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pandasã§1000ä¸‡ä»¶ã®ãƒ‡ãƒ¼ã‚¿ã®å‰å‡¦ç†ã‚’é«˜é€Ÿã«ã™ã‚‹Tipsé›† - Qiita
ã¯ã˜ã‚ã« å½“ç¤¾ã«ã‚¢ãƒ«ãƒã‚¤ãƒˆã«æ¥ã¦ã„ãŸäººï¼ˆæ¥æ˜¥ã«æ–°å’å…¥ç¤¾ã®äºˆå®šï¼‰ã«ã€Œpandasã‚’é«˜é€ŸåŒ–ã™ã‚‹ãŸã‚ã®æƒ…å ±ã¯ç„¡ã„ã§ã™ã‹ï¼Ÿã€ã¨å°‹ãã‚‰ã‚Œã¾ã—ãŸã€‚ ã“ã®ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ã®ä½¿ã„æ–¹ã¯å¤šæ•°ã®æ›¸ç±ã‚„Webã§ä½“ç³»ç«‹ã£ãŸè¨˜äº‹ã§æ›¸ã‹ã‚Œã¦ã„ã¾ã™ã€‚ ã—ã‹ã—ã€é«˜é€ŸåŒ–ã«é–¢ã—ã¦ã¯ä½“ç³»çš„ãªæƒ…å ±æºãŒæ€ã„ã¤ã‹ãªã‹ã£ãŸã®ã§ã€ã€Œå®Ÿéš›ã«æ›¸ã„ã¦ã¿ã¦ã€1ã¤1ã¤ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã™ã‚‹ã—ã‹ãªã„ã§ã™ã€ã¨ã—ã‹ç”ãˆã‚‰ã‚Œã¾ã›ã‚“ã§ã—ãŸã€‚ ãã“ã§ã€ã“ã®æ–¹ã‚’å§‹ã‚ã€æ¥æ˜¥ï¼ˆ2019å¹´4æœˆï¼‰ã«ãƒ‡ãƒ¼ã‚¿ã‚¢ãƒŠãƒªã‚¹ãƒˆã¾ãŸã¯ãƒ‡ãƒ¼ã‚¿ã‚µã‚¤ã‚¨ãƒ³ãƒ†ã‚£ã‚¹ãƒˆã«ãªã‚‹æ–°å’ã¸å‘ã‘ã¦ã€pandasã®é«˜é€ŸåŒ–ã«é–¢ã™ã‚‹ç§ã®çµŒé¨“ã‚’Tipsé›†ã«ã—ã¦ãŠä¼ãˆã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ ã“ã®è¨˜äº‹ã¯ä»Šå¾Œã‚‚å†…å®¹ã‚’å……å®Ÿã•ã›ã‚‹ãŸã‚ã«ã€Tipsã‚’è¿½åŠ ã—ã¦ã„ãã¾ã™ã€‚ ã“ã®è¨˜äº‹ã‚’èªã‚“ã å¾Œã«ã§ãã‚‹ã‚ˆã†ã«ãªã‚‹ã“ã¨ pandasã§ãƒ¬ã‚³ãƒ¼ãƒ‰æ•°1000ä¸‡ä»¶ã®ãƒ‡ãƒ¼ã‚¿ã§ã‚‚1åˆ†ä»¥å†…ã§å®Œäº†ã™ã‚‹å‰å‡¦ç†ãŒæ›¸ã‘ã‚‹ã‚ˆã†ã«ãªã‚Šã¾ã™ã€‚ ãã®çµæžœã€1æ—¥ä¸å®Ÿè¡Œã—ç¶šã‘ãªã‘ã‚Œã°ãª
hide_o_55 2018/12/22
python

pandas
ãƒªãƒ³ã‚¯
GitHub - erikbern/ann-benchmarks: Benchmarks of approximate nearest neighbor libraries in Python
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hide_o_55 2018/11/20
python

ann
ãƒªãƒ³ã‚¯
Neural Network Libraries by Sony
by Sony An open source software to make research, development and implementation of neural network more efficient. Get Started Features Write less do more Neural Network Libraries allows you to define a computation graph (neural network) intuitively with less amount of code. Dynamic computation graph support Dynamic computation graph used enables flexible runtime network construction. The Library
