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python Programming Glossary: computeddjango - convert a list back to a queryset http://stackoverflow.com/questions/1058135/django-convert-a-list-back-to-a-queryset a handful of records that I would like to sort based on a computed value. Got the answer over here ... like so sorted Profile.objects.all..
Python random.sample with a generator http://stackoverflow.com/questions/12581437/python-random-sample-with-a-generator I sampled 1000 elements from 10000 100000 times and computed the average frequency of occurrence of each item in the population..
pylab.ion() in python 2, matplotlib 1.1.1 and updating of the plot while the program runs http://stackoverflow.com/questions/12822762/pylab-ion-in-python-2-matplotlib-1-1-1-and-updating-of-the-plot-while-the-pro and while still computing showing what has already been computed in previous iterations and not bothering the user to continually..
Return value while using cProfile http://stackoverflow.com/questions/1584425/return-value-while-using-cprofile arise when I want method to return a value that is computed by method_actual . I don't really want to call method_actual..
counting combinations and permutations efficiently http://stackoverflow.com/questions/2096573/counting-combinations-and-permutations-efficiently definition here is nCr n 1 C r 1 n r This can be nicely computed using tail recursion with the following list n r 0 n r 1 1 n..
Efficiently finding the shortest path in large graphs http://stackoverflow.com/questions/3038661/efficiently-finding-the-shortest-path-in-large-graphs edges. It is important to note that the way Dijkstra's is computed by pygraph yields a dictionary of all spanning trees for each.. no time. It is also worth noting that adding the pre computed edges to the graph was rather expensive at ~1.5 minutes. These..
How do I sort a list of strings in Python? http://stackoverflow.com/questions/36139/how-do-i-sort-a-list-of-strings-in-python as it has to be evaluated multiple times key is only computed once per element . So to sort according to the current locale..
Calculating Pearson correlation and significance in Python http://stackoverflow.com/questions/3949226/calculating-pearson-correlation-and-significance-in-python have a Pearson correlation at least as extreme as the one computed from these datasets. The p values are not entirely reliable..
http://stackoverflow.com/questions/5047494/python-crc32-woes the last byte and then a function of my own to update the computed crc with the last 1 7 bits. But hours of coding and testing..
Python decorator, self is mixed up http://stackoverflow.com/questions/5469956/python-decorator-self-is-mixed-up
Old style and new style classes in Python http://stackoverflow.com/questions/54867/old-style-and-new-style-classes-in-python in types or the introduction of descriptors which enable computed properties. For compatibility reasons classes are still old..
How do I profile memory usage in Python? [duplicate] http://stackoverflow.com/questions/552744/how-do-i-profile-memory-usage-in-python as well e.g. the cost of caching a table of previously computed values versus recomputing them as needed . Is there a module..
Pyramid authorization for stored items http://stackoverflow.com/questions/5761617/pyramid-authorization-for-stored-items key return obj class Foo object # this __acl__ is computed dynamically based on the specific object @property def __acl__..
FSharp runs my algorithm slower than Python! http://stackoverflow.com/questions/5850243/fsharp-runs-my-algorithm-slower-than-python is extremely high on modern hardware because it is a computed goto that jumps the program counter to an unpredictable location..
How to apply numpy.linalg.norm to each row of a matrix? http://stackoverflow.com/questions/7741878/how-to-apply-numpy-linalg-norm-to-each-row-of-a-matrix along rows np.sum np.abs x 2 axis 1 1. 2 Lp norms can be computed similarly of course. It is considerably faster than np.apply_along_axis.. best of 3 18.3 us per loop Other ord forms of norm can be computed directly too with similar speedups In 55 timeit np.apply_along_axis..
Converting datetime.date to UTC timestamp in Python http://stackoverflow.com/questions/8777753/converting-datetime-date-to-utc-timestamp-in-python to td.microseconds td.seconds td.days 24 3600 10 6 10 6 computed with true division enabled. Example from datetime import datetime..
Why are pandas merges in python faster than data.table merges in R? http://stackoverflow.com/questions/8991709/why-are-pandas-merges-in-python-faster-than-data-table-merges-in-r the whole point of R's data.table is that it contains pre computed indexes for various columns to accelerate operations like data.. this case database joins pandas' DataFrame contains no pre computed information that is being used for the merge so to speak it's..
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