Matts Scripts - Code

Matt's Scripts live on (only now it is Anna's Scripts)

 

Welcome to Matt's Scripts the home of free scripts and software, iG Whois free Perl and PHP whois script and other fine free and premium scripts PHP and CGI Perl web scripts. We also have a scripts directory where other script creators can add their scripts, its free to add your script to our scripts directory but it must be of good quality.
iG Scripts directory currently has the following categories: PHP, Perl CGI, JavaScript, Java, Flash, ASP, ASP.NET, XML, Visual Basic and Python. If you cannot find an appropriate category please suggest a new category.

Matt's Scripts  also has a section for allied internet resources such as web hosting, domain name registration, search engine optimisation and submission and webmaster resources. If you have an interesting website in any of the aforementioned industries you may also submit it to iGeneric web scripts directory or scripts section

Who was Matt?

Name Matt Wilson
Location London, UK
 
Hobbies Programming
Computers (anything)
Sport (football and stuff)
Pub :)
(oh, I should probably mention my girlfriend too!)

Current status I was at Leeds university studying Computer Science (did you guess?). Presently I am very busy with university coursework/exams etc which unfortunately means that I cannot really afford the time (or money - internet access costs!) to update the site, but we'll see.
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Common Searching and Sorting Algorithms in Python

I implemented some common searching and sorting algorithms in Python to improve my understanding of them in preparation for an algorithms exam. They may not be perfect implementations (unoptimised etc.) but they may help a Python-minded individual understand how they work.

Note: The selection sort and bubble sort algorithms take one argument, a list, and modify it in place as it is a mutable type. The merge sort and quicksort algorithms sorted versions of the provided lists; they don’t modify the lists in place. The search algorithms take two arguments - a list (l), and an element to be found(k). The both return the index of the found element.

Selection Sort

def selection_sort(l):      n = len(l)      for i in xrange(n-1):          mini = i          for j in xrange(i+1, n):              if l[j] < l[mini]:                  mini = j          l[i], l[mini] = l[mini], l[i]

Bubble Sort

def bubble_sort(l):      n = len(l)      for i in xrange(n-1):          for j in xrange(n-1-i):              if l[j] > l[j+1]:                  l[j], l[j+1] = l[j+1], l[j]

Merge Sort

def merge_sort(l):      n = len(l)      if n > 1:          mid = n/2          l1 = merge_sort(l[:mid])          l2 = merge_sort(l[mid:])          return merge(l1, l2)      return l     def merge(l1, l2):      result = []      p = len(l1)      q = len(l2)      i = j = 0      while i < p and j < q:          if l1[i] <= l2[j]:              result.append(l1[i])              i += 1          else:              result.append(l2[j])              j += 1      result.extend(l1[i:])      result.extend(l2[j:])      return result

QuickSort

def quick_sort(l):      if l == []:          return []      else:          p = l[0]          left = quick_sort([x for x in l[1:] if x < p])          right = quick_sort([x for x in l[1:] if x >= p])          return left + [p] + right

Sequential Search

def sequential_search(l, k):      for i in xrange(len(l)):          if l[i] == k:              return i

Binary Search

def binary_search(a, k):      count = 0      l, r = 0, len(a)-1      while l <= r:          count += 1          mid = (l+r)/2          if k == a[mid]:              print count              return mid          else:              if k < a[mid]:                  r = mid              else:                  l = mid+1

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