hide_o_55 2017/06/27
C++

deep learning

Python
ãƒªãƒ³ã‚¯
wheelã®ã‚ã‚ŠãŒãŸã•ã¨Anacondaã¸ã®è¦æœ› - YAMAGUCHI::weblog
ã¯ã˜ã‚ã« ã“ã‚“ã«ã¡ã¯ã€Pythonç•Œã®ãƒ©ãƒ•ã‚¡ã‚¨ãƒ«ãƒ»ãƒŠãƒ€ãƒ«ã§ã™ã€‚å…¨è±ªã‚ªãƒ¼ãƒ—ãƒ³ãƒ†ãƒ‹ã‚¹ã€ç››ã‚Šä¸ŠãŒã‚Šã¾ã—ãŸãã€‚ã•ã¦ã€å…ˆæ—¥æ¬¡ã®ã‚ˆã†ãªã‚¨ãƒ³ãƒˆãƒªãƒ¼ã‚’ç«‹ã¦ç¶šã‘ã«æ›¸ã„ãŸã‚“ã§ã™ãŒã€ã€ŒãªãœAnacondaã«é–¢ã—ã¦ã®è¨˜è¿°ãŒãªã„ã®ã‹ã€ã¨ã„ã†çªã£è¾¼ã¿ã‚’ã‚‚ã‚‰ã£ãŸã®ã§ã€å‚ç…§ç”¨ã«ãƒ¡ãƒ¢ã‚’æ®‹ã—ã¦ãŠãã¾ã™ã€‚ Pythonã®ä»®æƒ³ç’°å¢ƒæ§‹ç¯‰ 2017.01ç‰ˆ - YAMAGUCHI::weblog Pythonã®ç’°å¢ƒè¨å®šã§ã‚€ã‹ã¤ã„ã¦ã‚‹äººã¯ã¨ã‚Šã‚ãˆãšã“ã‚Œã‚’ã‚³ãƒ”ãƒšã§å®Ÿè¡Œã—ã¦ãã ã•ã„ 2017.01 - YAMAGUCHI::weblog ãªãŠã“ã®è¨˜äº‹ã®ä½œæˆã«ã‚ãŸã£ã¦ã¯ @aodag ã«æ•°å¤šãã®ã‚¢ãƒ‰ãƒã‚¤ã‚¹ã‚’ã„ãŸã ãã¾ã—ãŸã€‚ã“ã®å ´ã‚’å€Ÿã‚Šã¦æ„Ÿè¬ã€‚ TL;DR condaã®é–‹ç™ºè€…ã¯PyPAã¨ã‚‚ã£ã¨ã‚³ãƒŸãƒ¥ãƒ‹ã‚±ãƒ¼ã‚·ãƒ§ãƒ³ã¨ã£ã¦ã»ã—ã„ã€‚ å‰æ ã“ã®è¨˜äº‹ã¯Pythonã‚’è§¦ã‚Šå§‹ã‚ãŸã°ã‹ã‚Šã ã‘ã©ã€ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ç®¡ç†ãƒ„ãƒ¼ãƒ«ç‰ã€…ã®ã‚¹ã‚¿ãƒ³ãƒ€ãƒ¼ãƒ‰ãŒã©ã®ã‚ˆã†ã«ãªã£ã¦ã„ã‚‹ã‹ãª
hide_o_55 2017/02/03
python
ãƒªãƒ³ã‚¯
Pyston Now 95% Faster Than CPython, But Dropbox Just Stopped Supporting It - Phoronix
Pyston Now 95% Faster Than CPython, But Dropbox Just Stopped Supporting It Written by Michael Larabel in Programming on 31 January 2017 at 03:38 PM EST. 36 Comments Back in 2014 Dropbox announced the Pyston project as an open-source JIT compiler to Python focusing upon maximum performance. With this newest Pyston release (v0.6.1) they are now 95% faster than CPython, but Dropbox is ending their in
hide_o_55 2017/02/01
python
ãƒªãƒ³ã‚¯
Grumpy: Go running Python!
