Merge branch 'master' of https://github.com/avizmarlon/google-interview-university into ptbr-translation
This commit is contained in:
commit
c72dabde2b
2
.gitignore
vendored
2
.gitignore
vendored
@ -1,6 +1,6 @@
|
||||
.idea
|
||||
personal-9894.md
|
||||
|
||||
// Targets Windows & Unix temporary files
|
||||
# Targets Windows & Unix temporary files
|
||||
~$*
|
||||
*~
|
||||
|
15
README.md
15
README.md
@ -129,8 +129,8 @@ If you want to be a reliability engineer or systems engineer, study more from th
|
||||
- [Compilers](#compilers)
|
||||
- [Emacs and vi(m)](#emacs-and-vim)
|
||||
- [Unix command line tools](#unix-command-line-tools)
|
||||
- [Information theory](#information-theory)
|
||||
- [Parity & Hamming Code](#parity--hamming-code)
|
||||
- [Information theory](#information-theory-videos)
|
||||
- [Parity & Hamming Code](#parity--hamming-code-videos)
|
||||
- [Entropy](#entropy)
|
||||
- [Cryptography](#cryptography)
|
||||
- [Compression](#compression)
|
||||
@ -145,7 +145,6 @@ If you want to be a reliability engineer or systems engineer, study more from th
|
||||
- [Locality-Sensitive Hashing](#locality-sensitive-hashing)
|
||||
- [van Emde Boas Trees](#van-emde-boas-trees)
|
||||
- [Augmented Data Structures](#augmented-data-structures)
|
||||
- [N-ary (K-ary, M-ary) trees](#n-ary-k-ary-m-ary-trees)
|
||||
- [Balanced search trees](#balanced-search-trees)
|
||||
- AVL trees
|
||||
- Splay trees
|
||||
@ -160,8 +159,8 @@ If you want to be a reliability engineer or systems engineer, study more from th
|
||||
- [Disjoint Sets & Union Find](#disjoint-sets--union-find)
|
||||
- [Math for Fast Processing](#math-for-fast-processing)
|
||||
- [Treap](#treap)
|
||||
- [Linear Programming](#linear-programming)
|
||||
- [Geometry, Convex hull](#geometry-convex-hull)
|
||||
- [Linear Programming](#linear-programming-videos)
|
||||
- [Geometry, Convex hull](#geometry-convex-hull-videos)
|
||||
- [Discrete math](#discrete-math)
|
||||
- [Machine Learning](#machine-learning)
|
||||
- [Additional Detail on Some Subjects](#additional-detail-on-some-subjects)
|
||||
@ -1273,7 +1272,7 @@ You'll get more graph practice in Skiena's book (see Books section below) and th
|
||||
- [ ] Twitter:
|
||||
- [O'Reilly MySQL CE 2011: Jeremy Cole, "Big and Small Data at @Twitter" (video)](https://www.youtube.com/watch?v=5cKTP36HVgI)
|
||||
- [Timelines at Scale](https://www.infoq.com/presentations/Twitter-Timeline-Scalability)
|
||||
- For even more, see "Mining Massive Datasets" video series in the Video Series section.
|
||||
- For even more, see "Mining Massive Datasets" video series in the [Video Series](#video-series) section.
|
||||
- [ ] Practicing the system design process: Here are some ideas to try working through on paper, each with some documentation on how it was handled in the real world:
|
||||
- review: [The System Design Primer](https://github.com/donnemartin/system-design-primer)
|
||||
- [System Design from HiredInTech](http://www.hiredintech.com/system-design/)
|
||||
@ -1715,7 +1714,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo
|
||||
hashcodes, a Red-Black tree is used.
|
||||
- [ ] [Aduni - Algorithms - Lecture 4 (link jumps to starting point) (video)](https://youtu.be/1W3x0f_RmUo?list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&t=3871)
|
||||
- [ ] [Aduni - Algorithms - Lecture 5 (video)](https://www.youtube.com/watch?v=hm2GHwyKF1o&list=PLFDnELG9dpVxQCxuD-9BSy2E7BWY3t5Sm&index=5)
|
||||
- [ ] [Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree)
|
||||
- [ ] [Red-Black Tree](https://en.wikipedia.org/wiki/Red%E2%80%93black_tree)
|
||||
- [ ] [An Introduction To Binary Search And Red Black Tree](https://www.topcoder.com/community/data-science/data-science-tutorials/an-introduction-to-binary-search-and-red-black-trees/)
|
||||
|
||||
- [ ] **2-3 search trees**
|
||||
@ -1770,7 +1769,7 @@ software engineer, and to be aware of certain technologies and algorithms, so yo
|
||||
- [ ] [For animations and a little more detail](https://en.wikipedia.org/wiki/Skip_list)
|
||||
|
||||
- ### Network Flows
|
||||
- [ ] [Ford-Fulkerson in 5 minutes (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0)
|
||||
- [ ] [Ford-Fulkerson in 5 minutes — Step by step example (video)](https://www.youtube.com/watch?v=Tl90tNtKvxs)
|
||||
- [ ] [Ford-Fulkerson Algorithm (video)](https://www.youtube.com/watch?v=v1VgJmkEJW0)
|
||||
- [ ] [Network Flows (video)](https://www.youtube.com/watch?v=2vhN4Ice5jI)
|
||||
|
||||
|
Loading…
x
Reference in New Issue
Block a user