[B! numpy] river2470ã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

river2470 id:river2470

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Pythonã§æ•°å€¤è¨ˆç®—ã®ã‚³ãƒ„ï¼šforæ–‡æ›¸ã„ãŸã‚‰è² ã‘ã‹ãªã¨æ€ã£ã¦ã„ã‚‹ â€“ ã¯ã‚€ã‹ãšï¼
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river2470 2014/01/01
python

numpy
ãƒªãƒ³ã‚¯
PerformancePython -
A beginners guide to using Python for performance computing A comparison of weave with NumPy, Pyrex, Psyco, Fortran (77 and 90) and C++ for solving Laplace's equation. This article was originally written by Prabhu Ramachandran. laplace.py is the complete Python code discussed below. The source tarball ( perfpy_2.tgz ) contains in addition the Fortran code, the pure C++ code, the Pyrex sources and
river2470 2013/06/03
numpy
ãƒªãƒ³ã‚¯
Tentative NumPy Tutorial -
This tutorial is unfinished. The original authors were not NumPy experts nor native English speakers so it needs reviewing. Please do not hesitate to click the edit button. You will need to create a User Account first. Quick Tour NumPy is a Python library for working with multidimensional arrays. The main data type is an array. An array is a set of elements, all of the same type, indexed by a vec
river2470 2013/06/03
numpy
ãƒªãƒ³ã‚¯
numpy sum along axis
river2470 2013/06/03
numpy

sum

axis
ãƒªãƒ³ã‚¯
ã‚µãƒ¼ãƒ“ã‚¹çµ‚äº†ã®ãŠçŸ¥ã‚‰ã›
ã‚µãƒ¼ãƒ“ã‚¹çµ‚äº†ã®ãŠçŸ¥ã‚‰ã› ã„ã¤ã‚‚Yahoo! JAPANã®ã‚µãƒ¼ãƒ“ã‚¹ã‚’ã”åˆ©ç”¨ã„ãŸã ãèª ã«ã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã™ã€‚ ãŠå®¢æ§˜ãŒã‚¢ã‚¯ã‚»ã‚¹ã•ã‚ŒãŸã‚µãƒ¼ãƒ“ã‚¹ã¯æœ¬æ—¥ã¾ã§ã«ã‚µãƒ¼ãƒ“ã‚¹ã‚’çµ‚äº†ã„ãŸã—ã¾ã—ãŸã€‚ ä»Šå¾Œã¨ã‚‚Yahoo! JAPANã®ã‚µãƒ¼ãƒ“ã‚¹ã‚’ã”æ„›é¡§ãã ã•ã„ã¾ã™ã‚ˆã†ã€ã‚ˆã‚ã—ããŠé¡˜ã„ã„ãŸã—ã¾ã™ã€‚
river2470 2013/06/03
numpy
ãƒªãƒ³ã‚¯
savemat â€” SciPy v1.14.1 Manual
river2470 2013/06/03
numpy

scipy

matlab
ãƒªãƒ³ã‚¯
Saving and loading Python dict with savemat results in error
river2470 2013/06/03
numpy

scipy

matlab
ãƒªãƒ³ã‚¯
1.4. NumPyï¼šæ•°å€¤ãƒ‡ãƒ¼ã‚¿ã®ä½œæˆã¨æ“ä½œ â€” Scipy lecture notes
é…åˆ—ï¼šç§‘å¦æŠ€è¡“è¨ˆç®—ã®åŸºæœ¬çš„ãªé“å…· ä¸¦ã‚“ã é›¢æ•£çš„ãªãƒ‡ãƒ¼ã‚¿ ã®é »ç¹ãªæ“ä½œï¼š å®Ÿé¨“ã‚„ã‚·ãƒŸãƒ¥ãƒ¬ãƒ¼ã‚·ãƒ§ãƒ³ã§ã®é›¢æ•£åŒ–ã•ã‚ŒãŸæ™‚é–“ æ¸¬å®šæ©Ÿå™¨ã«è¨˜éŒ²ã•ã‚ŒãŸä¿¡å· ç”»åƒã®ãƒ”ã‚¯ã‚»ãƒ« Numpy ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã¯ä»¥ä¸‹ã‚’å¯èƒ½ã«ã—ã¾ã™. ä¸Šã®ã‚ˆã†ãªãƒ‡ãƒ¼ã‚¿ã®é›†ã¾ã‚Šã®ä½œæˆã‚’1åº¦ã§ã™ã¾ã›ã‚‹ ãƒ‡ãƒ¼ã‚¿é…åˆ—ã®ãƒãƒƒãƒå‡¦ç†ã‚’å®Ÿç¾ï¼ˆè¦ç´ ã«å¯¾ã™ã‚‹ãƒ«ãƒ¼ãƒ—ã¯ä¸è¦ï¼‰ ãƒ‡ãƒ¼ã‚¿é…åˆ— := numpy.ndarray >>> import numpy as np >>> a = np.array([0, 1, 2]) >>> a array([0, 1, 2]) >>> print a [0 1 2] >>> b = np.array([[0., 1.], [2., 3.]]) >>> b array([[ 0., 1.], [ 2., 3.]])
river2470 2013/06/03
numpy
ãƒªãƒ³ã‚¯
http://web.bryant.edu/~bblais/bryant/numerical_computing/python_matlab.pdf
river2470 2012/04/19
matlab

python

numpy

scipy
ãƒªãƒ³ã‚¯
Python+Scipy+Matplotlib vs Matlab? | Hacker News
I'm learning datamining, machine learning, image processing etc by myself now but will start uni next year probably doing the same.I tried Octave briefly and wasn't that impressed. Ok some neat functionality and easy matrix manipulation but pretty ugly and language isn't as nice as Python. Not sure about interoperability with other tools. I already knew Python so I naturally tried numpy+scipy+matp
river2470 2012/04/19
matlab

