[B! python] moozã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

mooz id:mooz

pythonã«é–¢ã™ã‚‹moozã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (190)

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f-strings ã®ä½¿ç”¨ä¾‹ - Qiita
ã“ã®è¨˜äº‹ã¯ï¼Ÿ Python 3.6 ã§è¿½åŠ ã•ã‚ŒãŸ f-strings (ãƒ•ã‚©ãƒ¼ãƒžãƒƒãƒˆæ¸ˆã¿æ–‡å—åˆ—ãƒªãƒ†ãƒ©ãƒ«) ã®ä½¿ç”¨ä¾‹ã§ã™ã€‚å¼å±•é–‹ ã®æ©Ÿèƒ½ãŒå˜åœ¨ã™ã‚‹ Ruby ã‚„ JavaScript ãªã©ã®è¨€èªžã‹ã‚‰ç§»ä½ã—ã¦ããŸèº«ãªã®ã§é‡å®ã—ã¦ã„ã¾ã™ã€‚ãŸã ã€æ›¸å¼æŒ‡å®šæ–‡å—åˆ— ã®æ–‡æ³•ã‚’ã—ã°ã—ã°å¿˜ã‚Œã¦ã—ã¾ã†ã®ã§å‚™å¿˜éŒ²ã¨ã—ã¦æ®‹ã—ã¾ã™ã€‚ f-strings ã®ä½¿ç”¨ä¾‹ ä½ç½®æƒãˆã¨ãƒ‘ãƒ‡ã‚£ãƒ³ã‚° number = 123 # ã‚¼ãƒãƒ‘ãƒ‡ã‚£ãƒ³ã‚°ã™ã‚‹ã€‚ f'{number:0>10}' # å³å¯„ã› # => '0000000123' f'{number:0^10}' # ä¸å¤®å¯„ã› # => '0001230000' f'{number:0<10}' # å·¦å¯„ã› # => '1230000000' # ãƒ‘ãƒ‡ã‚£ãƒ³ã‚°ã®ãŸã‚ã®æ–‡å—åˆ—ã‚’æŒ‡å®šã—ãªã„å ´åˆã¯ã€åŠè§’ã‚¹ãƒšãƒ¼ã‚¹ã§åŸ‹ã‚ã‚‰ã‚Œã‚‹ã€‚ f'{number:>10}' # => ' 123' f'{
mooz 2020/05/24
Python 3.6 ã« string interpolation ãŒå…¥ã£ã¦ãŸã®ã‹ã€‚è¶…ä¾¿åˆ©ã€‚ f''a: {a+10}" ã¨ã‹ã‚„ã‚Œã‚‹ã€‚

python
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pip ã‚’é–‰åŸŸç’°å¢ƒã§åˆ©ç”¨ã™ã‚‹ - æ—¥è¨˜
ã¯ã˜ã‚ã« ä»Šå›žã¯è«¸èˆ¬ã®äº‹æƒ…ã§ pip ã¨ã„ã†ã‹ã€Python ç’°å¢ƒã‚’å¤–éƒ¨é€šä¿¡ãŒä¸å¯èƒ½ãªç’°å¢ƒã§ç”¨æ„ã™ã‚‹å¿…è¦ãŒå‡ºã¦ããŸã®ã§ã€ã‚„ã‚Šæ–¹ã‚’èª¿ã¹ãŸæ™‚ã®å‚™å¿˜éŒ²ã§ã™ã€‚ ç’°å¢ƒæ§‹ç¯‰ã®æµã‚Œ ä½œæ¥é †ã¨ã—ã¦ã¯æ¬¡ã®ã‚ˆã†ãªæµã‚Œã§ã™ã€‚ å¤–éƒ¨é€šä¿¡å¯èƒ½ãªç’°å¢ƒã§ã€pypi ã‹ã‚‰ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã‚’å–å¾—ã™ã‚‹ ç’°å¢ƒæ§‹ç¯‰å¯¾è±¡ã®ã‚µãƒ¼ãƒã«ãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã‚’ã‚³ãƒ”ãƒ¼ pip install ã‚’å®Ÿè¡Œã™ã‚‹ Python ã‚„ pip ã€virtualenv ã¯ã€dpkg ã‚„ rpm ã§ãŒã‚“ã°ã£ã¦ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã—ã¦ãâ˜† pypi ã‹ã‚‰ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã‚’å–å¾—ã‹ã‚‰ã‚³ãƒ”ãƒ¼ã¾ã§ æ—¢ã« requirements.txt ã«å¿…è¦ãªãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ãŒæ›¸ã‹ã‚Œã¦ã„ã‚‹çŠ¶æ…‹ã§æ¬¡ã®ã‚³ãƒžãƒ³ãƒ‰ã‚’å®Ÿè¡Œã—ã¾ã™ã€‚ $ mkdir pip-cache $ pip download \ --only-binary=:all: \ --platform manylinux1_x86_64 \ --python-ve
mooz 2018/02/14
ã“ã‚Œã ï¼

