Search Results for "best python programming projects"

...This release contains several program corrections and additions obtained by writing a programming "notebook" of the book 'Lectures on Elementary Number Theory' (TAKAGI, Teiji) in Python-NZMATH language. The "notebook" is available together. It is designed for beginning students of algorithmic number theory to self-study Number Theory, Programming and scientific English together, three-birds-one learning material. It is possible only by running and reading the programs. ...

Pootle is written in Python using the Django framework and therefore can be installed on any web server that supports serving WSGI applications. Key localization file formats are supported, including Gettext PO, XLIFF, Java .properties, PHP arrays and many more supported by the Translate Toolkit. Ensures the best quality localizations by automatically detecting common errors made by translators.

ECEbuntu is a customized operating system designed for electrical and computer engineering (ECE) students. ECEbuntu is targeted to universities and students as it represents an environment that contains more than 30 pre-installed software and packages all catering to undergraduate course-work in ECE. ECEbuntu supports a range of tools including programming tools, tools for circuit analysis and pcb design, mathematical and numerical analysis tools, network analysis and tools for microwave and...

UPDATE: After some bug fixes, I've ditched Pysimony for Javamony: https://sourceforge.net/projects/javamony/ Given Python's beauty, I know that someday I will have to finish Pysimony. A student's first attempt at a phylogenetic inference program, written in the simplistic yet elegant Python. Pysimony reads a FASTA file (only ATGC accepted) specified as its only argument. Basic testing has shown that it is slow, inaccurate and most definitely inefficient.

Protein ALignment Optimiser (PALO) is a script for the selection and alignment of the best combination of transcripts among orthologous genes. PALO is mainly written in Python, although other programming languages are also implemented (R, Perl...).

This project includes a set of tools and guidelines designed for rapid production of large-scale embedded systems projects. The tools enable quick generation of reusable, reconfigurable hardware, using a user-specified hardware description language.