cothrun + python   666

Leo's Home Page
"Leo is a revolutionary step in the right direction for programming."―Brian Takita
"Leo is the best IDE that I have had the pleasure to use. It has totally changed not only the way that I program, but also the way that I store and organize all of the information that I need for the job that I do."―Ian Mulvany
"When first I opened Leo, it was out of curiosity. But having used it, I'll never go back. They'll have to pry Leo out of my cold, dead fingers!"―Travers A. Hough
Leo is a PIM, IDE and outliner that accelerates the work flow of programmers, authors and web designers. Outline nodes may appear in more than one place, allowing multiple organizations of data within a single outline.
python  editor 
yesterday by cothrun
Machine Learning for Drummers
TL;DR: In this post, I build an app that classifies whether an audio sample is a kick drum, snare drum, or other drum sample with 87% accuracy using 🎉machine learning.
machinelearning  music  python  drums 
14 days ago by cothrun
The Federalist Papers: Author Identification Through K-Means Clustering - JonLuca's Blog
My goal is to recreate the results found by Mosteller and Wallace through modern statistical methods - namely K-Means clustering and TFIDF.
python  nlp  statistics 
5 weeks ago by cothrun
Robot Framework
Robot Framework is a generic test automation framework for acceptance testing and acceptance test-driven development (ATDD). It has easy-to-use tabular test data syntax and it utilizes the keyword-driven testing approach. Its testing capabilities can be extended by test libraries implemented either with Python or Java, and users can create new higher-level keywords from existing ones using the same syntax that is used for creating test cases.
python  testing  framework  automation 
7 weeks ago by cothrun
The Book
"Test-Driven Web Development with Python" aims to teach TDD for web programming. It uses a concrete example -- the development of a website, from scratch -- to explain the TDD metholology and how it applies to building web applications. It covers the Selenium browser-automation tool, unit testing, mocking, and interacting with Web technologies from the basics of static content, database integration, throught the inescapable JavaScript, and onto more advanced (and trendy) topics like NoSQL, websockets and Async programming.
tdd  python  django  testing  book 
7 weeks ago by cothrun
StringDist · PyPI
This package provides the stringdist module, which includes functions for calculating raw and normalized versions of the following string distance measurements:

Levenshtein distance
Restricted Damerau-Levenshtein distance (a.k.a. optimal string alignment distance)
python  string  diff  comparison 
8 weeks ago by cothrun
7.4. difflib — Helpers for computing deltas — Python 2.7.15 documentation
This module provides classes and functions for comparing sequences. It can be used for example, for comparing files, and can produce difference information in various formats, including HTML and context and unified diffs. For comparing directories and files, see also, the filecmp module.
python  library  diff 
8 weeks ago by cothrun
Gridarrow - Connect your data to Excel with Python
Connect your data to Excel with Python
Gridarrow is the missing server for Excel. We host and run Python scripts that connect to your data and send it to Excel in real-time. Create live dashboards and reports with the tool that everyone knows.
python  excel  datascience 
12 weeks ago by cothrun
Announcing glom: Restructured Data for Python — Sedimental
Python's missing operator for nested objects and data.
python  data  json 
may 2018 by cothrun
Shogun Machine Learning - Home
Shogun is and open-source machine learning library that offers a wide range of efficient and unified machine learning methods.
python  c#  c++  machinelearning  ai  bayes 
april 2018 by cothrun
101 NumPy Exercises for Data Analysis (Python) - Machine Learning Plus
The goal of the numpy exercises is to serve as a reference as well as to get you to apply numpy beyond the basics.
numpy  python  exercises  datascience 
february 2018 by cothrun
numpy-100/100 Numpy exercises.md at master · rougier/numpy-100
This is a collection of exercises that have been collected in the numpy mailing list, on stack overflow and in the numpy documentation. The goal of this collection is to offer a quick reference for both old and new users but also to provide a set of exercices for those who teach.
numpy  python  exercises 
february 2018 by cothrun
Toapi
Toapi is a clever, simple and fast library letting any web site provide APIs. In the past, we would crawl a website and store the data to build an API around it. What's more we then had to manage updating the data.

This library make things easy. The only thing you need to do is defining your data structures that will be shared as an api service automatically.
python  api  library  crawler 
january 2018 by cothrun
norvig/pytudes: Python programs to practice or demonstrate skills.
"An étude (a French word meaning study) is an instrumental musical composition, usually short, of considerable difficulty, and designed to provide practice material for perfecting a particular musical skill." — Wikipedia

This project contains pytudes—Python programs for perfecting programming skills.

Some are in Jupyter (IPython) notebooks, some in .py files. You can view the files here, or clone the project, or run the notebooks online by clicking this button:
python  learning  exercises 
december 2017 by cothrun
GitHub - ikreymer/pywb: Python WayBack for web archive replay and url-rewriting HTTP/S web proxy
pywb is a Python (2 and 3) web archiving toolkit for replaying web archives large and small as accurately as possible. The toolkit now also includes new features for creating high-fidelity web archives.

This toolset forms the foundation of Webrecorder project, but also provides a generic web archiving toolkit that is used by other web archives, including the traditional "Wayback Machine" functionality.
python  warc  archive  webarchive 
november 2017 by cothrun
Pyro
Beneath the built-in inference algorithms, Pyro has a library of flexible primitives for creating new inference algorithms and working with probabilistic programs.
python  machinelearning 
november 2017 by cothrun
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