python
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Pipeline
Pipeline# class sklearn.pipeline.Pipeline(steps, *, transf orm_input=None, memory=None, verbose=False)[source]# A sequence of data transf ormers with an optional final predictor. Pipeline allows you to sequentially apply a list of transf ormers to preprocess the data and, if desired, conclude the sequence with a final predictor for predictive modeling. Intermediate steps of the pipeline must be trans
mooz 2017/10/28
sklearn ã§ã‚‚ feature engineering ã‚’ãƒ‘ã‚¤ãƒ—ãƒ©ã‚¤ãƒ³çš„ã«æ›¸ã‘ã‚‹ã®ã‹ï¼

machine_learning

python

feature_engineering
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Seven Things You Might Not Know about Numba | NVIDIA Technical Blog
Numba is a fully open-source just-in-time compiler for Python functions that allows writing CUDA kernels directly in Python syntax and executing them on the GPU using NVIDIA GPUs.The combination of Numba and Jupyter Notebook enables rapid CUDA prototyping, allowing for immediate execution of changes and benchmarking with %timeit.Numba's @vectorize decorator simplifies the creation of universal fun
mooz 2017/10/14
ã„ã¤ã®é–“ã«ã‹ GPU ã‚µãƒãƒ¼ãƒˆãŒ

python

gpgpu
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Python ã®ä¾å˜ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ç®¡ç†/ç’°å¢ƒåˆ‡ã‚Šåˆ†ã‘ãƒ„ãƒ¼ãƒ« pipenv ã®ç´¹ä»‹ - ç§ãŒæŒå·ã§ã™
ã“ã®è¨˜äº‹ã¯ 2017/9 ã«æ›¸ã‹ã‚ŒãŸã‚‚ã®ã§ã‚ã‚Šã€2019/11/26 ç¾åœ¨ã¨ã¯çŠ¶æ³ãŒå¤‰ã‚ã£ã¦ã„ã¾ã™ã€‚å…¬å¼ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆ(æ—¥æœ¬èªžè¨³)ã‚’å‚ç…§ã—ã¦ãã ã•ã„ã€‚ æ™‚ä»£ã¯ pipenv ã‚„â€” ã†ãŸãŒã‚ããðŸ”°ðŸ’Š (@utgwkk) September 5, 2017 ã‚‚ã†èª°ã‚‚ï¼Œrequirements.txt ã‚„ï¼Œsource ENV/bin/activate ã«é ã‚’æ‚©ã¾ã•ã‚Œã‚‹æ™‚ä»£ã¯çµ‚ã‚ã£ãŸï¼ ã¨ã„ã†ã‚ã‘ã§ virtualenv ã®æ™‚ä»£ã¯çµ‚ã‚ã‚Š*1ï¼Œpipenv ã®æ™‚ä»£ã«ãªã‚Šã¾ã—ãŸï¼Ž ã“ã®è¨˜äº‹ã¯ Python ã‚’æ›¸ãäººé–“ãŒå…¨å“¡ pipenv ã‚’ä½¿ã†ã¹ãã ã¨ã„ã†æ€ã„ã‚’è¾¼ã‚ã¦æ›¸ãã¾ã—ãŸï¼Žæ—¥æœ¬èªžã§æ›¸ã‹ã‚ŒãŸè¨˜äº‹ãŒã¾ã ãœã‚“ãœã‚“ãªã„ã¨ã„ã†äº‹æƒ…ã‚‚ã‚ã‚Šã¾ã™ï¼Ž pipenv ã¨ã¯ Python ã®ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ç®¡ç†ãƒ„ãƒ¼ãƒ«ã® pip ã¨ï¼Œç’°å¢ƒåˆ‡ã‚Šåˆ†ã‘ãƒ„ãƒ¼ãƒ«ã® virtualenv ã‚’èžåˆã•ã›ãŸãƒ„ãƒ¼ãƒ«ã§ã™ï¼ŽRuby ã§ã„ã†ã¨ã“
mooz 2017/09/06
python
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Pythonãƒ¡ãƒ¢ : better-exceptionsã§ä¾‹å¤–æƒ…å ±ã‚’è¦‹ã‚„ã™ãã™ã‚‹ - ã‚‚ãŸæ—¥è¨˜
better-exceptions ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« ä½¿ã„æ–¹ better-exceptions github.com better-exceptionsã‚’ä½¿ç”¨ã™ã‚‹ã¨ä¾‹å¤–æƒ…å ±ãŒå›³ã®ã‚ˆã†ã«ã¿ã‚„ã™ããªã‚‹ã€‚ ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ« pipã§ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã§ãã‚‹ã®ã§ä¸‹è¨˜ã‚³ãƒžãƒ³ãƒ‰ã‚’å®Ÿè¡Œã€‚ $ pip install better_exceptions ä½¿ã„æ–¹ ä»¥ä¸‹ã®ã‚ˆã†ã«better_exceptionsã‚’ã‚¤ãƒ³ãƒãƒ¼ãƒˆã™ã‚Œã°ã‚ˆã„ã€‚ import better_exceptions è©¦ã—ã«ä¸‹è¨˜ã‚³ãƒ¼ãƒ‰ã‚’å®Ÿè¡Œã—ãŸå ´åˆã®å‡ºåŠ›ã‚’æ¯”ã¹ã¦ã¿ã‚‹ã€‚ import better_exceptions foo = 52 def shallow(a, b): deep(a + b) def deep(val): global foo assert val > 10 and foo == 60 bar = foo - 50 shallow(b
mooz 2017/08/06
python
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How to include .pyx file in python package
mooz 2017/04/19
.pyx ãƒ•ã‚¡ã‚¤ãƒ«ã‚’ setup.py ã§ã‚¤ãƒ³ã‚¹ãƒˆãƒ¼ãƒ«ã•ã›ãŸã„ã¨ãã¯ MANIFEST.in ã‚’æ›¸ãã€‚pyximport ã—ã¦ã„ã‚‹ã‚ˆã†ãªå ´åˆã«ã€‚ã‚ã¨ setup.py ã§ include_package_data=True ã‚‚å¿…è¦ã£ã½ã„ï¼Ÿ

