Reorganized some of the additional learning areas.
This commit is contained in:
John Washam
parent
981347d4c8
commit
76f8548717
193
README.md
193
README.md
|
|
@ -791,20 +791,6 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
|
|||
- [x] MIT 6.004 L15: The Memory Hierarchy: https://www.youtube.com/watch?v=vjYF_fAZI5E&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-&index=24
|
||||
- [x] MIT 6.004 L16: Cache Issues: https://www.youtube.com/watch?v=ajgC3-pyGlk&index=25&list=PLrRW1w6CGAcXbMtDFj205vALOGmiRc82-
|
||||
|
||||
- [ ] **Design patterns**
|
||||
- [ ] CS164 Lecture 3 Design Patterns: https://youtu.be/mym5m-GKG0Q?t=660
|
||||
- description:
|
||||
- https://www.lynda.com/Developer-Programming-Foundations-tutorials/Foundations-Programming-Design-Patterns/135365-2.html
|
||||
- Patterns: https://www.youtube.com/playlist?list=PLF206E906175C7E07
|
||||
- UML: https://www.youtube.com/playlist?list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc
|
||||
- [ ] strategy
|
||||
- [ ] singleton
|
||||
- [ ] adapter
|
||||
- [ ] prototype
|
||||
- [ ] decorator
|
||||
- [ ] visitor
|
||||
- [ ] factory
|
||||
|
||||
- [ ] **Operating Systems (25 videos):**
|
||||
- Computer Science 162: https://www.youtube.com/watch?v=-KWd_eQYLwY&index=2&list=PL-XXv-cvA_iBDyz-ba4yDskqMDY6A1w_c
|
||||
- https://www.quora.com/What-is-the-difference-between-a-process-and-a-thread
|
||||
|
|
@ -836,13 +822,52 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
|
|||
- [ ] David Beazley - Python Concurrency From the Ground Up: LIVE! - PyCon 2015: https://www.youtube.com/watch?v=MCs5OvhV9S4
|
||||
- [ ] Keynote David Beazley - Topics of Interest (Python Asyncio): https://www.youtube.com/watch?v=ZzfHjytDceU
|
||||
|
||||
- [ ] **Scale & Data Handling:**
|
||||
- see **Scalability** section below and **Papers**
|
||||
- [ ] **Scalability & Data Handling:**
|
||||
- Distill large data sets to single values
|
||||
- Transform one data set to another
|
||||
- Handling obscenely large amounts of data
|
||||
- [ ] https://www.youtube.com/watch?v=9nWyWwY2Onc
|
||||
- [ ] https://www.youtube.com/watch?v=H4vMcD7zKM0
|
||||
- [ ] Articles:
|
||||
- [ ] https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/
|
||||
- [ ] http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html
|
||||
- [ ] http://highscalability.com/blog/2016/4/4/how-to-remove-duplicates-in-a-large-dataset-reducing-memory.html
|
||||
- [ ] http://highscalability.com/blog/2016/3/23/what-does-etsys-architecture-look-like-today.html
|
||||
- [ ] http://highscalability.com/blog/2016/3/21/to-compress-or-not-to-compress-that-was-ubers-question.html
|
||||
- [ ] http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html
|
||||
- [ ] http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html
|
||||
- [ ] http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html
|
||||
- [ ] http://highscalability.com/blog/2016/2/15/egnyte-architecture-lessons-learned-in-building-and-scaling.html
|
||||
- [ ] http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html
|
||||
- [ ] http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html
|
||||
- [ ] http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html
|
||||
- [ ] http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html
|
||||
- [ ] http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html
|
||||
- [ ] http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html
|
||||
- [ ] http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html
|
||||
- [ ] http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html
|
||||