The latest news from Google on open source releases, major projects, events, and student outreach programs. Google runs millions of lines of Python code. The front-end server that drives youtube.com and YouTubeâ€™s APIs is primarily written in Python, and it serves millions of requests per second! YouTubeâ€™s front-end runs on CPythonÂ 2.7, so weâ€™ve put a ton of work into improving the runtime and adap
hide_o_55 2017/01/05
golang

python
ãƒªãƒ³ã‚¯
Python ã® dict ã®å®Ÿè£…è©³è§£ : DSASé–‹ç™ºè€…ã®éƒ¨å±‹
@methane ã§ã™ã€‚ æœ€è¿‘ Python ã® dict ã‚’ãƒãƒƒã‚¯ã—ã¦ã„ã‚‹ã®ã§ã€ãã®ç´¹ä»‹ã‚’ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚ ã§ã™ãŒã€ã¾ãšã“ã®è¨˜äº‹ã§ã¯ç¾åœ¨ (Python 3.6a2) ã® dict ã®å®Ÿè£…ã‚’è©³è§£ã—ã¾ã™ã€‚ ãƒ‡ãƒ¼ã‚¿æ§‹é€ åŸºæœ¬ã¨ãªã‚‹æ§‹é€ ä½“ã¯3ã¤ã§ã™ã€‚(Python 3.6a2 ã®ã‚½ãƒ¼ã‚¹ã‚ˆã‚Šå¼•ç”¨) typedef struct _dictkeysobject PyDictKeysObject; typedef struct { PyObject_HEAD Py_ssize_t ma_used; PyDictKeysObject *ma_keys; PyObject **ma_values; } PyDictObject; typedef struct { /* Cached hash code of me_key. */ Py_hash_t me_hash; PyObject *me_key;
hide_o_55 2016/06/23
python
ãƒªãƒ³ã‚¯
prompt_toolkit ãŒã‚¢ãƒ„ã„ - methaneã®ãƒ–ãƒã‚°
ã¨ã‚Šã‚ãˆãš mycli ã¨ aws-shell ã®ã‚¹ã‚¯ãƒªãƒ¼ãƒ³ã‚ãƒ£ã‚¹ãƒˆã‚’è¦‹ã¦ãã ã•ã„ã€‚ prompt_toolkit ã¯ã“ã®ã‚ˆã†ãªãƒªãƒƒãƒã‚³ãƒ³ã‚½ãƒ¼ãƒ«ã‚¢ãƒ—ãƒªã‚’ä½œã‚‹ãŸã‚ã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã§ã™ã€‚ Windows ã§ã‚‚å‹•ãã¾ã™ã€‚ Jupyter (ipython notebook) ã‚’åˆ‡ã‚Šé›¢ã—ãŸã€ã‚³ãƒ³ã‚½ãƒ¼ãƒ«ç‰ˆã® ipython ã‚‚æ¬¡ã®ãƒ¡ã‚¸ãƒ£ãƒ¼ãƒãƒ¼ã‚¸ãƒ§ãƒ³ã§ã¯ readline ãƒ™ãƒ¼ã‚¹ã‹ã‚‰ prompt_toolkit ãƒ™ãƒ¼ã‚¹ã«ä½œã‚ŠãªãŠã•ã‚Œã¦ã„ã¾ã™ã€‚ ipython ä»¥å¤–ã«ã‚‚ ptpython ã¨ã„ã†ã‚·ã‚§ãƒ«ã‚‚ã‚ã‚Šã€ ipython ã®å„ç¨® magic ãŒä¸è¦ãªå ´åˆã¯ã“ã¡ã‚‰ã§ååˆ†ã§ã—ã‚‡ã†ã€‚ https://github.com/jonathanslenders/python-prompt-toolkit#projects-using-prompt-toolkit ã«ã¯ã€ä»–ã«ã‚‚ prompt_toolkit ã‚’æŽ¡ç”¨
hide_o_55 2016/03/02
python
ãƒªãƒ³ã‚¯
PyPy 4.0.0 Released - A Jit with SIMD Vectorization and More
Weâ€™re pleased and proud to unleash PyPy 4.0.0, a major update of the PyPy python 2.7.10 compatible interpreter with a Just In Time compiler. We have improved warmup time and memory overhead used for tracing, added vectorization for numpy and general loops where possible on x86 hardware (disabled by default), refactored rough edges in rpython, and increased functionality of numpy. You can download
hide_o_55 2015/10/30
PyPy

Python
ãƒªãƒ³ã‚¯
GitHub - MagicStack/MagicPython: Cutting edge Python syntax highlighter for Sublime Text, Atom and Visual Studio Code. Used by GitHub to highlight your Python code!