numpy

scipy
ãƒªãƒ³ã‚¯
Bye Matlab, hello Python, thanks Sage ï¿½ Bloody Fingers
Yes, I chew on my fingers. So what ? Is that a probl em to you ? Huh ? Huh ? For the past two months or so, Iâ€™ve been slowly migrating my scientific workflow (thatâ€™s a fancy way of saying â€œmy chaotic data hackingâ€) from Matlab ((R) (TM) (C)) to Python. The results are overwhelmingly positive, so Iâ€™d like to rant about it a bit. First, some background. My work typically involves the analysis of tons
river2470 2012/04/19
matlab

numpy

scipy
ãƒªãƒ³ã‚¯
NumPy, SciPyã‚’ã¡ã‚ƒã‚“ã¨ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã™ã‚‹ï¼ˆCentOS+Python2.7+easy_installï¼‰ - Kesinã®çŸ¥è¦‹ç½®ãå ´
ç ”ç©¶å®¤ã«æ–°ã—ãRedHatã®è¨ˆç®—æ©ŸãŒæ¥ã‚‹ãã†ãªã®ã§ã€è‡ªåˆ†ã®MacBookã«VirtualBoxã‚’ä½¿ç”¨ã—ã¦CentOSã‚’å…¥ã‚Œã¦è‡ªåˆ†ã®ç’°å¢ƒã¥ãã‚Šï¼†æ¥å¹´å…¥ã£ã¦æ¥ã‚‹å¾Œè¼©ã«Pythonã‚’å¸ƒæ•™ã™ã‚‹ãŸã‚ã®ç·´ç¿’ãƒ¡ãƒ¢ã€‚ ç›®æ¨™ï¼šã‚·ã‚¹ãƒ†ãƒ ã¨ã¯åˆ¥ã®Pythonã‚’ã‚½ãƒ¼ã‚¹ã‹ã‚‰ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã€‚yumã§ATLASã€easy_installã§numpyã¨scipyã‚’ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã—ã¦ã¡ã‚ƒã‚“ã¨ATLASã‚’ä½¿ç”¨ã™ã‚‹numpy, scipyç’°å¢ƒã‚’æ§‹ç¯‰ã™ã‚‹ 1. NumPy, SciPy RedHat, CentOSã ã¨yumã§ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã§ãã‚‹numy, scipyãŒPython2.6ã¨å¤ãã€ã‚·ã‚¹ãƒ†ãƒ ã§ä½¿ã£ã¦ã‚‹ã‚‚ã®ã‚’æ±šã•ãªã„æ–¹ãŒã„ã„ã¨æ€ã†ã®ã§è‡ªåˆ†ã®ãƒ¦ãƒ¼ã‚¶ãƒãƒ¼ã‚«ãƒ«ã«Python2.7ã‚’å…¥ã‚Œã¦ã€å®‰å®šç‰ˆã®numpyã¨scipyï¼ˆåŸ·ç†å½“æ™‚ã¯1.6.1ã¨0.10.0ï¼‰ã‚’ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã—ã¾ã™ã€‚ numpyã¨scipyã¯è¡Œåˆ—ã‚’é«˜é€Ÿã«è¨ˆç®—ã—ã¦ãã‚Œã‚‹ãƒ¢
river2470 2012/04/19
numpy

scipy
ãƒªãƒ³ã‚¯
Atsushi TATSUMA Web Page Â» OpenBLAS ã‚’ä½¿ã£ãŸ Numpy/Scipy ã®ãƒ“ãƒ«ãƒ‰
ã¯ã˜ã‚ã« ã“ã‚Œã¾ã§ BLAS ã«ã¯ã€é«˜é€Ÿãª GotoBLAS ã‚’ä½¿ã£ã¦ãã¾ã—ãŸãŒã€ é–‹ç™ºãŒçµ‚äº†ã—ã¦ã„ã‚‹ã“ã¨ã‹ã‚‰ã€ç§»è¡Œå…ˆã‚’æ¤œè¨Žã—ã¦ã„ã¾ã—ãŸã€‚ GotoBLAS ã®å¾Œç¶™ã§ã‚ã‚Šã€é–‹ç™ºãŒç¶šã„ã¦ã„ã‚‹ã“ã¨ã‹ã‚‰ã€OpenBLAS ã‚’ä½¿ã†ã“ã¨ã«ã—ã¾ã—ãŸã€‚ ç ”ç©¶å®¤ã§ã¯ Debian GNU/Linux ã‚’ä½¿ç”¨ã—ã¦ãŠã‚Šã€ä½œæ¥å½“æ™‚ã®ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã¯ squeeze ã§ã™ã€‚ æº–å‚™ å¿…è¦ãªãƒ©ã‚¤ãƒ–ãƒ©ãƒªãªã©ã‚’ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«/ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã—ã¾ã™ã€‚ ã¾ãšã€ä»Šå›žã€ç‹¬è‡ªã«ãƒ“ãƒ«ãƒ‰ã—ãªã„ãƒ©ã‚¤ãƒ–ãƒ©ãƒªãªã©ã‚’ aptitude ã§ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã—ã¾ã™ã€‚ libatlas-base-dev ãŒã€å¾ŒåŠã§é‡è¦ã¨ãªã‚Šã¾ã™ã€‚ $ sudo aptitude install gfortran git swig $ sudo aptitude install python python-numpy python-scipy python-nose
river2470 2012/04/17
openblas

numpy

python
ãƒªãƒ³ã‚¯
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