Pinned Repositories
coredata-bit-me
NSConference blitz talk
folklore
Downloading, parse and reformat the folklore.org website content
iperf-ios
iPerf 3 library and app for iOS
Snapshot
Snapshot an iOS app screen and convert it into a PSD file
unifi-pi-hole
A Pi-hole equivalent for the Unifi Security Gateway
xcode-tools
Various xcode build, localization and iPhone-related scripts
ndfred's Repositories
ndfred/iperf-ios
iPerf 3 library and app for iOS
ndfred/xcode-tools
Various xcode build, localization and iPhone-related scripts
ndfred/unifi-pi-hole
A Pi-hole equivalent for the Unifi Security Gateway
ndfred/folklore
Downloading, parse and reformat the folklore.org website content
ndfred/Snapshot
Snapshot an iOS app screen and convert it into a PSD file
ndfred/coredata-bit-me
NSConference blitz talk
ndfred/Markdown-Formatter
Simple Makefile to automatically process files through Markdown and SmartyPants
ndfred/python-pdfkit
Python bindings to Apple's PDF Kit framework
ndfred/bits
NSURCache as an offline store demo project
ndfred/html5forwebdesigners-downloader
Download the HTML5 For Web Designers book source code to study it
ndfred/CAD_Factor_Regression_Analysis
A limitation of the factor regression available on portfoliovisualizer.com is that it does not take FX into account. To address this, I have developed a python module that considers the CAD:USD data when performing a regression analysis on securities listed on the Toronto Stock Exchange (TSX). For Canadian Equities listed on the TSX run CDN_listed_CDN_Equity.py. For US Equities listed on the TSX run CDN_listed_US_Equity.py. US equities are analyzed using the Fama-French 5 factor model using the daily data. Canadian equities are analyzed using AQR data for MKT-RF, SMB, HML(FF), QMJ, and UMD (FF data not available for Canada). For comparative purposes, the file US_listed_US_Equity replicates the results from portfoliovisualizer.com for US listed US Equities analyzed using the FF 5-factor model with daily data. X, Custom_start_date, and Custom_end_date can be modified as required by the user. If the user does not wish to enter a custom start or end date, a value of zero will use the longest dataset possible. Prior to running the scripts, the following lines of code must be executed if their respective packages have yet to be installed: pip install pandas pip install numpy pip install DateTime pip install statsmodels pip install urllib3 pip install zipfile37 pip install investpy pip install yfinance Prior to running the CDN_listed_CDN_Equity.py script for the first time, run importAQR_QMJ.py to download the AQR dataset onto the local hard drive. Once the dataset is downloaded, the importAQR_QMJ.py script is not required to be executed unless updated data is required.
ndfred/home-assistant.io
:blue_book: Home Assistant User documentation
ndfred/ofxstatement-revolut
ofxstatement plugin for parsing Revolut CSV bank statements
ndfred/picsyou
Think Big, Kick Ass and learn Core Graphics
ndfred/sonos_cloud
Sonos cloud API integration for Home Assistant with improved TTS/alerts handling
ndfred/sputnik
A low power ESP32 temperature sensor firmware
ndfred/zigbee-herdsman-converters
Collection of device converters to be used with zigbee-herdsman
ndfred/zigbee2mqtt
Zigbee 🐝 to MQTT bridge 🌉, get rid of your proprietary Zigbee bridges 🔨