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Minimal examples of data structures and algorithms in Python
The Pythonic Data Structures and Algorithms repository by keon is a hands-on collection of implementations of classical data structures and algorithms written in Python. It offers working, often well-commented code for many standard algorithmic problems — from sorting/searching to graph algorithms, dynamic programming, data structures, and more — making it a valuable resource for learning and reference. For students preparing for technical interviews, self-learners brushing up on...
the package chewingum contains two main programs:
- base62
- chew
They have been implemented in perl.
Base62 has been coded in c++ too.
chew has been written to shorten long decimal integer numbers into base62 strings.
It's not a mere base conversion, because it doesn't use arithmetic inside its logic.
In this way it can convert very long numbers into strings quickly,
without overflows.
For example if I want to share an id using an url, this will make the url shorter.
the...
IVCon-TL can read and write a variety of 3D graphics file formats, converting from one to the other. Supported formats include 3DS, ASE, BYU, DXF, GMOD, HRC, IV, OBJ, OFF, POV, SMF, STL/STLA/STLB, TEC, TRI/TRIA/TRIB, UCD, VLA, WRL/VRML, XGL and more.
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Regexp testing tool allows to apply group of regexps to huge arrays of data (millions or so) in order to investigate search or search/replacement possibilities of regexp group.
op4j is a developer happiness tool. Its aim is to reduce the amount of similar lines of code needed to do every day tasks in our code by providing an operator chaining tool to perform easy iterations on lists, OGNL evaluation, data type conversion...