sephra1,github

kaleidokards

A sample application explaining blockchain and the Kaleido platform

master-thesis-bayesiancnn

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

metamask-extension

:globe_with_meridians: :electric_plug: The MetaMask browser extension enables browsing Ethereum blockchain enabled websites.

meteor-ionic

Ionic components for Meteor. No Angular!

newspaper

News, full-text, and article metadata extraction in Python 3. Advanced docs:

newtonvr

A virtual reality interaction system for unity based on physics.

node-quickbooks

nodejs client for Intuit's Quickbooks API

nvm-windows

A node.js version management utility for Windows. Ironically written in Go.

oauth-jsclient

Intuit's NodeJS OAuth client provides a set of methods to make it easier to work with OAuth2.0 and Open ID

online-rental-property-manager

Manage your rental properties, units, applications, leases and tenants.

openlaw-api-tutorial-public

OpenLaw API Tutorial to accompany Medium post

pattern

An example end-to-end Plaid integration to create items and fetch transaction data

petrophysics

A python package with useful functions for well log interpretation.

pycatchmod

A Cython implementation of the rainfall runoff model CATCHMOD (Wilby, 1994)

python-cookbook

Code samples from the "Python Cookbook, 3rd Edition", published by O'Reilly & Associates, May, 2013.

python-goose

Html Content / Article Extractor, web scrapping lib in Python

python-hydrology-tools

:droplet: This repository holds a list of open source Python packages interesting to Hydrologists

python-practical-application-on-climate-variability-studies

This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.

python-quickbooks

A Python library for accessing the Quickbooks API.

pythonnet

Python for .NET is a package that gives Python programmers nearly seamless integration with the .NET Common Language Runtime (CLR) and provides a powerful application scripting tool for .NET developers.

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