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python Programming Glossary: linearIterating through a range of dates in Python http://stackoverflow.com/questions/1060279/iterating-through-a-range-of-dates-in-python if in the generator seems to be unnecessary. After all a linear sequence should only require one iterator not two. Update after..
How to create a TRIE in Python http://stackoverflow.com/questions/11015320/how-to-create-a-trie-in-python in that finding the correct sub node would require a linear search. But the search would be limited to the number of possible..
List comprehension vs generator expression's weird timeit results? http://stackoverflow.com/questions/11964130/list-comprehension-vs-generator-expressions-weird-timeit-results But for other kinds of iterative tasks that are truly linear in the number of items list comprehensions are pretty much always..
Python: tf-idf-cosine: to find document similarity http://stackoverflow.com/questions/12118720/python-tf-idf-cosine-to-find-document-similarity this case we need a dot product that is also known as the linear kernel from sklearn.metrics.pairwise import linear_kernel cosine_similarities.. as the linear kernel from sklearn.metrics.pairwise import linear_kernel cosine_similarities linear_kernel tfidf 0 1 tfidf .flatten.. import linear_kernel cosine_similarities linear_kernel tfidf 0 1 tfidf .flatten cosine_similarities array 1...
Python string 'join' is faster(?) than '+', but what's wrong here? http://stackoverflow.com/questions/1349311/python-string-join-is-faster-than-but-whats-wrong-here being hit with a performance loss of 200 or more since non linear behavior IS still lurking there just outside of the corners.. in all tranquility and KNOW we won't be hit with a superlinear slowdown when we least expect and least can afford you. But..
python image recognition [closed] http://stackoverflow.com/questions/1603688/python-image-recognition them into Numpy arrays use Scipy 's image filters linear and rank morphological to implement your solution As far differentiating..
http://stackoverflow.com/questions/211160/python-inverse-of-a-matrix modules out there to do it. python algorithm matrix linear algebra matrix inverse share improve this question You should.. A.I # Inverse of A. print linalg.solve A x # Solve the linear equation system. You can also have a look at the array module..
How are Python's Built In Dictionaries Implemented http://stackoverflow.com/questions/327311/how-are-pythons-built-in-dictionaries-implemented by one i 1 i 2 ... and use the first available one that's linear probing . But for reasons explained beautifully in the comments..
What is the difference between 'log' and 'symlog'? http://stackoverflow.com/questions/3305865/what-is-the-difference-between-log-and-symlog . Both functions accept three different scales 'linear' 'log' 'symlog' . What is the difference between 'log' and 'symlog'.. allows to set a range around zero within the plot will be linear instead of logarithmic. I think everything will get a lot easier.. as step xdomain numpy.arange 50 50 0.1 # Plots a simple linear function 'f x x' pyplot.plot xdomain xdomain # Plots 'sin x..
Calculating Pearson correlation and significance in Python http://stackoverflow.com/questions/3949226/calculating-pearson-correlation-and-significance-in-python The Pearson correlation coefficient measures the linear relationship between two datasets. Strictly speaking Pearson's.. no correlation. Correlations of 1 or 1 imply an exact linear relationship. Positive correlations imply that as x increases..
How to improve performance of this code? http://stackoverflow.com/questions/4295799/how-to-improve-performance-of-this-code . The in statement is so easy to use you forget that it's linear search and when you're doing linear searches on lists it can.. you forget that it's linear search and when you're doing linear searches on lists it can add up fast. What you can do is convert..
Multivariate spline interpolation in python/scipy? http://stackoverflow.com/questions/6238250/multivariate-spline-interpolation-in-python-scipy copy of the array if you're using an order 1 i.e. not linear interpolation . If you just want to interpolate at a very small.. can either a specify prefilter False and order 1 and use linear interpolation or b replace your original data with a filtered..
http://stackoverflow.com/questions/638893/what-is-the-most-efficient-way-in-python-to-convert-a-string-to-all-lowercase-st into a set which looks up by hash rather than performing a linear search each time . Here are the timings I get for various of..
