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• 作者：那儿是哪儿 发布时间：2013-08-17 03:48:36

  太爱了好吗这套！

• 作者：咲奈 发布时间：2022-09-20 00:32:55

  用好纸的书摸起来真的好过瘾

• 作者：Timesong 发布时间：2020-04-05 19:11:48

  去年收到的礼物，小学喜欢看连环画，初中喜欢看绘本。

  此画本是上海人民美术出版社的，传统的戏曲故事，传统的画风，传统的装帧，传统的味道。

• 作者：espionage 发布时间：2019-01-06 14:32:18

  最后预测七的现实，两国足球队冠军数错误。且作者忽略了今天顶尖的足球技术、战术和球员本身处在加速迭代战果不稳定时期。

• 作者：乌子虚 发布时间：2015-12-07 13:57:11

  孔夫子上买的，书品相很好，价格也很实惠。这本书很适合班主任班级管理及需要有活动的课堂，如语文课写作文，避免言之无物可以参考本书的游戏案例，先玩后写。

• 作者：R1se-虞书欣 发布时间：2022-11-11 17:57:14

  在番茄小说草草读完了，编写的好像教科书，里边的成因和治疗手段看了总想划线，划重点。不过我看这个主要是和读故事一样，满足我的求知欲（显然这本书更适合给初学者“介绍”一下心理学中人常见的病）

• 老少皆宜的早茶

  作者：日中星鳥 发布时间：2012-02-02 16:23:45

  整本書是在交通工具上完成的，這裡要說的不是其是一本kill time的娛樂之作，而是一本真正通俗易懂的讀物，除了在第一章涉及到的幾個少數terms（而且高中地理課本上都有涉及）和之後給我印象很深的截斷低壓外，基本上沒有其他更難理解的詞彙。

  所以對於想要進階天氣學的同學，這本書絕不是一本能幫助你get though的書籍。但也表明這本書不會給任何人帶來任何閱讀障礙。

  整本書雖然不是“娛樂讀物”，但是作者的語言卻相當生活化，在陳述客觀現象時不忘調侃一下日常生活。假如你家有一位死守“天氣預報”檔的家庭主婦，這將是一本不錯的禮物。

  當然對於中國讀者來說，書中大量（或者說全部）的例子都來自于America，這將是一件十分有趣的事情，假如你想瞭解美國的話，附贈的map和大量的地理信息會讓你迅速瞭解這個國家的天氣情況。但是假如你只想知道家門口和省內的天氣還是請繼續關注天氣預報吧。

  但是書內的原理都是通用的，瑞雪照豐年對美國不適應，那麼在特定的條件下你也可以分析出似乎一些傳統諺語也不是那麼十全十美。

  最後，假如你喜歡推理，那麼在看每一個小標題的時候可以稍稍問一下，這件事情的真相（原理theory）是什麽。climate絕對比世界上任何一個smooth criminal更加難以捉摸，但是對付小範圍的weather，我們還是有辦法把真相找出來的，畢竟即便是天空，真相永遠也只有一個！

  P.S.假如大家見到此書的英文原版（the edition of English），請聯繫本人一下。這裡我的潛在意見是，假如可以，儘量閱讀原版，但並不是說譯本不好，這本譯本基本上體現了原作者清晰可愛的語言風格，而且一些諺語翻譯的非常到位，但是面對大量的美國式的天氣描述方式，原文將會使讀者收穫更多。

• Notes on The Effective Engineer

  作者：Dufan 发布时间：2020-05-14 11:02:34

  入行近两年，工作过两个组，时常还是在burnout的时候困惑自己是否是一个合格的代码生产者，在不断的reorg间，怀疑自己做的项目是否真的有价值，如何能做一个开心且有效率的工程师。这本书也是作者思考这个问题搜集的资料和自己的思考，读的过程中好多坑也是自己亲身走过，想疯狂点头表示+1，合上书后投入到日常工作中，没过多久焦虑和不知所措又重新涌上来。下次burnout/不想工作的时候可以回看这篇书里节选的notes吸取一点阳光。

  （PS. 疫情前从library借走10本书简直是今年做过最好的决定，拖延症总是高估自己的阅读速度，之前两周的checking out period经常看到一半就需要还回去，这次county图书馆无限延长借阅时间简直不能太开心）

  Part 1 Adopt the right mindset

  #

  Leverage

  #

  - High-leverage activities behave similarly, letting you amplify your limited time and effort to produce much more impact.