python
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æ–‡æ›¸ã®é¡žä¼¼åº¦ã‚’è¨ˆç®—ã™ã‚‹æ–¹æ³•ã«ã€Œã‚³ã‚µã‚¤ãƒ³é¡žä¼¼åº¦ã€ã‚’ç”¨ã„ã‚‹æ–¹æ³•ãŒã‚ã‚Šã¾ã™ã€‚ ã“ã‚Œã¯ã€å‡ºç¾ã™ã‚‹å˜èªžã‚’å‡ºç¾å›žæ•°ãªã©ã§æ•°å€¤åŒ–ã—ã¦ã€ç©ºé–“ãƒ™ã‚¯ãƒˆãƒ«ã«å¤‰æ›ã—ãŸä¸Šã§ãƒ™ã‚¯ãƒˆãƒ«åŒå£«ã®é¡žä¼¼åº¦ã‚’è¨ˆç®—ã™ã‚‹ã€ã¨ã„ã†æ‰‹æ³•ã§ã™ã€‚ ã‚³ã‚µã‚¤ãƒ³é¡žä¼¼åº¦ http://www.cse.kyoto-su.ac.jp/~g0846020/keywords/cosinSimilarity.html æœ€è¿‘ã€ã“ã®ã‚³ã‚µã‚¤ãƒ³é¡žä¼¼åº¦ã‚’ä½¿ã£ã¦ã€ä¼¼ã¦ã„ã‚‹ãƒ‡ãƒ¼ã‚¿ã‚’æ¤œç´¢ã™ã‚‹Webã‚¢ãƒ—ãƒªã‚’è©¦ã—ã«ä½œã£ã¦ã„ãŸã®ã§ã™ãŒã€ãµã¨ã€ ã€Œã“ã®ã‚³ã‚µã‚¤ãƒ³é¡žä¼¼åº¦ã‚’ä½¿ã£ãŸã‚½ãƒ¼ãƒˆå‡¦ç†ã‚’PostgreSQLã§ã©ã®ã‚ˆã†ã«å®Ÿè£…ã™ã‚‹ã¨ã‚‚ã£ã¨ã‚‚é«˜é€Ÿãªå®Ÿè£…ã«ãªã‚‹ã®ã ã‚ã†ã‹ã€‚ã¾ãŸã€ç¾å®Ÿçš„ãªãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ã‚’è€ƒãˆãŸæ™‚ã«ãƒ‡ãƒ¼ã‚¿é‡ã‚„æ¬¡å…ƒã®ã‚µã‚¤ã‚ºã¯ã©ã“ã¾ã§å¢—ã‚„ã›ã‚‹ã®ã ã‚ã†ã‹ã€ ã¨ã„ã†ã“ã¨ãŒæ°—ã«ãªã‚Šã¾ã—ãŸã€‚ PostgreSQLã¯ã€ãã®æ‹¡å¼µæ€§ã®é«˜ã•ãŒã‚¦ãƒªã®ä¸€ã¤ã§ã™ãŒã€ãã®ãŸã‚ã€ŒUDFã‚’ä½œã‚‹ã€ã¨ã„ã†ã“ã¨ã‚’è€ƒãˆ
mooz 2017/01/24
MADlib ã‚„ sklearn ã§ UDF

