fpcMotif

## drawdowns.ipynb

      
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                8one6
                / drawdowns.ipynb
            
            
              Created
              January 19, 2014 15:36
            
              
                A review of various functions for computing drawdowns and rolling drawdowns of a given 1-d data structure (numpy array or pandas series).
              
          
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## build-opencv-mavericks.sh
# How to install and verify OpenCV 2.4.9 on OS X Mavericks

# 1. Install opencv from homebrew.  You can do basic opencv things with this

brew tap homebrew/science
brew install opencv --with-ffmpeg --with-java --with-tests --with-qt  # takes a long while

# 2. Download opencv source and build samples since Homebrew doesn't include them.
#    samples are often referred to in how-to guides and books.

## LittleLang.agda
module LittleLang where

open import Data.Bool
open import Data.Nat

data type : Set where
  tNat tBool : type

data exp : type → Set where
  nat  : ℕ → exp tNat

## gist:8536fdb43ed8564689cb
javascript:function htmlreplace(a,b,element){if(!element)element=document.body;var nodes=element.childNodes;for(var n=0;n<nodes.length;n++){if(nodes[n].nodeType==Node.TEXT_NODE){nodes[n].textContent=nodes[n].textContent.replace(new RegExp(a,'gi'),b);}else{htmlreplace(a,b,nodes[n]);}}}htmlreplace('IFTTT','');

## fourier.html
<html>
<head>
<script src="//cdnjs.cloudflare.com/ajax/libs/underscore.js/1.4.2/underscore-min.js"></script>
<script src="//ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"></script>
<script src="//cdnjs.cloudflare.com/ajax/libs/modernizr/2.6.2/modernizr.min.js"></script>
<script src="//ajax.cdnjs.com/ajax/libs/json2/20110223/json2.js"></script>

<!--
TODO:

## UbuntuMiner
#!/bin/bash

### Command log to install Cuda Toolkit 6.5, driver 343.22, and ccminer.

## Update the system
sudo apt-get update && sudo apt-get -y dist-upgrade
# All the dependencies for Cuda & ccminer (I think)
sudo apt-get -y install gcc g++ build-essential automake linux-headers-$(uname -r) git gawk libcurl4-openssl-dev libjansson-dev xorg libc++-dev libgmp-dev python-dev


## Install LT4 21.1.md

      
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              19 stars
            
          
                jetsonhacks
                / Install LT4 21.1.md
            
            
              Last active
              January 26, 2024 16:59
            
              
                Install LT4 21.1 on Jetson TK1
              
          
    For best results, you should read through the official NVIDIA documentation found on:
https://developer.nvidia.com/linux-tegra-rel-21
In particular, the Quick Start Guide.
For this process you will need:

A host desktop or laptop computer running Ubuntu Linux 12.04 is officially recommended. In practice, this may be a virtual machine, I have used VirtualBox in the past. Also, I've successfully flashed from Ubuntu Linux 14.04. Your mileage may vary.
Micro USB cable provided with the Jetson TK1 kit
Jetson TK1 and power supply


## installCUDA65.sh
#!/bin/sh
# Fresh install for CUDA 6.5 on Jetson TK1 for Linux for Tegra (L4T) 21.1
# CUDA 6.5 REQUIRES L4T 21.1 !!!
sudo apt-add-repository universe
sudo apt-get update
# This is for L4T r21.1 ; Update for your L4T i.e. r21.3
wget http://developer.download.nvidia.com/compute/cuda/6_5/rel/installers/cuda-repo-l4t-r21.1-6-5-prod_6.5-14_armhf.deb

# Install the CUDA repo metadata that you downloaded
# This is for L4T 21.1 ; Update for your L4T i.e. 21.3

## installCaffe.sh
#!/bin/sh
# Install and compile Caffe on NVIDIA Jetson TK1 Development Kit
sudo add-apt-repository universe
sudo apt-get update
sudo apt-get install libprotobuf-dev protobuf-compiler gfortran \
libboost-dev cmake libleveldb-dev libsnappy-dev \
libboost-thread-dev libboost-system-dev \
libatlas-base-dev libhdf5-serial-dev libgflags-dev \
libgoogle-glog-dev liblmdb-dev -y