- [ ] http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it
|
||||
|
||||
- [ ] **About Google**:
|
||||
- [ ] How Search Works:
|
||||
- [ ] https://www.google.com/insidesearch/howsearchworks/thestory/
|
||||
- [ ] https://www.youtube.com/watch?v=BNHR6IQJGZs
|
||||
- [ ] https://www.google.com/insidesearch/howsearchworks/
|
||||
- [ ] Series:
|
||||
- [x] https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9
|
||||
- [ ] https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf
|
||||
- [ ] https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523
|
||||
- [ ] https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a
|
||||
|
||||
- [ ] **Papers**:
|
||||
- [ ] 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
|
||||
- [ ] TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems: http://download.tensorflow.org/paper/whitepaper2015.pdf
|
||||
- [ ] How Developers Search for Code: A Case Study http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf
|
||||
- [ ] Borg, Omega, and Kubernetes: http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf
|
||||
- [ ] Continuous Pipelines at Google: http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf
|
||||
- [ ] AddressSanitizer: A Fast Address Sanity Checker http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf
|
||||
- [ ] Computing Weak Consistency in Polynomial Time: http://dl.acm.org/ft_gateway.cfm?id=2767407&ftid=1607485&dwn=1&CFID=627637486&CFTOKEN=49290244
|
||||
|
||||
- [ ] **System design**
|
||||
- https://www.quora.com/How-do-I-prepare-to-answer-design-questions-in-a-technical-interview?redirected_qid=1500023
|
||||
|
|
@ -913,8 +938,23 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
|
|||
- what is integration testing
|
||||
- what is dependency injection
|
||||
|
||||
- [ ] **Design patterns**
|
||||
- [ ] CS164 Lecture 3 Design Patterns: https://youtu.be/mym5m-GKG0Q?t=660
|
||||
- description:
|
||||
- https://www.lynda.com/Developer-Programming-Foundations-tutorials/Foundations-Programming-Design-Patterns/135365-2.html
|
||||
- Patterns: https://www.youtube.com/playlist?list=PLF206E906175C7E07
|
||||
- UML: https://www.youtube.com/playlist?list=PLGLfVvz_LVvQ5G-LdJ8RLqe-ndo7QITYc
|
||||
- [ ] strategy
|
||||
- [ ] singleton
|
||||
- [ ] adapter
|
||||
- [ ] prototype
|
||||
- [ ] decorator
|
||||
- [ ] visitor
|
||||
- [ ] factory
|
||||
|
||||
- [ ] **Scheduling**
|
||||
- in an OS, how it works
|
||||
- can be gleaned from Operating System videos
|
||||
|
||||
- [ ] **Implement system routines**
|
||||
- understand what lies beneath the programming APIs you use
|
||||
|
|
@ -991,65 +1031,6 @@ If you have time:
|
|||
- all code is in C++, if you're looking to use C++ in your interview
|
||||
- good book on problem solving in general.
|
||||
|
||||
## About Google
|
||||
|
||||
- [ ] How Search Works:
|
||||
- [ ] https://www.google.com/insidesearch/howsearchworks/thestory/
|
||||
- [ ] https://www.youtube.com/watch?v=BNHR6IQJGZs
|
||||
- [ ] https://www.google.com/insidesearch/howsearchworks/
|
||||
- [ ] Series:
|
||||
- [x] https://backchannel.com/how-google-search-dealt-with-mobile-33bc09852dc9
|
||||
- [ ] https://backchannel.com/googles-secret-study-to-find-out-our-needs-eba8700263bf
|
||||
- [ ] https://backchannel.com/google-search-will-be-your-next-brain-5207c26e4523
|
||||
- [ ] https://backchannel.com/the-deep-mind-of-demis-hassabis-156112890d8a
|
||||
|
||||
## Scalability Articles
|
||||
|
||||
- [ ] https://www.topcoder.com/community/data-science/data-science-tutorials/the-importance-of-algorithms/
|
||||
