Aug 30, 2008 · And, classes in Python are naturally C-struct-like and can have any data arbitrarily added to them at run-time. So, just do this: # Create a universal C-struct-like class class AnyStruct(): pass # Make a universal print function to print all user-added members of any class # like this: def print_any_class(class_instance): """ Print all members ...

Dec 31, 2009 · Python gives you some powerful, highly optimized data structures, both as built-ins and as part of a few modules in the standard library (lists and dicts, of course, but also tuples, sets, arrays in module array, and some other containers in module collections).

Aug 22, 2013 · I have some data, which is a function of two variables, let's say a and b. f(a,b) In maths terms, we can think of f as a surface viewed in 3D. The problem is, what is a good data structure to store this data in? I need to plot f as a function of a for constant b and f as a function of b for constant a.

Apr 17, 2010 · In the end, data structures are just a way of organizing data; any high level language will support that. Sure, certain languages will have mechanisms implementing basic data structures (such as Collections Framework in Java or C++ STL), but it does not stop you from programming data structure in the programming language of your choice.

Jun 27, 2018 · In Python, that data structure can be used as the dict datatype So, to answer the question more broadly, all languages have built-in data types. Not all languages have built-in data structures, but they generally can be implemented by using the data types that are available

Feb 1, 2012 · That said, there are sometimes data structures for which the Python data structures are not the best option. For instance, if you want to build a splay tree, you should either roll your own or use an open-source project like pysplay. If the built-in data structures, solve your problem, use them. Otherwise, look beyond the built-in data structures.

Mar 1, 2010 · Python doesn't have the quite the extensive range of "built-in" data structures as Java does. However, because Python is dynamic, a general tree is easy to create. For example, a binary tree might be: class Tree: def __init__(self): self.left = None self.right = None self.data = None You can use it like this:

Cheap searching and cheap insertion tend to be at odds. You could use a linked list for the data structure. Then searching to find the insertion point for a new element is O(n), and the subsequent insertion of the new element in the correct location is O(1). But you're probably better off just using a straightforward Python list.

BTW, this takes shameless advantage of the unusual (and wonderful;-) performance characteristics of Python's sort (aka "timsort"): among them, sorting a list that's mostly sorted but with a few extra items tacked on at the end is basically O(N) (if the tacked on items are few enough compared to the sorted prefix part).

Oct 24, 2013 · I am developing a moving average filter for position "tracks" in Touch Designer, which implements a Python runtime. I'm new to Python and I'm unclear on the best data structures to use. The pcode is roughly: Receive a new list of tracks formatted as: id, posX, posY 2001, 0.54, 0.21 2002, 0.43, 0.23...