Search Results for "python text parser"
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Showing 6 open source projects for "python text parser"
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Hydrogen
Run code interactively, inspect data, and plot
Hydrogen is an interactive coding environment that supports Python, R, JavaScript and other Jupyter kernels. Hydrogen was inspired by Bret Victor's ideas about the power of instantaneous feedback and the design of Light Table. Running code inline and in real-time is a more natural way to develop. By bringing the interactive style of Light Table to the rock-solid usability of Atom, Hydrogen makes it easy to write code the way you want to. You also may be interested in our latest project... -
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Free SLOC
Free SLOC counts physical lines of code (SLOC) for many languages
Free SLOC is a lightweight application for counting physical lines of code (NOT logical lines of code 'LLOC') for many format files, as Java, Python, C, C++, HTML,..., as well as comment lines, blank lines and delimiter lines. Use GUI or console mode (type -h in command line to see options). Use double-click right button in tree to open folder or see source file. Source code in Files tab (Kotlin) -
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Pythopad
A free Python source code editor and Notepad replacement for Windows
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4
MuLanPa
transfer text in diverse formats into specific xml parser-trees
MuLanPa is a source-analyser with a configurable parser and may be may be used for several programming-languages. Its xml-output should be used for tools like project-browsers or code-viewers like moritz (www.sourceforge.net/projects/moritz/) . -
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DirDiff
Python 2.7 script, analyzing 2 directories for differences.HTML output
Comparing two different versions of a directory with text files of any kind has never been easier. Detects deleted files, new files, files with changed name but same content and of course a side-by-side / line-by-line comparison of changed files. Number of context-lines is configurable. Here's, how to call it: >python DirDiff.py dir1 dir2 output.html or >python.exe DirDiff.py -l 3 -v olddir newdir dirdiff.html -l is the number of context lines in the side-by-side comparison. -v... -
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OOPSGen
Object Oriented Parser Generator
The goal of this project is to create a simple and easy to use parser generator that will accept a textual grammar file as an input and output modularized classes representing a limited parser interface. Long term goals include a robust grammar file syntax, output suitable for multiple programming languages, and tools for better integrating compiler functionality, parse tree manipulation, and FSM based scanner generation.
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