- [ ] http://highscalability.com/blog/2012/3/26/7-years-of-youtube-scalability-lessons-in-30-minutes.html
|
||||
- [ ] http://highscalability.com/blog/2016/4/4/how-to-remove-duplicates-in-a-large-dataset-reducing-memory.html
|
||||
- [ ] http://highscalability.com/blog/2016/3/23/what-does-etsys-architecture-look-like-today.html
|
||||
- [ ] http://highscalability.com/blog/2016/3/21/to-compress-or-not-to-compress-that-was-ubers-question.html
|
||||
- [ ] http://highscalability.com/blog/2016/3/3/asyncio-tarantool-queue-get-in-the-queue.html
|
||||
- [ ] http://highscalability.com/blog/2016/2/25/when-should-approximate-query-processing-be-used.html
|
||||
- [ ] http://highscalability.com/blog/2016/2/23/googles-transition-from-single-datacenter-to-failover-to-a-n.html
|
||||
- [ ] http://highscalability.com/blog/2016/2/15/egnyte-architecture-lessons-learned-in-building-and-scaling.html
|
||||
- [ ] http://highscalability.com/blog/2016/2/1/a-patreon-architecture-short.html
|
||||
- [ ] http://highscalability.com/blog/2016/1/27/tinder-how-does-one-of-the-largest-recommendation-engines-de.html
|
||||
- [ ] http://highscalability.com/blog/2016/1/25/design-of-a-modern-cache.html
|
||||
- [ ] http://highscalability.com/blog/2016/1/13/live-video-streaming-at-facebook-scale.html
|
||||
- [ ] http://highscalability.com/blog/2016/1/11/a-beginners-guide-to-scaling-to-11-million-users-on-amazons.html
|
||||
- [ ] http://highscalability.com/blog/2015/12/16/how-does-the-use-of-docker-effect-latency.html
|
||||
- [ ] http://highscalability.com/blog/2015/12/14/does-amp-counter-an-existential-threat-to-google.html
|
||||
- [ ] http://highscalability.com/blog/2015/11/9/a-360-degree-view-of-the-entire-netflix-stack.html
|
||||
- [ ] http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it
|
||||
|
||||
## Papers:
|
||||
|
||||
- [ ] 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
|
||||
|
||||
- [ ] TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
|
||||
- http://download.tensorflow.org/paper/whitepaper2015.pdf
|
||||
|
||||
- [ ] How Developers Search for Code: A Case Study
|
||||
- http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43835.pdf
|
||||
|
||||
- [ ] Borg, Omega, and Kubernetes
|
||||
- http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/44843.pdf
|
||||
|
||||
- [ ] Continuous Pipelines at Google
|
||||
- http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43790.pdf
|
||||
|
||||
- [ ] AddressSanitizer: A Fast Address Sanity Checker
|
||||
- http://static.googleusercontent.com/media/research.google.com/en//pubs/archive/37752.pdf
|
||||
|
||||
- [ ] Computing Weak Consistency in Polynomial Time
|
||||
- http://dl.acm.org/ft_gateway.cfm?id=2767407&ftid=1607485&dwn=1&CFID=627637486&CFTOKEN=49290244
|
||||
|
||||
## Coding exercises/challenges:
|
||||
|
||||
Once you've learned your brains out, put those brains to work.
|
||||
|
|
@ -1128,10 +1109,38 @@ Some of mine (I already may know answer to but want their opinion or team perspe
|
|||
Everything below is my recommendation, not Google's, and you may not have enough time to
|
||||
learn, watch or read them all. That's ok. I may not either.
|
||||
|
||||
- [x] **Information theory**
|
||||
- [x] Khan Academy: https://www.khanacademy.org/computing/computer-science/informationtheory
|
||||
- [x] more about Markov processes:
|
||||
- [x] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation
|
||||
- [x] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation
|
||||
- [x] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through
|
||||
- See more in MIT 6.050J Information and Entropy series below.