postgresql

python
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Grumpy(Go running Python)ã‚’è©¦ã—ã¦ã¿ãŸã€‚ - Qiita
åº ã€Œã™ã”ãã‚¹ã‚±ãƒ¼ãƒ«ã™ã‚‹ã€ã€ã¨ã‹ã†ã¾ãæ›¸ãã‚‚ã®ã ãªãã€ã¨ ä»¥ä¸‹ã®ãƒ‹ãƒ¥ãƒ¼ã‚¹ã«ã‚ã‚‹æ„å‘³æ„Ÿå¿ƒã—ãŸã®ã§ã€Grumpy(Go running Python)ã‚’è©¦ã—ã¦ã¿ã‚‹ã“ã¨ã«ã€‚ ãƒžã‚¤ãƒŠãƒ“ãƒ‹ãƒ¥ãƒ¼ã‚¹ : Googleã€ã™ã”ãã‚¹ã‚±ãƒ¼ãƒ«ã™ã‚‹Pythonå®Ÿè¡Œç’°å¢ƒã‚’Goã§é–‹ç™º ãƒã‚¿å…ƒã®ãƒ–ãƒã‚°ã‚’èªã‚€ã€‚ ä¸Šè¨˜äº‹ã®ä¸èº«ã€ã€Šã™ã”ãã‚¹ã‚±ãƒ¼ãƒ«ã€‹ã¨ã„ã†è¦‹å‡ºã—ã‚’ä½œã‚‹ãŸã‚ã«å…ƒãƒ–ãƒã‚°ã‚’æŠœãæ›¸ãã—ãŸæ°—ãŒã—ãŸã‚Šã™ã‚‹ã®ã§ã€ãƒã‚¿å…ƒã®ãƒ–ãƒã‚°(å…ƒãƒ–ãƒã‚°)ã®æ–¹ã‚‚æ–œã‚èªã¿ã—ã¦ãŠã“ã†ã€‚ã€‚ Fibãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã«ãŠã‘ã‚‹é«˜ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ã«ã¤ã„ã¦ ã€Šã™ã”ãã‚¹ã‚±ãƒ¼ãƒ«ã€‹ã§ã®è¨˜è¿° : ã€ŒGrumpyã€ã¯ã¾ã å®Ÿé¨“æ®µéšŽã¨ã•ã‚Œã¦ã„ã‚‹ã‚‚ã®ã®ã€CPythonã¨æ¯”è¼ƒã—ã¦Fibãƒ™ãƒ³ãƒãƒžãƒ¼ã‚¯ã§é«˜ã„ã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ã‚’ç™ºæ®ã—ã¦ã„ã‚‹ã€‚ => å…ƒãƒ–ãƒã‚°ã§ã®è¨˜è¿°ã€‚ In particular, Grumpy has no global interpreter lock, and it
mooz 2017/01/14
Cæ‹¡å¼µæ©Ÿèƒ½ã‚’æ¨ã¦ã¦ GIL ã‚’æŽ’é™¤ã€‚ã‚·ãƒ³ã‚°ãƒ«ã‚¹ãƒ¬ãƒƒãƒ‰æ€§èƒ½ã¯CPythonã«è² ã‘ã‚‹ãŒã‚¹ã‚±ãƒ¼ãƒ©ãƒ“ãƒªãƒ†ã‚£ã§å‹ã‚‹ã€‚

