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Parallel programming, memory essay, unicode article.

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John Washam 2016-09-02 16:09:10 -07:00
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@ -872,6 +872,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
- [ ] https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a
- [ ] **Papers**:
- [ ] What Every Programmer Should Know About Memory: https://www.akkadia.org/drepper/cpumemory.pdf
- [ ] Spanner: Google’s Globally-Distributed Datab: http://static.googleusercontent.com/media/research.google.com/en//archive/spanner-osdi2012.pdf
- [ ] The Google File System: http://static.googleusercontent.com/media/research.google.com/en//archive/gfs-sosp2003.pdf
- [ ] MapReduce: Simplified Data Processing on Large Clusters: http://static.googleusercontent.com/media/research.google.com/en//archive/mapreduce-osdi04.pdf
@ -885,6 +886,10 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
- [ ] High-Availability at Massive Scale: Building Google’s Data Infrastructure for Ads: https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44686.pdf
- [ ] Machine Learning: The High-Interest Credit Card of Technical Debt: http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43146.pdf
- [ ] **Unicode**
- [ ] The Absolute Minimum Every Software Developer Absolutely, Positively Must Know About Unicode and Character Sets: http://www.joelonsoftware.com/articles/Unicode.html
- [ ] What Every Programmer Absolutely, Positively Needs To Know About Encodings And Character Sets To Work With Text: http://kunststube.net/encoding/
- [ ] **System design**
- https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023
- features sets
@ -1278,8 +1283,10 @@ Some of mine (I already may know answer to but want their opinion or team perspe
- Data School: http://www.dataschool.io/
- [ ] Vector calculus: https://www.youtube.com/watch?v=tDtYAddb4o4
- [ ] **Parallel Programming**
- https://www.coursera.org/learn/parprog1/home/week/1
- [x] **Parallel Programming**
- [x] Coursera (Scala): https://www.coursera.org/learn/parprog1/home/week/1
- [x] Efficient Python for High Performance Parallel Computing: https://www.youtube.com/watch?v=uY85GkaYzBk
- [ ] Discrete math (see videos below)