  - 3 questions to ask:

  1. How can I complete this activity in shorter amount of time?

  2. How can I increase the value produced by this activity?

  3. Is there something else that I could spend my time on that would produce more value?

  - 3 solutions:

  1. automate parts of development/testing process that thus far done manually

  2. prioritize tasks based on how critical they are for launch so that you maximize the value of what you finally ship

  3. talk with customer support to understand value

  #

  Growth mindset

  #

  - own your story: write your own story instead of letting others define it

  - capitalize on opportunties at work to improve your technical skills

  - locate learning opportunities outside of the workspace

  - study code for core abstractions written by the best engineers at your company

  #

  Prioritize Regularly

  #

  - understand # of projects you can work on simulatneously; resist urge to take more (reduce context switches)

  - build routine to manage and execute on your own priorities

  - make if-then plans to combat procrastination

  - work on important and non-urgent (prioritize long-term investments that increase effectiveness)

  Part 2 Execute, Execute, execute

  - optimize iteration speed: identify biggest bottlenecks and figure out how to eliminate them.

  - optimize your debugging work flow

  - invest in tooling

  #

  Metrics

  #

  Good metrics

  1. help you focus on right thing

  2. drive forward progress

  3. help guard against future regression

  4. measure effectiveness, compare leverage

  #

  Data integrity

  #

  - log data liberally, in case it turns out useful later

  - build tools to iterate on data accuracy sooner

  - write E2E integration test to validate entire analytics pipeline

  - examine collected data sooner

  - cross-validate data accuracy by computing same metric in multiple ways

  - when a # look off, dig into early

  #

  Validate ideas early and often

  #

  - optimize for feedback asap, understand what user actuallly want and iterate on that feedback

  - create a feedback loop (soliciting regular feedback)

  #

  Improve project estimation

  #

  - budget for unknown

  - do the riskiest tasks first

  - reduce risk early: stub out incomplete module & assemble E2E system ASAP

  - think of estimate as probability distribution

  - beware of anchoring bias (ignore timeline your manager gives you first)

  - define specific project goals & measureable milestones (sharded)

  #

  Rewrite projects with caution

  #

  - add new features to new or old system

  - Frederick Brooks "second-system effect: difficulties in rewriting"

  - convert a large rewrite project into a series of smaller projects

  - using an incremental approach may increase overall amount of work but dramatically reduce risk is often worth it

  Part 3 Build Long-term value

  #

  Balance quality with pragmatisim

  #

  Bobby Johnson (director of FB engineer): "Instead of right/wrong. Look at it from work vs not work"

  - To the point where the processes provide deminishing returns on quality and actually reduce effectiveness.

  - Manage complexity through abstraction: create an abstraction too early, before you have a firm handle on the general problem you're solving, the resulting design can be overfitted to the available use case.

  #

  Technical Debt

  #

  - Since our initial understanding of problems always will be incomplete, incurring a little debt is unavoidable; it's just part of getting things done.

  - The key to being a more effective engineer is to incur TD when it's necessary to GTD for a deadline, but to pay off the debt periodically.

  - lightweight mechanism to pay off technical debt "Fixit week: with theme

  #

  Minimize Operational Burden

  #

  - keeping a system up and running, scaling a feature to support more users, fixing bugs, transferring an ever-growing body of institutional knowledge to new engineers --- all of these costs continue to tax a team's resources, even after a feature or system ships. When team is small, minimizing that tax is critical.

  - Steve Job on iPod: When you first start off trying to solve a problem, the first solutions you come up with are very complex, and most people stop there. But if you keep going, and live with the problem and peel more layers of the onion off, you can oftentimes arrive at some very elegant and simple solutions. Most people just don't put in the time or eneergy to get there.

  - Mike Krieger, Instagram CTO. Pick solid & proven technologies instead of new ones

  - "Do Simple thing first" mantra/core engineering tenet

  - Fail fast

  * crash at startup time when encoutnering config errors

  * Validate software inputs early

  * bubble up an error from external service you don't know how to handle

  * alert engineers about any invalid or inconsistent program state as early as possible

  * a lot of catches may not technically good slowly faling system. Make it difficult to discover what went wrong.

  #

  Automate Mecahnical tasks

  #

  - automatic mechancis

  - automate decision making

  #

  Batch process

  #

  - scripts executing a sequence of actions without human intervention

  - "idempotent"

  * make each process either fali entirely or succeed entirely

  * the ability to run infrequent process at a more frequent rate than strictly necessary to expose problem sooner

  - run batch process more frequently (a system check every 5 minutes to 10 minutes is not as good as every 60s and watch for consecutive failures)

  - Netflix: Chaos Monkey actively wreak havoc on their own system, develop the ability to recover quickly

  #

  Good interview process

  #

  - screen for the type of people likely to do well

  - get candidate excited about team/culture/mission