dwf

/* 
 * Demonstrates the use of strchr to count the number of spaces in a string
 * entered by the user. 
 * 
 * Prepared for tutorial purposes by David Warde-Farley, CSC209H Winter 2008
 */

#include <stdio.h>
#include <string.h>

dwf

/*
 * Demonstrates the use of fgets() for reading in input, and it's behaviour
 * with respect to terminating NULL characters, newlines, etc.
 * 
 * Prepared for tutorial purposes by David Warde-Farley, CSC209H Winter 2008
 */
#include <stdio.h>

#define BUFSIZE 5

dwf

/* Demonstrates breaking up a string in much the same manner as is done by 
 * the standard library function strtok.  It's also an actually practical 
 * occurrence of a triple pointer (char ***).
 * 
 * Prepared for tutorial purposes by David Warde-Farley, CSC209H Winter 2008
 */
#include <stdio.h>
#include <stdlib.h>
#include <string.h>

dwf

import numpy as np
import scipy.special as spec
import scipy.optimize as opt

def negative_beta_likelihood(params, sumlogd, sumlog1md, numpts):
    """
    Negative log likelihood for i.i.d. beta random variables, based
    on the parameters and the sufficient statistics.

        params     -- length-2 array of (log) parameters

dwf

/* Scanner that reads in a Portable Graymap (PGM) file.
 * 
 * By David Warde-Farley -- user AT cs dot toronto dot edu (user = dwf)
 * Redistributable under the terms of the 3-clause BSD license 
 * (see http://www.opensource.org/licenses/bsd-license.php for details)
 */


    enum { PRE_START, PARSE_START, GOT_X, GOT_Y, GOT_MAX } parserstate 
        = PRE_START;

dwf

;A bunch of increasingly complex Scheme procedures I wrote while
;learning Scheme.
;
; By David Warde-Farley -- user AT cs dot toronto dot edu (user = dwf)
; Redistributable under the terms of the 3-clause BSD license 
; (see http://www.opensource.org/licenses/bsd-license.php for details)

;Increment a value and return it.

(define inc

dwf

function bestclass = knn(train_data, labels, example, k);
%kNN-- do k-nearest neighbours classification
%
%  BESTCLASS = knn(TRAIN_DATA, LABELS, EXAMPLE, K)
%
% Takes TRAIN_DATA, a D x N matrix containing N training examples of dimension
% D; LABELS, an N-vector of the (positive integer) classes assigned to each
% column of TRAIN_DATA; EXAMPLE, a D-vector consisting of the example we
% are trying to classify; and K, the number of neighbours to use in
% classifying.

dwf

"""
Simple script I whipped up to dump MSN Messenger logs in XML to a readable 
plaintext format. It's not very robust, nor am I sure which versions of MSN
Messenger it's compatible or incompatible with; I just had a specific 
conversation I wanted to read, and this was the vehicle to that end.

By David Warde-Farley -- user AT cs dot toronto dot edu (user = dwf)
 
Redistributable under the terms of the 3-clause BSD license 
(see http://www.opensource.org/licenses/bsd-license.php for details)

dwf

"""
tfd.py -- Scrapes a certain set of comics' websites, and spits
          out home-grown RSS feeds for them. 

This is pretty useless now that all of the Sharing Machine comics 
provide RSS feeds, but might serve as an okay example of old-school
screen scraping and XML generation in Python. I hear the cool kids 
use BeautifulSoup (for scraping) and lxml (for XML generation) 
nowadays.

dwf

#!/usr/bin/env python
"""
NumPy implementation of the classic 'four regions' benchmark.
By David Warde-Farley -- user AT cs dot toronto dot edu (user = dwf)

Redistributable under the terms of the 3-clause BSD license 
(see http://www.opensource.org/licenses/bsd-license.php for details)
"""

import numpy as np