golang

python
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blessings
Unverified details These details have not been verified by PyPI Project links Homepage Meta License: MIT License (MIT) Author: Erik Rose Tags terminal , tty , curses , ncurses , formatting , style , color , console Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.* Coding with Blessings looks like thisâ€¦ from blessings import Terminal t = Terminal() print t.bold('Hi there!') print t.bold_re
mooz 2016/12/23
curses ã¿ãŸã„ã«ç”»é¢ã‚’åˆæœŸåŒ–ã—ãªãã¦ã‚‚ä½¿ãˆã‚‹ãƒªãƒƒãƒ UI

python
ãƒªãƒ³ã‚¯
Typed Memoryviews â€” Cython 3.2.0 documentation
mooz 2016/12/07
cython ã§ ndarray ã‚’æ‰±ã†ã¨ãã«ã¯ typed memory view ã‚’ä½¿ã†ã®ãŒãƒ¢ãƒ€ãƒ³ã§ã‚ˆã„

python
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Installing â€” Fabric documentation
Note Users looking to install Fabric 1.x should see Installing (1.x). However, upgrading to 2.x is strongly recommended.
mooz 2016/11/24
deploy. fab command.

python
ãƒªãƒ³ã‚¯
GitHub - mbrochh/django-reactjs-boilerplate: An example how you can use ReactJS with your Django project.
mooz 2016/11/23
react + django

python

javascript
ãƒªãƒ³ã‚¯
How to have one colorbar for all subplots
I've spent entirely too long researching how to get two subplots to share the same y-axis with a single colorbar shared between the two in Matplotlib. What was happening was that when I called the colorbar() function in either subplot1 or subplot2, it would autoscale the plot such that the colorbar plus the plot would fit inside the 'subplot' bounding box, causing the two side-by-side plots to be
mooz 2016/09/09
python
ãƒªãƒ³ã‚¯
http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.value_counts.html
mooz 2016/09/06
df.Age.value_counts(sort=False, normalize=True).plot(kind="bar") ãªã©ã¨ã™ã‚‹ã¨ã‚«ãƒ†ã‚´ãƒªã‚«ãƒ«å€¤ã®é »åº¦åˆ†å¸ƒãŒç¢ºèªå‡ºæ¥ã‚‹

pandas

python
ãƒªãƒ³ã‚¯
GitHub - minrk/ipython_extensions: My IPython extensions
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mooz 2016/09/03
jupyter ã« table of contents ã‚’è¿½åŠ

jupyter

python
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Python and OpenCV Example: Warp Perspective and Transform
mooz 2016/08/20
perspective è£œæ£ã‚’ OpenCV ã§

python

cv
ãƒªãƒ³ã‚¯
Jupyter notebookã®ã‚¿ãƒ–å¹…ã‚’4ã‹ã‚‰2ã«å¤‰æ›´ã™ã‚‹ - kg86 Laboratory
mooz 2016/08/07
Jupyter Notebook ã§ CodeMirror ã®ã‚ªãƒ—ã‚·ãƒ§ãƒ³ã‚’ã„ã˜ã‚‹

jupyter

python
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InstallingOnWindows
mooz 2016/04/25
Anaconda @ windows ã§ Cython

python

windows
ãƒªãƒ³ã‚¯
pandasã§RDBã®èªã¿æ›¸ãã‚’ã™ã‚‹ | mwSoft
å‚è€ƒè³‡æ–™ mysqlã‚„sqliteã«ã¤ã„ã¦ã¯stackoverflowã®ä¸‹è¨˜è¨˜äº‹å‚ç…§ http://stackoverflow.com/questions/10065051/python-pandas-and-databases-like-mysql å°šã€ä¸Šè¨˜ã§ä½¿ã£ã¦ã„ã‚‹frame_queryã¯deprecatedã«ãªã£ã¦ã„ã¦ã€ç¾åœ¨ã§ã¯read_queryã‚’ä½¿ã†ã‚‰ã—ã„ã€‚ postgresqlã¨ã®æŽ¥ç¶š psycopg2ã‚’ä½¿ã† pip install psycopg2 SELECTã™ã‚‹éš›ã®é©å½“ãªã‚µãƒ³ãƒ—ãƒ«ã‚³ãƒ¼ãƒ‰ import psycopg2 as pg with pg.connect(database='db_name', user='user_name', host='host_name', port=5432) as conn, conn.cursor() as cur: cur.exec
mooz 2016/04/13
pandas ã® DB é€£æº

python

pandas
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