51:47dynamic programmingLecture
Lecture 19: Dynamic Programming I: Fibonacci, Shortest Paths
MIT OpenCourseWare
4 HN recommenders
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- Category: Mathematics & Theoretical CS
Results for “data”
80 videos51:47
24:02coding interviewsDemo
How to: Work at Google — Example Coding/Engineering Interview
Life at Google
2 HN recommenders
17:50
5:50
26:33
1:04:00c++ data structuresTalk
CppCon 2015: Sean Parent "Better Code: Data Structures"
CppCon
3 HN recommenders
46:06graph databasesTalk
Lower Latency Graph Queries in Cypher with Redis GraphRoi Lipman, Redis LabsTim Davis, Texas A&M U
Redis
3 HN recommenders
14:28procedural generation algorithmsExplainer
Superpositions, Sudoku, the Wave Function Collapse algorithm.
Martin Donald
3 HN recommenders
1:00:17floating-point string conversionTalk
Stephan T. Lavavej “Floating-Point ＜charconv＞: Making Your Code 10x Faster With C++17's Final Boss”
CppCon
3 HN recommenders
11:48statistics for programmersTalk
John Rauser keynote: "Statistics Without the Agonizing Pain" -- Strata + Hadoop 2014
O'Reilly
3 HN recommenders
17:58
1:04:30lucene internalsTalk
What is in a Lucene index? Adrien Grand, Software Engineer, Elasticsearch
LuceneSolrRevolution
3 HN recommenders
20:08fast inverse square rootExplainer
Fast Inverse Square Root — A Quake III Algorithm
Nemean
3 HN recommenders
1:10:10
1:20:11
1:11
1:47:35cache replacement algorithmsTalk
Bryan Cantrill on ARC: A Self-Tuning, Low Overhead Replacement Cache [PWL SF] 10/2017
PapersWeLove
3 HN recommenders
26:48algorithmic gerrymanderingExplainer
Algorithmic Redistricting: Elections made-to-order
AlphaPhoenix
2 HN recommenders
17:51measuring land areaExplainer
Does "land area" assume a country is perfectly flat?
Stand-up Maths
3 HN recommenders
54:44
12:20
30:37array programming treesTalk
High-performance Tree Wrangling, the APL Way // Aaron Hsu // Dyalog '18
Dyalog User Meetings
3 HN recommenders
47:52
56:03Sources and selection
A good mathematical explanation makes the reasoning visible. This section collects videos on mathematics and theoretical computer science, including algorithms, complexity, probability and visual approaches to difficult ideas. It is for learners building foundations as well as programmers looking for the theory behind a familiar technique.
Indie Picks is organized from video metadata and uploader descriptions; it is not a full-video editorial review. HN Library retains community discussions. Sources and data notes