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Algorithm Visualizer for IPython/Jupyter Notebook. If you use the display(TracerObject) code from where you want to see, you can use it without any special modification.
Inspired by Grokking Algorithms and python-execution-trace, this project aims to reveal the mechanics behind algorithms via interactive visualizations of their execution. Visual representations of variables and operations augment the control flow, alongside actual source code. You can fast forward and rewind the execution to closely observe how an algorithm works. The same code that is displayed next to the illustration is also decorated using babel-plugin-trace-execution and executed to record the context at every step. ...
...The implementation involves a standalone application which includes a GUI and allows for dynamic visual inspection through 3D rendering. In addition, the NanoCap core libraries can be used in custom Python scripts that enabled the user to produce structures in bulk or to include the structure generation routines into pre-existing code.
...When you call the main subroutine in this module which is called FORTPLOT, it creates a python coded file that you can execute it at any time to get the plots and take a decision about continue the run or halt it. So, with multiple nodes machine you can assign a node for running the python coded file created by the Fortran code to get you data plotted.
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Software oscilloscope using Python and tkinter. Supports multiple sources: socket, file, audio, USB. Displays data by samples, time or frequency. Scales the input automatically or manually. It has been renamed "pdatascope" to avoid a name-clash with Pyscope, a scoping package on PyPi. See https://sourceforge.net/p/pydatascope/ for the latest code.
QuickFlash is a C++-based analysis library for data files generated by the Flash hydrodynamics code. It provides high-performance access to large datasets in low memory situations and other restrictive environments.
METIL is a python-like interpreted or compiled language made for speed and generic programming, as in C++ but with static symbolic computations, type propagation, "for" surdefinition. Object orientation is centered on properties, rather than hierarchy.
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UPDATE: Chromium is no longer updated or maintained. The project is frozen.
Chromium is a flexible framework for scalable real-time rendering on clusters of workstations, derived from the Stanford WireGL project code base.
Matlab/Octave to Python conversion facility. The tool will take existing scripts
and convert them to Python. Also includes Python bindings to Octave and
a small runtime support library. Built on top of Numeric Python extensions.
NovaGrid is a light spreadsheet made with Python / Tkinter, based on Tktable. The objective of this project is to have a light spreasheet python object which can be used into larger projects.
The code is totaly written in Python (actualy 2.2.2).