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Who Doesn't Want to Believe in Magic?

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As developers, we often make things happen but can’t explain exactly how.. Computing ultimately comes down to 1s and 0s, but we seldom think of our work that way. It is the powerful abstractions provided by software that drive technological progress. But what happens when these abstractions become too magic? This talk will explore the pitfalls of “abstraction magic”, and promote the successes that full stack understanding can bring to your projects, and even career.

Published in: Technology, Design
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  • DOWNLOAD THE BOOK INTO AVAILABLE FORMAT (New Update) ......................................................................................................................... ......................................................................................................................... Download Full PDF EBOOK here { https://urlzs.com/UABbn } ......................................................................................................................... Download Full EPUB Ebook here { https://urlzs.com/UABbn } ......................................................................................................................... Download Full doc Ebook here { https://urlzs.com/UABbn } ......................................................................................................................... Download PDF EBOOK here { https://urlzs.com/UABbn } ......................................................................................................................... Download EPUB Ebook here { https://urlzs.com/UABbn } ......................................................................................................................... Download doc Ebook here { https://urlzs.com/UABbn } ......................................................................................................................... ......................................................................................................................... ................................................................................................................................... eBook is an electronic version of a traditional print book THE can be read by using a personal computer or by using an eBook reader. (An eBook reader can be a software application for use on a computer such as Microsoft's free Reader application, or a book-sized computer THE is used solely as a reading device such as Nuvomedia's Rocket eBook.) Users can purchase an eBook on diskette or CD, but the most popular method of getting an eBook is to purchase a downloadable file of the eBook (or other reading material) from a Web site (such as Barnes and Noble) to be read from the user's computer or reading device. Generally, an eBook can be downloaded in five minutes or less ......................................................................................................................... .............. Browse by Genre Available eBOOK .............................................................................................................................. Art, Biography, Business, Chick Lit, Children's, Christian, Classics, Comics, Contemporary, CookBOOK, Manga, Memoir, Music, Mystery, Non Fiction, Paranormal, Philosophy, Poetry, Psychology, Religion, Romance, Science, Science Fiction, Self Help, Suspense, Spirituality, Sports, Thriller, Travel, Young Adult, Crime, EBOOK, Fantasy, Fiction, Graphic Novels, Historical Fiction, History, Horror, Humor And Comedy, ......................................................................................................................... ......................................................................................................................... .....BEST SELLER FOR EBOOK RECOMMEND............................................................. ......................................................................................................................... Blowout: Corrupted Democracy, Rogue State Russia, and the Richest, Most Destructive Industry on Earth,-- The Ride of a Lifetime: Lessons Learned from 15 Years as CEO of the Walt Disney Company,-- Call Sign Chaos: Learning to Lead,-- StrengthsFinder 2.0,-- Stillness Is the Key,-- She Said: Breaking the Sexual Harassment Story THE Helped Ignite a Movement,-- Atomic Habits: An Easy & Proven Way to Build Good Habits & Break Bad Ones,-- Everything Is Figureoutable,-- What It Takes: Lessons in the Pursuit of Excellence,-- Rich Dad Poor Dad: What the Rich Teach Their Kids About Money THE the Poor and Middle Class Do Not!,-- The Total Money Makeover: Classic Edition: A Proven Plan for Financial Fitness,-- Shut Up and Listen!: Hard Business Truths THE Will Help You Succeed, ......................................................................................................................... .........................................................................................................................
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Who Doesn't Want to Believe in Magic?

