文章分类页。作者：董飞，前Linkedin高级工程师、现Coursera数据架构师董飞总结；秦陇纪；等。来源：知乎、外媒、数据简化社区秦陇纪微信群聊公众号，引文出处请看参考文献。主编译者：秦陇纪，数据简化社区、科学Sciences、知识简化新媒体创立者，数据简化OS设计师、C/Java/Python/Prolog程序员，IT教师。版权声明：科普文章仅供学习研究，公开资料(C)版权归原作者，请勿用于商业非法目的。秦陇纪2018数据简化DataSimp综合汇译编，投稿合作，或出处有误、侵权、错误或疏漏(包括原文错误)等，请联系沟通、指正、授权、删除等。每天十几万字中英文阅读、几万字文章汇译编、时间精力人力有限，欢迎转发、赞赏、加入支持社区。欢迎转发：“数据简化DataSimp、科学Sciences、知识简化”新媒体聚集专业领域一线研究员；研究技术时也传播知识、专业视角解释和普及科学现象和原理，展现自然社会生活之科学面。秦陇纪发起未覆盖各领域，期待您参与~~ 强烈谴责超市银行、学校医院、政府公司肆意收集、滥用、倒卖公民姓名、身份证号手机号、单位家庭住址、生物信息等隐私数据！
Appx(626字).数据简化DataSimp社区简介
信息社会之数据、信息、知识、理论持续累积，远超个人认知学习的时间、精力和能力。应对大数据时代的数据爆炸、信息爆炸、知识爆炸，解决之道重在数据简化(Data Simplification)：简化减少知识、媒体、社交数据，使信息、数据、知识越来越简单，符合人与设备的负荷。数据简化2018年会议(DS2018)聚焦数据简化技术(Data Simplification techniques)：对各类数据从采集、处理、存储、阅读、分析、逻辑、形式等方ose 做简化，应用于信息及数据系统、知识工程、各类数据库、物理空间表征、生物医学数据，数学统计、自然语言处理、机器学习技术、人工智能等领域。欢迎投稿数据科学技术、简化实例相关论文提交电子版(最好有PDF格式)。填写申请表加入数据简化DataSimp社区成员，应至少一篇数据智能、编程开发IT文章：①高质量原创或翻译美欧数据科技论文；②社区网站义工或完善S圈型黑白静态和三彩色动态社区LOGO图标。论文投稿、加入数据简化社区，详情访问www.datasimp.org社区网站，网站维护请投会员邮箱。请关注公众号“数据简化DataSimp”留言，或加微信QinlongGEcai(备注：姓名/单位-职务/学校-专业/手机号)，免费加入投稿群或”科学Sciences学术文献”读者微信群等。长按下图“识别图中二维码”关注三个公众号(搜名称也行，关注后底部菜单有文章分类页链接)：
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