This is a package with preferences and syntax highlighter for cutting edge Python 3, although Python 2 is well supported, too. The syntax is compatible with Sublime Text, Atom and Visual Studio Code. It is meant to be a drop-in replacement for the default Python package. Attention VSCode users: MagicPython is used as the default Python highlighter in Visual Studio Code. Don't install it unless you
hide_o_55 2015/10/20
Python
ãƒªãƒ³ã‚¯
CPython ã® GC ãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚° - methaneã®ãƒ–ãƒã‚°
ISUCON ã¯ Go ã§å‚æˆ¦ã—ã¦ã„ã‚‹ã‚“ã ã‘ã©ã€è¤‡æ•°ã®ãƒãƒ¼ãƒ ãŒ Python ã§äºˆé¸é€šéŽã—ãŸã‚‰ã—ã„ã®ã§ã€å¿œæ´ã®ãŸã‚ã« Tips ã‚’å…¬é–‹ã—ã¦ã„ã“ã†ã¨æ€ã†ã€‚ ç›®æ¬¡ CPython ã® GC ã«ã¤ã„ã¦ çµ±è¨ˆæƒ…å ±ã‚’å‡ºåŠ›ã™ã‚‹ ç¬¬ä¸€ä¸–ä»£GCã®é–“éš”ã‚’èª¿æ•´ã™ã‚‹ Out of Band GC å¾ªç’°å‚ç…§ã‚’è¦‹ã¤ã‘ã¦å¯¾å‡¦ã™ã‚‹ CPython ã® GC ã«ã¤ã„ã¦ CPython ã®GCã¯å‚ç…§ã‚«ã‚¦ãƒ³ãƒˆï¼‹å¾ªç’°å‚ç…§ã‚³ãƒ¬ã‚¯ã‚¿ã ã€‚ãã—ã¦å‚ç…§ã‚«ã‚¦ãƒ³ãƒˆæ–¹å¼ã¯(å¹¾ã¤ã‹ã®æ¬ ç‚¹ã¯ã‚ã‚‹ã‚‚ã®ã®)Webã‚¢ãƒ—ãƒªã®ãƒœãƒˆãƒ«ãƒãƒƒã‚¯ã«ãªã£ãŸã‚Šã¯ã—ã«ãã„ã€‚ ãªã®ã§GCãƒãƒ¥ãƒ¼ãƒ‹ãƒ³ã‚°ã®åŸºæœ¬ã¯æ¬¡ã®ã‚ˆã†ã«ãªã‚‹ã€‚ å¾ªç’°å‚ç…§ã‚’é¿ã‘ã‚‹ å¾ªç’°å‚ç…§ã‚³ãƒ¬ã‚¯ã‚¿ã®å‘¼ã³å‡ºã—ã‚¿ã‚¤ãƒŸãƒ³ã‚°ã‚’åˆ¶å¾¡ã™ã‚‹ å¾ªç’°å‚ç…§ã‚³ãƒ¬ã‚¯ã‚¿ã¯ã€ç”Ÿãã¦ã„ã‚‹ã‚ªãƒ–ã‚¸ã‚§ã‚¯ãƒˆã®æ•°ãŒã‚ã‚‹ç¨‹åº¦å¢—ãˆã‚‹ã¨ç¬¬ä¸€ä¸–ä»£ãŒå®Ÿè¡Œã•ã‚Œã€ç¬¬ä¸€ä¸–ä»£ãŒä¸€å®šå›žæ•°å®Ÿè¡Œã•ã‚Œã‚‹ã¨ç¬¬äºŒä¸–ä»£ãŒã€ç¬¬äºŒä¸–ä»£ãŒä¸€å®šå›žæ•°å®Ÿè¡Œã•ã‚Œã‚‹ã¨ç¬¬ä¸‰ä¸–ä»£ãŒå®Ÿè¡Œã•ã‚Œã‚‹ã€‚ å„ä¸–ä»£
hide_o_55 2015/10/13
python
ãƒªãƒ³ã‚¯
Python3.5ã®æ–°æ©Ÿèƒ½ - Qiita