  1. 1. who doesn’t want tobelieve in magic?kate matsudaira | @katematsWednesday, May 29, 13
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  17. 17. mysql>  SELECT  `campaign_active_rankings`.*  FROM  `campaign_active_rankings`  WHERE  (campaign_id  =  3  and  engine_id  =  96)  AND  (latest_rank  =  min_rank  AND  latest_rank  <  max_rank)  ORDER  BY  beta  DESC  LIMIT  3;Wednesday, May 29, 13
  18. 18. Heres the underlying view SQL:campaign_active_rankingsselect  `campaign_tracked_rankings`.`campaign_id`  AS  `campaign_id`,`campaign_tracked_rankings`.`engine_id`  AS  `engine_id`,`campaign_tracked_rankings`.`keyword_id`  AS  `keyword_id`,`campaign_tracked_rankings`.`keyword_labels`  AS  `keyword_labels`,max(`campaign_tracked_rankings`.`rank`)  AS  `latest_rank`,max(`chained_domain_ranks_by_week`.`rank`)  AS  `max_rank`,min(`chained_domain_ranks_by_week`.`rank`)  AS  `min_rank`,(max(`chained_domain_ranks_by_week`.`rank`)  -­‐  min(`chained_domain_ranks_by_week`.`rank`))  AS  `spread`,pow(exp(sum(log(coalesce((case  when  (`chained_domain_ranks_by_week`.`delta`  <>  0)  then  abs(`chained_domain_ranks_by_week`.`delta`)  end),0.5)))),(1  /  count(0)))  AS  `beta`,avg(abs(`chained_domain_ranks_by_week`.`delta`))  AS  `avg_delta_mag`  from  ((`campaigns`  join  `campaign_tracked_rankings`  on(((`campaigns`.`id`  =  `campaign_tracked_rankings`.`campaign_id`)  and  (`campaigns`.`domain_host`  =  `campaign_tracked_rankings`.`domain_host`))))  join  `chained_domain_ranks_by_week`  on(((`campaign_tracked_rankings`.`keyword_id`  =  `chained_domain_ranks_by_week`.`keyword_id`)  and  (`campaign_tracked_rankings`.`engine_id`  =  `chained_domain_ranks_by_week`.`engine_id`)  and  (`campaign_tracked_rankings`.`domain_host`  =  `chained_domain_ranks_by_week`.`domain_host`)  and  (`chained_domain_ranks_by_week`.`week`  in  (`campaign_tracked_rankings`.`week`,(`campaign_tracked_rankings`.`week`  -­‐  interval  1  week),(`campaign_tracked_rankings`.`week`  -­‐  interval  2  week),(`campaign_tracked_rankings`.`week`  -­‐  interval  3  week))))))  group  by  `campaign_tracked_rankings`.`campaign_id`,`campaign_tracked_rankings`.`engine_id`,`campaign_tracked_rankings`.`keyword_id`Wednesday, May 29, 13
  19. 19. chained_searches_by_weekselect  `engine_keyword_week_latest_search`.`week`  AS  `week`,`engine_keyword_week_latest_search`.`search_id`  AS  `search_id`,`engine_keyword_week_latest_search`.`engine_id`  AS  `engine_id`,`engine_keyword_week_latest_search`.`keyword_id`  AS  `keyword_id`,`engine_keyword_week_latest_search`.`search_date`  AS  `search_date`,`engine_keyword_week_latest_search`.`search_state`  AS  `search_state`,`prior_week`.`search_id`  AS  `prior_search_id`,`prior_week`.`search_date`  AS  `prior_search_date`,`prior_week`.`search_state`  AS  `prior_search_state`  from  (`engine_keyword_week_latest_search`  left  join  `engine_keyword_week_latest_search`  `prior_week`  on(((`engine_keyword_week_latest_search`.`engine_id`  =  `prior_week`.`engine_id`)  and  (`engine_keyword_week_latest_search`.`keyword_id`  =  `prior_week`.`keyword_id`)  and  (`engine_keyword_week_latest_search`.`week`  =  (`prior_week`.