Developer Profile

mjmeintjes

Discovered public repositories for mjmeintjes in the GitHub catalog.

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mjmeintjes/ebooklib

Python E-book library for handling books in EPUB2/EPUB3 and Kindle format -

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A Sublime Text 2 plugin that uses Pandoc to convert text from one markup format into another. Pandoc can convert documents in Markdown, reStructuredText, Textile, HTML, DocBook, or LaTeX to XHTML, HTML5, HTML slide shows using Slidy, Slideous, S5, or DZSlides, Microsoft Word docx, OpenOffice/LibreOffice ODT, OpenDocument XML, EPUB, DocBook, GNU TexInfo, Groff man pages, LaTeX, ConTeXt, LaTeX Beamer slides, PDF via LaTeX, Markdown, reStructuredText, AsciiDoc, MediaWiki markup, Emacs Org-Mode, and Textile.

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mjmeintjes/tlbtools

Tools to support TLB

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mjmeintjes/cookiecutter-pypackage

Cookiecutter template for a Python package. See https://github.com/audreyr/cookiecutter.

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mjmeintjes/chef-base_development

Public repository.

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mjmeintjes/python_development

Public repository.

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mjmeintjes/dokku

Docker powered mini-Heroku in around 100 lines of Bash

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mjmeintjes/dokku-chef-support

Adds chef support to dokku

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mjmeintjes/dokku-supervisord

Use supervisord as the runner within dokku

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mjmeintjes/plivo-php

Plivo PHP Helper Library

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mjmeintjes/browshot-php

PHP library for Browshot API

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mjmeintjes/Search-Replace-DB

A PHP search replace tool for quickly modifying a string throughout a database. Useful for changing the base URL when migrating a WordPress site from development to production.

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mjmeintjes/wordpress-jquerymobile

Public repository.

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mjmeintjes/iptables

Development repository for Opscode Cookbook iptables

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mjmeintjes/WordPress-Skeleton

Basic layout of a WordPress Git repository. I use this as a base when creating a new repo.

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mjmeintjes/ironfan-pantry

Battle-hardened Ironfan-ready big data chef cookbooks, laden with best practices and love from your friends at Infochimps - forked to add name to runit

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mjmeintjes/sentiment_analysis_presentation

Sentiment Analysis using NLTK - NZPUG presentation

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mjmeintjes/expsuite

PyExperimentSuite is an open source software tool written in Python, that supports scientists, engineers and others to conduct automated software experiments on a larger scale with numerous different parameters. It reads parameters (or ranges of parameters) from a configuration file, runs the experiments using multiple cores if desired and logs the results in files. Parameter combinations can be evaluated as a grid (each combination of parameters) or in a list (try several defined parameter combinations in row). PyExperimentSuite also supports continuing any experiments where left off when the execution was interrupted (e.g. power failure, process was killed, etc.). The experiment results can be obtained in different ways by a built-in Python interface.

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