python Programming Glossary: k1

http://stackoverflow.com/questions/11449232/multiple-keys-per-value

One possible solution is to assign value to each key dict 'k1' 'v1' 'k2' 'v1' 'k3' 'v1' 'k4' 'v2' but this is not memory efficient.. you could make a dictionary of dictionary keys key_dic 'k1' 'k1' 'k2' 'k1' 'k3' 'k1' 'k4' 'k4' dict 'k1' 'v1' 'k4' 'v2'.. could make a dictionary of dictionary keys key_dic 'k1' 'k1' 'k2' 'k1' 'k3' 'k1' 'k4' 'k4' dict 'k1' 'v1' 'k4' 'v2' main_key..

Pagination using scrapy

http://stackoverflow.com/questions/16129071/pagination-using-scrapy

elecCapacity elecDisplaySize narrowage color prc k1 k2 k3 k4 k5 k6 k7 k8 k9 k10 k11 k12 startPrize endPrize newArrival.. narrowage color prc k1 k2 k3 k4 k5 k6 k7 k8 k9 k10 k11 k12 startPrize endPrize newArrival entityType entityId.. narrowage color prc k1 k2 k3 k4 k5 k6 k7 k8 k9 k10 k11 k12 startPrize endPrize newArrival entityType entityId brandId..

Numerical Integration over a Matrix of Functions, SymPy and SciPy

http://stackoverflow.com/questions/16295140/numerical-integration-over-a-matrix-of-functions-sympy-and-scipy

0 evaluating differential equations 2 lambdifying k1 22 integrating k1 74 lambdifying and integrating k2 2 extracting.. differential equations 2 lambdifying k1 22 integrating k1 74 lambdifying and integrating k2 2 extracting eigenvalues.. your calculation seems to be diagonal in the sense that k1 and k2 are both of the form k g^T X g where X is some 5x5 matrix..

python code for multiple ode

http://stackoverflow.com/questions/16748433/python-code-for-multiple-ode

x0 n for i in xrange n 1 h t i 1 t i f0 f x i t i k1 h f0 k2 h f x i 0.5 k1 t i 0.5 h k3 h f x i 0.5 k2 t i 0.5 h.. xrange n 1 h t i 1 t i f0 f x i t i k1 h f0 k2 h f x i 0.5 k1 t i 0.5 h k3 h f x i 0.5 k2 t i 0.5 h k4 h f x i k3 t i 1 x.. k2 t i 0.5 h k4 h f x i k3 t i 1 x i 1 x i h 55.0 f0 59.0 k1 37.0 k2 9.0 k3 24.0 return x Am I right When I execute it it..

python dictionary values sorting

http://stackoverflow.com/questions/6046049/python-dictionary-values-sorting

0.3 c 0.9 d 1.2 e 0.2 dict2 a 1.4 b 7.7 c 9.0 d 2.5 e 2.0 k1 sorted dict1 key dict1.get k2 sorted dict2 key dict2.get diffs.. k2 sorted dict2 key dict2.get diffs dict k k2.index k k1.index k for k in dict1 A more efficient less readable version..