## fm
# In my portfolio, I show how the popular Fama-MacBeth (1973) procedure is constructed in R.
# The procedure is used to estimate risk premia and determine the validity of asset pricing models.
# Google shows that the original paper has currently over 9000 citations (Mar 2015), making the methodology one of the most
# influential papers in asset pricing studies. It's used by thousands of finance students each year, but I'm unable to find a
# complete description of it from the web.
#
# While the methodology is not statistically too complex (although the different standard errors can get complex),
# it can pose some serious data management challenges to students and researchers.
#
# The goal of the methodology is to estimate risk premia in the financial markets. While newer, more sophisticated methods for
	# How to install and verify OpenCV 2.4.9 on OS X Mavericks

	# 1. Install opencv from homebrew. You can do basic opencv things with this

	brew tap homebrew/science
	brew install opencv --with-ffmpeg --with-java --with-tests --with-qt # takes a long while

	# 2. Download opencv source and build samples since Homebrew doesn't include them.
	# samples are often referred to in how-to guides and books.
	module LittleLang where

	open import Data.Bool
	open import Data.Nat

	data type : Set where
	tNat tBool : type

	data exp : type → Set where
	nat : ℕ → exp tNat
	<html>
	<head>
	<script src="//cdnjs.cloudflare.com/ajax/libs/underscore.js/1.4.2/underscore-min.js"></script>
	<script src="//ajax.googleapis.com/ajax/libs/jquery/1.8.2/jquery.min.js"></script>
	<script src="//cdnjs.cloudflare.com/ajax/libs/modernizr/2.6.2/modernizr.min.js"></script>
	<script src="//ajax.cdnjs.com/ajax/libs/json2/20110223/json2.js"></script>

	<!--
	TODO:
	#!/bin/bash

	### Command log to install Cuda Toolkit 6.5, driver 343.22, and ccminer.

	## Update the system
	sudo apt-get update && sudo apt-get -y dist-upgrade
	# All the dependencies for Cuda & ccminer (I think)
	sudo apt-get -y install gcc g++ build-essential automake linux-headers-$(uname -r) git gawk libcurl4-openssl-dev libjansson-dev xorg libc++-dev libgmp-dev python-dev
	#!/bin/sh
	# Fresh install for CUDA 6.5 on Jetson TK1 for Linux for Tegra (L4T) 21.1
	# CUDA 6.5 REQUIRES L4T 21.1 !!!
	sudo apt-add-repository universe
	sudo apt-get update
	# This is for L4T r21.1 ; Update for your L4T i.e. r21.3
	wget http://developer.download.nvidia.com/compute/cuda/6_5/rel/installers/cuda-repo-l4t-r21.1-6-5-prod_6.5-14_armhf.deb

	# Install the CUDA repo metadata that you downloaded
	# This is for L4T 21.1 ; Update for your L4T i.e. 21.3
	#!/bin/sh
	# Install and compile Caffe on NVIDIA Jetson TK1 Development Kit
	sudo add-apt-repository universe
	sudo apt-get update
	sudo apt-get install libprotobuf-dev protobuf-compiler gfortran \
	libboost-dev cmake libleveldb-dev libsnappy-dev \
	libboost-thread-dev libboost-system-dev \
	libatlas-base-dev libhdf5-serial-dev libgflags-dev \
	libgoogle-glog-dev liblmdb-dev -y
	# In my portfolio, I show how the popular Fama-MacBeth (1973) procedure is constructed in R.
	# The procedure is used to estimate risk premia and determine the validity of asset pricing models.
	# Google shows that the original paper has currently over 9000 citations (Mar 2015), making the methodology one of the most
	# influential papers in asset pricing studies. It's used by thousands of finance students each year, but I'm unable to find a
	# complete description of it from the web.
	#
	# While the methodology is not statistically too complex (although the different standard errors can get complex),
	# it can pose some serious data management challenges to students and researchers.
	#
	# The goal of the methodology is to estimate risk premia in the financial markets. While newer, more sophisticated methods for