|
||||
|
||||
- [x] **Parity & Hamming Code**
|
||||
- [x] Intro: https://www.youtube.com/watch?v=q-3BctoUpHE
|
||||
- [x] Parity: https://www.youtube.com/watch?v=DdMcAUlxh1M
|
||||
- [x] Hamming Code:
|
||||
- Error detection: https://www.youtube.com/watch?v=1A_NcXxdoCc
|
||||
- Error correction: https://www.youtube.com/watch?v=JAMLuxdHH8o
|
||||
- [x] Error Checking:
|
||||
- https://www.youtube.com/watch?v=wbH2VxzmoZk
|
||||
|
||||
- [ ] **Entropy** (see videos below)
|
||||
- https://www.youtube.com/watch?v=phxsQrZQupo&index=1&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7
|
||||
|
||||
- [ ] **Cryptography** (also see videos below)
|
||||
- [ ] Khan Academy Series: https://www.khanacademy.org/computing/computer-science/cryptography
|
||||
- [ ] Cryptography: Hash Functions: https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30
|
||||
- [ ] Cryptography: Encryptiom: https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
|
||||
|
||||
- [ ] **Compression**
|
||||
- [ ] Compressor Head videos: https://www.youtube.com/playlist?list=PLOU2XLYxmsIJGErt5rrCqaSGTMyyqNt2H
|
||||
- [ ] https://www.youtube.com/watch?v=mM9m9uDlHno&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7&index=2
|
||||
|
||||
- [ ] **Computer Security**
|
||||
- MIT (23 videos): https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh
|
||||
|
||||
- [ ] **Augmented Data Structures**
|
||||
- [ ] CS 61B Lecture 39: Augmenting Data Structures: https://www.youtube.com/watch?v=zksIj9O8_jc&list=PL4BBB74C7D2A1049C&index=39
|
||||
|
||||
|
|
@ -1170,35 +1179,12 @@ Some of mine (I already may know answer to but want their opinion or team perspe
|
|||
- [ ] Divide & Conquer: FFT: https://www.youtube.com/watch?v=iTMn0Kt18tg&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=4
|
||||
- [ ] http://jakevdp.github.io/blog/2013/08/28/understanding-the-fft/
|
||||
|
||||
- [ ] Integer Arithmetic, Karatsuba Multiplication: https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
|
||||
- [ ] **Integer Arithmetic, Karatsuba Multiplication:**
|
||||
- [ ] https://www.youtube.com/watch?v=eCaXlAaN2uE&index=11&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb
|
||||
|
||||
- [ ] **Treap**
|
||||
- [ ] ?
|
||||
|
||||
- [x] **Parity & Hamming Code**
|
||||
- [x] Intro: https://www.youtube.com/watch?v=q-3BctoUpHE
|
||||
- [x] Parity: https://www.youtube.com/watch?v=DdMcAUlxh1M
|
||||
- [x] Hamming Code:
|
||||
- Error detection: https://www.youtube.com/watch?v=1A_NcXxdoCc
|
||||
- Error correction: https://www.youtube.com/watch?v=JAMLuxdHH8o
|
||||
- [x] Error Checking:
|
||||
- https://www.youtube.com/watch?v=wbH2VxzmoZk
|
||||
|
||||
- [ ] **Computer Security**
|
||||
- MIT (23 videos): https://www.youtube.com/playlist?list=PLUl4u3cNGP62K2DjQLRxDNRi0z2IRWnNh
|
||||
|
||||
- [ ] **Information theory**
|
||||
- [x] Khan Academy: https://www.khanacademy.org/computing/computer-science/informationtheory
|
||||
- [ ] more about Markov processes:
|
||||
- [ ] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation
|
||||
- [ ] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation
|
||||
- See more in MIT 6.050J Information and Entropy series below.
|
||||
|
||||
- [ ] **Markov text generation**
|
||||
- [ ] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/waxgx/core-markov-text-generation
|
||||
- [ ] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/gZhiC/core-implementing-markov-text-generation
|
||||
- [ ] https://www.coursera.org/learn/data-structures-optimizing-performance/lecture/EUjrq/project-markov-text-generation-walk-through
|
||||
|
||||
- [ ] **Bloom Filter**
|
||||
- https://www.youtube.com/watch?v=-SuTGoFYjZs
|
||||
- http://blog.michaelschmatz.com/2016/04/11/how-to-write-a-bloom-filter-cpp/
|
||||
|
|
@ -1220,13 +1206,6 @@ Some of mine (I already may know answer to but want their opinion or team perspe
|
|||
|
||||
- [ ] **Parallel Programming**
|
||||
- https://www.coursera.org/learn/parprog1/home/week/1
|
||||
|
||||
- [ ] Cryptography (also see videos below)
|
||||
- [ ] Cryptography: Hash Functions: https://www.youtube.com/watch?v=KqqOXndnvic&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp&index=30
|
||||
- [ ] Cryptography: Encryptiom: https://www.youtube.com/watch?v=9TNI2wHmaeI&index=31&list=PLUl4u3cNGP6317WaSNfmCvGym2ucw3oGp
|
||||
|
||||
- [ ] Entropy (see videos below)
|
||||
- https://www.youtube.com/watch?v=phxsQrZQupo&index=1&list=PL_2Bwul6T-A7OldmhGODImZL8KEVE38X7
|
||||
|
||||
- [ ] Discrete math (see videos below)
|
||||
|
||||
|
|
|
|||
Loading…
Reference in New Issue