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def add_bookmark(request, snippet_id): snippet = get_object_or_404(Snippet, pk=snippet_id) try: Bookmark.objects.get(user__pk=request.user.id, snippet__pk=snippet.id) except Bookmark.DoesNotExist: bookmark = Bookmark.objects.create(user=request.user, snippet=snippet) return HttpResponseRedirect(snippet.get_absolute_url()) add_bookmark = login_required(add_bookmark) The logic here is pretty simple. You check whether the user already has a bookmark for this snippet, and if not in which case the Bookmark.DoesNotExist exception will be raised you create one. Either way, you return a redirect back to the snippet, and, of course, you ensure that the user must be logged in to do this. Deleting a bookmark is similarly easy: def delete_bookmark(request, snippet_id): if request.method == 'POST': snippet = get_object_or_404(Snippet, pk=snippet_id) Bookmark.objects.filter(user__pk=request.user.id, snippet__pk=snippet.id).delete() return HttpResponseRedirect(snippet.get_absolute_url()) else: return render_to_response('cab/confirm_bookmark_delete.html', { 'snippet': snippet }) delete_bookmark = login_required(delete_bookmark) With the delete_bookmark view, you re using two important techniques: Instead of querying to see if the user has a bookmark for this snippet and then deleting it manually (which incurs the overhead of two database queries), you simply use filter() to create a QuerySet of any bookmarks that match this user and this snippet. You then call the delete() method of that QuerySet. This issues only one query a DELETE query, whose FROM clause limits it to the correct rows, if any exist. You re requiring that bookmark deletion use an HTTP POST. If the request method isn t POST, you display a confirmation page instead.

If you were to create a linked list, storing a name and a shoe size in each node, the code will have to iterate through all your friends, comparing the name stored at each node with the name you re looking for. With a hash table, you would create a hash of your friends names.

The hash is generally determined by two steps. First, create a unique integer based on the name, then use the modulo operator against the size of the hash table to create an index within the necessary bounds.

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This last point bears emphasizing, because requiring HTTP POST and a confirmation screen for anything that deletes content even trivial-seeming content like a bookmark is an extremely important habit to get into. Not only does it prevent accidental deletion by a user who clicks the wrong link on a page, but it also adds a small measure of security against a common type of web-based attack: cross-site request forgery (CSRF). In a CSRF attack, a hacker lures a user of your site to a page that contains a hidden link or form pointing back to your application. The hacker exploits the fact that because the HTTP requests are coming from the user, many applications allow modification or deletion of content. Additionally, it s generally good practice to require POST for any operation that alters or deletes data on the server. The HTTP specification states that certain methods, including GET, should be considered safe and generally should not have side effects.

Customer Relation Management (CRM) products, also known as the JTF product family of the E-Business Suite, include the setup of the JTF Fulfillment Server. For CRM customers, the JTF Fulfillment Server configuration is vital to the functionality of their application.

The modulo operator in C is %. Modulo means you should divide the first operand by the second Tip operand and return the remainder. Thus, 5 % 2 = 1 (5 / 2 = 2 with a remainder of 1). Because the remainder can never be greater than the divisor, using the modulo operator will ensure the index will not be outside the bounds.

A simple hash function is add the ASCII values of each letter in the name. Suppose the hash table is 50 elements long. My name would hash to 83(S) + 101(e) + 97(a) + 110(n), modulo 50. The ASCII values summed equal 441. 441 % 50 = 41. Thus, my shoe size (12) would be stored at index 41 in the hash table. To look up my shoe size, calculate the hash of my name again, and retrieve the value at index 41. (See Figure 4-6.)

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