`week`  +  interval  1  week)))))engine_keyword_week_latest_searchselect  `searches`.`engine_id`  AS  `engine_id`,`searches`.`keyword_id`  AS  `keyword_id`,`searches`.`week`  AS  `week`,`searches`.`state`  AS  `search_state`,`searches`.`date`  AS  `search_date`,`searches`.`id`  AS  `search_id`  from  (`searches`  left  join  `searches`  `better_search`  on(((`searches`.`engine_id`  =  `better_search`.`engine_id`)  and  (`searches`.`keyword_id`  =  `better_search`.`keyword_id`)  and  (`searches`.`week`  =  `better_search`.`week`)  and  (`better_search`.`state`  =  2)  and  (`searches`.`date`  <  `better_search`.`date`))))  where  ((`searches`.`state`  =  2)  and  isnull(`better_search`.`id`))search_domain_rankselect  `pages_urls`.`search_id`  AS  `search_id`,`pages_urls`.`host`  AS  `domain_host`,`pages_urls`.`rank`  AS  `rank`,`pages_urls`.`url_id`  AS  `url_id`  from  (`pages_urls`  left  join  `pages_urls`  `better_pages_urls`  on(((`better_pages_urls`.`host`  =  `pages_urls`.`host`)  and  (`better_pages_urls`.`search_id`  =  `pages_urls`.`search_id`)  and  (`better_pages_urls`.`rank`  <  `pages_urls`.`rank`))))  where  isnull(`better_pages_urls`.`id`)campaign_trackingsselect  `campaign_engines`.`campaign_id`  AS  `campaign_id`,`campaign_engines`.`engine_id`  AS  `engine_id`,`campaign_keywords`.`keyword_id`  AS  `keyword_id`,`campaign_keywords`.`labels`  AS  `keyword_labels`,`campaign_domains`.`domain_host`  AS  `domain_host`  from  ((`campaign_engines`  join  `campaign_domains`  on((`campaign_engines`.`campaign_id`  =  `campaign_domains`.`campaign_id`)))  join  `campaign_keywords`  on((`campaign_engines`.`campaign_id`  =  `campaign_keywords`.`campaign_id`)))campaign_tracked_rankingsselect  `campaign_trackings`.`campaign_id`  AS  `campaign_id`,`campaign_trackings`.`engine_id`  AS  `engine_id`,`campaign_trackings`.`keyword_id`  AS  `keyword_id`,`campaign_trackings`.`keyword_labels`  AS  `keyword_labels`,`campaign_trackings`.`domain_host`  AS  `domain_host`,`engine_keyword_latest_search`.`search_id`  AS  `search_id`,`engine_keyword_latest_search`.`search_date`  AS  `search_date`,`engine_keyword_latest_search`.`search_state`  AS  `search_state`,`engine_keyword_latest_search`.`week`  AS  `week`,`domain_ranking_summaries`.`rank`  AS  `rank`,`domain_ranking_summaries`.`prior_rank`  AS  `prior_rank`,`domain_ranking_summaries`.`delta`  AS  `delta`  from  ((`campaign_trackings`  left  join  `engine_keyword_latest_search`  on(((`campaign_trackings`.`engine_id`  =  `engine_keyword_latest_search`.`engine_id`)  and  (`campaign_trackings`.`keyword_id`  =  `engine_keyword_latest_search`.`keyword_id`))))  left  join  `domain_ranking_summaries`  on(((`engine_keyword_latest_search`.`search_id`  =  `domain_ranking_summaries`.`search_id`)  and  (`campaign_trackings`.`domain_host`  =  `domain_ranking_summaries`.`domain_host`))))chained_domain_ranks_by_weekselect  `chained_searches_by_week`.`search_id`  AS  `search_id`,`chained_searches_by_week`.`engine_id`  AS  `engine_id`,`chained_searches_by_week`.`keyword_id`  AS  `keyword_id`,`chained_searches_by_week`.`week`  AS  `week`,`chained_searches_by_week`.`search_date`  AS  `search_date`,`search_domain_rank`.