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Compression of floating point timeseries
I recently had cause to investigate fast methods of storing and transferring financial timeseries. Naively, timeseries can be represented in memory or on disk as simple dense arrays of floating point numbers. This is an attractive representation with many nice properties: Straightforward and widely used. You have random access to the nth element of the timeseries with no further indexes required.
Datastructures for external memory
Something I recently became interested in is map data structures for external memory — i.e. ways of storing indexed data that are optimized for storage on disk. In a typical analysis of algorithm time complexity, you assume it takes constant time to access memory or perform a basic CPU operation such as addition. This is of course not wholly accurate: in particular, cache effects mean that memory
Top 10 Algorithms and Data Structures for Competitive Programming - GeeksforGeeks
TutorialsPython TutorialTaking Input in PythonPython OperatorsPython Data TypesPython NumbersPython StringPython ListsPython TuplesSets in PythonPython DictionaryPython Loops and Control FlowPython Conditional StatementsPython LoopsPython FunctionsPython OOPS ConceptPython Data StructuresPython DSALinked ListStackQueueTreeHeapHashingGraphSetsMapAdvance Data StructureSorting AlgorithmsSearching Alg
LMAX Disruptor
LMAX are recruiting once again. If you are interested in working with a great team, with some amazing technology, and think you can add something to the mix then please check out our jobs page. LMAX aims to be the fastest trading platform in the world. Clearly, in order to achieve this we needed to do something special to achieve very low-latency and high-throughput with our Java platform. Perform
Ceres Solver — A Large Scale Non-linear Optimization Library
Ceres Solver¶ Ceres Solver [1] is an open source C++ library for modeling and solving large, complicated optimization problems. It can be used to solve Non-linear Least Squares problems with bounds constraints and general unconstrained optimization problems. It is a mature, feature rich, and performant library that has been used in production at Google since 2010. For more, see Why?. ceres-solver@
Apktool | Apktool
$ apktool d test.apk I: Using Apktool 2.10.0 on test.apk I: Loading resource table... I: Decoding AndroidManifest.xml with resources... I: Loading resource table from file: 1.apk I: Regular manifest package... I: Decoding file-resources... I: Decoding values */* XMLs... I: Baksmaling classes.dex... I: Copying assets and libs... I: Copying unknown files... I: Copying original files... $ apktool b t
Reverse debugging for Python
RevPDB A "reverse debugger" is a debugger where you can go forward and backward in time. It is an uncommon feature, at least in the open source world, but I have no idea why. I have used undodb-gdb and rr, which are reverse debuggers for C code, and I can only say that they saved me many, many days of poking around blindly in gdb. The PyPy team is pleased to give you "RevPDB", a reverse-debugger s
Literate programming: presenting code in human order
Presentation order People best understand computer programs in a different order than compilers do. This is a key idea of literate programming, and one that distinguishes literate programs from heavily commented programs. Traditional source code, no matter how heavily commented, is presented in the order dictated by the compiler. The computer is the primary audience. Literate programming is more h
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