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python Programming Glossary: amortized

Key-ordered dict in python

http://stackoverflow.com/questions/1319763/key-ordered-dict-in-python

sync. Although you don't specify I think you'll only get amortized behavior of the kind you want unless you're truly willing to.. a pretty unlikely real life requirement. For O 1 read and amortized O N ordered iteration just keep a list of all keys on the side.. self.sorted True return iter self.L If you don't like the amortized O N order you can remove self.sorted and just repeat self.L.sort..

How many bytes per element are there in a Python list (tuple)?

http://stackoverflow.com/questions/135664/how-many-bytes-per-element-are-there-in-a-python-list-tuple

allocates space for lists in such a way as to achieve amortized constant time for appending elements to the list. In practice..

How expensive are Python dictionaries to handle?

http://stackoverflow.com/questions/1418588/how-expensive-are-python-dictionaries-to-handle

keys or key value pairs is O N fetching is O 1 putting is amortized O 1 and so forth. Can't really do anything substantially better..

Python List vs. Array - when to use?

http://stackoverflow.com/questions/176011/python-list-vs-array-when-to-use

data and they can be appended to very efficiently in amortized constant time . If you need to shrink and grow your array time..

Python, Popen and select - waiting for a process to terminate or a timeout

http://stackoverflow.com/questions/337863/python-popen-and-select-waiting-for-a-process-to-terminate-or-a-timeout

10 seconds but if the failure case is rare this would be amortized over all the success cases. Edit How about t_nought time.time..

Good way to append to a string

http://stackoverflow.com/questions/4435169/good-way-to-append-to-a-string

string in place. The end result is that the operation is amortized O n eg s for i in range n s str n used to be O n^2 but now it..

Python: List vs Dict for look up table

http://stackoverflow.com/questions/513882/python-list-vs-dict-for-look-up-table

Speed Lookups in lists are O n lookups in dictionaries are amortized O 1 with regard to the number of items in the data structure...