How fast python

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Search jobs. Search articles. Kyle Kanos Kyle Kanos 4, 2 2 gold badges 16 16 silver badges 31 31 bronze badges. What runtime did you get for the OP's code? Your answer used the default that comes with the compiler, which could be slower? Try using fixed-length arrays that are set at compile time and see if it shaves any time off. This is part of the fortran standard and is expected by the programmer in a type-declared programming language. Show 29 more comments.

I also optimize by skipping the rest of the convolution if the first result isn't zero. Alistair Buxton Alistair Buxton 1, 1 1 gold badge 6 6 silver badges 8 8 bronze badges. I get 19s versus 4. I get a 3x speedup with such an approach. Then adding a few tactful static types? That localizes the names, which also makes the optimzation proposed by riffraff work. Also, move the creation of range iters out of the loop.

Show 8 more comments. Stefan Stefan 6 6 silver badges 5 5 bronze badges. I am not sure I can test it currently. Show 9 more comments. N]; while f. However I think the code is wrong.

The output should be something close to firstzero bothzero The gap would be a lot smaller if the convolved arrays were very large This is really just the starting point for an optimized solution.

Didn't take that long to write I iterate through all the values of S taking S[0] to be the "least significant" digit. Guy Sirton Guy Sirton 3 3 silver badges 7 7 bronze badges. The tiny size of the arrays in OP's code means using numpy is actually an order of magnitude slower than straight python. I've increased the speed-up on my code because of your advance function, so my code is now faster than yours :P but very good competition!

Let me know if you need more help to get this to run Show 23 more comments. Thank you. In the original the entire vector would be. I don't expect it will change the run-time much may make it faster. Or use the enthought distribution. Pre-compiled numpy installers linked against MKL. The function can be slower the first time you run it. See bpaste. It should display firstzero, bothzero and execution time. Show 4 more comments. Strategies import Data.

Bits import Data. List import Data. Word import System. Word, posneg ::! There's no way that could be right. There's lots more ways to make it faster, but this does a decent job. The code still needs to be fixed, but I ran it anyways to see what times I would get.

Tester firstzero bothzero first run time: 41 ms last run time: 4 ms real 0m5. ProgramFOX 8, 7 7 gold badges 40 40 silver badges 69 69 bronze badges. These tips can be used especially with competitive programming where the time limit is everything. Bio: Pralabh Saxena is a software developer with 1 year of experience. By subscribing you accept KDnuggets Privacy Policy. Tags: Optimization , Performance , Programming , Python. Previous post. Seeking a Data Storage Format for Deep Sign Up.

Subscribe to KDnuggets. Submit a blog Win a Reward! Can we say that Python is slow in these use cases? Every single use case mentioned above requires a huge amount of calculations.

Nevertheless, Python continues to be the most popular language used in machine learning or image processing. Now let me explain why.

Back in the opening paragraph, I mentioned that Python is often accused of being slow, which is only partially true. If the project uses machine learning, more often than not, it will need to draw on some external libraries, such as SciKit and TensorFlow, both of which are available for Python. The same is true for image preprocessing OpenCV library. Python is great for creating Web applications.

Django is by far the most popular Python Web framework, and it powers some of the biggest apps and websites you know, including Spotify, Washington Post, and YouTube although it was initially built with PHP , and BitBucket. Furthermore, assuming that the performance of a Web application depends only on the code and chosen language is a huge mistake.

The world is actually much more complicated than that. Application performance is driven by a number of factors and properly written and optimized code is just one of them. Overall performance is also limited by bottlenecks.

What are they? Well, the name is rather self-explanatory.