Why does '.sort()' cause the list to be 'None' in Python? http://stackoverflow.com/questions/9777122/why-does-sort-cause-the-list-to-be-none-in-python max len Ancestors T x for x in OrdLeaves T max operates in linear time O n while sorting is O nlogn . You also don't need nested..
A tool to convert MATLAB code to Python http://stackoverflow.com/questions/9845292/a-tool-to-convert-matlab-code-to-python MATLAB be installed . MatPy Python package for numerical linear algebra and plotting with a MatLab like interface Btw might..
What is the equivalent of CPython string concatenation, in C++? [duplicate] http://stackoverflow.com/questions/13021985/what-is-the-equivalent-of-cpython-string-concatenation-in-c each buffer doubling 1 2 4 8 &hellip N is less than 2 N. Linear time string concatenation expressions in C . In order to faithfully..
http://stackoverflow.com/questions/16301569/bandpass-filter-in-python methods exist depending on how accurate you need to be. Linear interpolation is probably not a bad starting point but it depends..
Solving non-linear equations in python http://stackoverflow.com/questions/19542801/solving-non-linear-equations-in-python There are two ways to do this. Use a non linear solver Linearize the problem and solve it in the least squares sense Setup.. This is more for my ease of thinking than anything else. Linear Solution It's actually possible to linearize this equation... 2.0 1.0 f x y z generate_data nobservations a b c print 'Linear results should be '.format a b c print linear_invert f x y z..
Python: Random is barely random at all? http://stackoverflow.com/questions/2145510/python-random-is-barely-random-at-all has a very long period much greater than 2^32. Unlike a Linear Congruential PRNG the result is not purely a function of the..
How to make scipy.interpolate give an extrapolated result beyond the input range? http://stackoverflow.com/questions/2745329/how-to-make-scipy-interpolate-give-an-extrapolated-result-beyond-the-input-range y exp x 3.0 interp 9 10 x y array 0.04978707 0.04978707 2. Linear or other custom extrapolation You can write a wrapper around..
fitting exponential decay with no initial guessing http://stackoverflow.com/questions/3938042/fitting-exponential-decay-with-no-initial-guessing scipy share improve this question You have two options Linearize the system and fit a line to the log of the data. Use a non.. fit_y A0 K0 C0 A K C0 ax1.set_title 'Non linear Fit' # Linear Fit Note that we have to provide the y offset C value A K fit_exp_linear.. plot ax2 t y noisy_y fit_y A0 K0 C0 A K 0 ax2.set_title 'Linear Fit' plt.show def model_func t A K C return A np.exp K t C def..
Open source alternative to MATLAB's fmincon function? http://stackoverflow.com/questions/49926/open-source-alternative-to-matlabs-fmincon-function share improve this question Is your problem convex Linear Non linear I agree that SciPy.optimize will probably do the.. in increasing level of difficulty to solve efficiently Linear Program LP Quadratic Program QP Convex Quadratically Constrained.. Order Cone Program SOCP Semidefinite Program SDP Non Linear Convex Problem Non Convex Problem There are also combinatoric..
http://stackoverflow.com/questions/5551286/filling-gaps-in-a-numpy-array interpolate in the simplest possible terms a 3D dataset. Linear interpolation nearest neighbour all that would suffice this..
Linear regression with matplotlib http://stackoverflow.com/questions/6148207/linear-regression-with-matplotlib regression with matplotlib still a Python beginner. I'm trying..
http://stackoverflow.com/questions/7343697/linear-interpolation-python Interpolation Python I'm fairly new to programming and thought..
Python Multiple Linear Regression using OLS code with specific data? http://stackoverflow.com/questions/7458391/python-multiple-linear-regression-using-ols-code-with-specific-data Multiple Linear Regression using OLS code with specific data I am using the..
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