`domain_host`  AS  `domain_host`,`search_domain_rank`.`rank`  AS  `rank`,`prior_search_domain_rank`.`rank`  AS  `prior_rank`,(`prior_search_domain_rank`.`rank`  -­‐  `search_domain_rank`.`rank`)  AS  `delta`  from  ((`chained_searches_by_week`  join  `search_domain_rank`  on((`chained_searches_by_week`.`search_id`  =  `search_domain_rank`.`search_id`)))  left  join  `search_domain_rank`  `prior_search_domain_rank`  on(((`chained_searches_by_week`.`prior_search_id`  =  `prior_search_domain_rank`.`search_id`)  and  (`search_domain_rank`.`domain_host`  =  `prior_search_domain_rank`.`domain_host`))))domain_ranking_summariesselect  `engine_keyword_latest_search`.`engine_id`  AS  `engine_id`,`engine_keyword_latest_search`.`keyword_id`  AS  `keyword_id`,`engine_keyword_latest_search`.`search_id`  AS  `search_id`,`urls`.`host`  AS  `domain_host`,max(`engine_keyword_latest_search`.`search_date`)  AS  `search_date`,max(`engine_keyword_latest_search`.`search_state`)  AS  `search_state`,min(`chained_url_ranks_by_week`.`rank`)  AS  `rank`,min(`chained_url_ranks_by_week`.`prior_rank`)  AS  `prior_rank`,(min(`chained_url_ranks_by_week`.`prior_rank`)  -­‐  min(`chained_url_ranks_by_week`.`rank`))  AS  `delta`  from  ((`engine_keyword_latest_search`  join  `chained_url_ranks_by_week`  on((`engine_keyword_latest_search`.`search_id`  =  `chained_url_ranks_by_week`.`search_id`)))  join  `urls`  on((`chained_url_ranks_by_week`.`url_id`  =  `urls`.`id`)))  group  by  `engine_keyword_latest_search`.`engine_id`,`engine_keyword_latest_search`.`keyword_id`,`urls`.`host`chained_url_ranks_by_weekselect  `chained_searches_by_week`.`search_id`  AS  `search_id`,`chained_searches_by_week`.`engine_id`  AS  `engine_id`,`chained_searches_by_week`.`keyword_id`  AS  `keyword_id`,`chained_searches_by_week`.`week`  AS  `week`,`pages_urls`.`url_id`  AS  `url_id`,`pages_urls`.`rank`  AS  `rank`,`pages_urls`.`page_number`  AS  `page_number`,`pages_urls`.`position`  AS  `position`,`prior_pages_urls`.`rank`  AS  `prior_rank`,(case  when  (`prior_pages_urls`.`rank`  is  not  null)  then  -­‐((`pages_urls`.`rank`  -­‐  `prior_pages_urls`.`rank`))  else  NULL  end)  AS  `delta`  from  ((`chained_searches_by_week`  join  `pages_urls`  on((`pages_urls`.`search_id`  =  `chained_searches_by_week`.`search_id`)))  left  join  `pages_urls`  `prior_pages_urls`  on(((`prior_pages_urls`.`search_id`  =  `chained_searches_by_week`.`prior_search_id`)  and  (`prior_pages_urls`.`url_id`  =  `pages_urls`.`url_id`))))Wednesday, May 29, 13
  20. 20. Image source: http://static.fjcdn.com/pictures/pear_ff99e0_3037113.jpgwhat is inthat blackbox?Wednesday, May 29, 13
  21. 21. Image source: htto://www.amazon.comWednesday, May 29, 13
  22. 22. flow happinessmasteryWednesday, May 29, 13
  23. 23. cause&effectWednesday, May 29, 13
  24. 24. Wednesday, May 29, 13
  25. 25. I may not be there today,but I am closer than I was yesterday.Wednesday, May 29, 13
  26. 26. we are definedby what wemake time to doWednesday, May 29, 13
  27. 27. Wednesday, May 29, 13
  28. 28. thank youpresentation by:kate matsudairapopformsWednesday, May 29, 13

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