ã¯ã˜ã‚ã« é–‹ç™ºãƒãƒ¼ãƒ‰ãƒžãƒƒãƒ—(PEP-478)ã«ã‚ˆã‚‹ã¨æ£å¼ãƒªãƒªãƒ¼ã‚¹ãŒ9/13(ãŠãã‚‰ãUSæ™‚é–“)ã«äºˆå®šã•ã‚Œã¦ã„ã‚‹Python 3.5ã€‚è¿½åŠ ã®ãƒªãƒªãƒ¼ã‚¹å€™è£œ(rc4)ãŒ9/9ã«ãƒªãƒªãƒ¼ã‚¹ã•ã‚ŒãŸã“ã¨ã‚‚ã‚ã‚Šã€å¤šå°‘é…ã‚Œã‚‹å¯èƒ½æ€§ã‚‚ã‚ã‚‹ãŒã€ãŠãã‚‰ãã¯ä¸€é€±é–“ä»¥å†…ã«ã§ã‚‹ã“ã¨ã§ã‚ã‚ã†ã€‚ã¨ã„ã†ã“ã¨ã§ã€Python3.5ã®å¤‰æ›´ç‚¹ã®æ—¥æœ¬èªžã¾ã¨ã‚ + ä¸€è¨€ã‚³ãƒ¡ãƒ³ãƒˆã‚’ã—ã¦ã¿ãŸã€‚å…ƒãƒã‚¿ã¯ã“ã¡ã‚‰ã®å†’é ã«ã‚ã‚‹ "Summary - Release Highlights"ã€‚ ãªãŠã€Python3.5ã‚’è©¦ã™ã«ã¯ã€æœ€æ–°ã®ãƒªãƒªãƒ¼ã‚¹å€™è£œã‚’ã“ã“ã‹ã‚‰ãƒ€ã‚¦ãƒ³ãƒãƒ¼ãƒ‰ã™ã‚Œã°ã‚ˆã„ã€‚ã‚ã‚‹ã„ã¯pyenvã‚’ä½¿ã£ã¦ã„ã‚‹äººã¯pyenv installã§ç°¡å˜ã«å°Žå…¥ã§ãã‚‹ãŒã€pyenvã®æœ€æ–°ç‰ˆv20150901ã§ã¯rc2ã¾ã§ã—ã‹ã‚µãƒãƒ¼ãƒˆã•ã‚Œã¦ã„ãªã„ã®ã§ãã‚Œã§æˆ‘æ…¢ã™ã‚‹ã‹ã€pyenvã‚’HEADã‹ã‚‰å–ã£ã¦ãã‚‹å¿…è¦ãŒã‚ã‚‹ã€‚homebrewã‚’ä½¿ã£ã¦ã„ã‚‹å ´åˆã¯ã“ã‚“ãªæ„Ÿã˜ã€‚ P
hide_o_55 2015/09/13
python
ãƒªãƒ³ã‚¯
GitHub - go-python/gopy: gopy generates a CPython extension module from a go package.
gopy generates (and compiles) a CPython extension module from a go package. This is an improved version that works with current versions of Go (e.g., 1.15 -- should work with any future version going forward), and uses unique int64 handles to interface with python, so that no pointers are interchanged, making everything safe for the more recent moving garbage collector. It also supports python mod
hide_o_55 2015/08/27
golang

python
ãƒªãƒ³ã‚¯
PyPy ã‚’æœ¬ç•ªã«å°Žå…¥ã—ãŸ
è¨ˆç”»ã—ãŸã®ã¯åŠå¹´ä»¥ä¸Šå‰ã€æ¤œè¨¼ã¯ 2 ãƒ¶æœˆã‹ã‹ã£ãŸã€‚ çµæžœçš„ã«ã¯ CPU ä½¿ç”¨çŽ‡ã¯åŠåˆ†ã«ãªã‚Šæ€§èƒ½ã¯å€ã«ãªã£ãŸã€‚ã‚‚ã¡ã‚ã‚“ã€æœ¬ç•ªã§ã€ã ã€‚ ã“ã‚Œã‹ã‚‰å¾ã€…ã« CPython ç’°å¢ƒã‚’ PyPy ç’°å¢ƒã¸ã¨ç½®ãæ›ãˆã¦ã„ãã€‚PyPy ã®æœ€å¤§ã®é…åŠ›ã¯ãã®æ€§èƒ½ã ã‚ã†ã€‚æ€§èƒ½ãŒå¤§ããä¸ŠãŒã‚‹ãŸã‚ã€æ—¢å˜ç’°å¢ƒã«ã‹ã‹ã£ã¦ã„ã‚‹ã‚µãƒ¼ãƒè²»ç”¨ã‚’å‰Šæ¸›ã™ã‚‹ã“ã¨ãŒå‡ºæ¥ã‚‹ã€‚ ãŸã ã€æ³¨æ„ã—ã¦æ¬²ã—ã„ã®ã¯ PyPy ã¯ã¨ã¦ã¤ã‚‚ãªããƒ¡ãƒ¢ãƒªãƒ¼ã‚’æ¶ˆè²»ã™ã‚‹ã€‚ Python ç’°å¢ƒã§ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹å‘ä¸Šã‚’ç‹™ã†ã«ã¯ PyPy ã¯ã¨ã¦ã‚‚ã‚ˆã„é¸æŠžè‚¢ã ã¨æ€ã†ã€‚ã¨ã¦ã‚‚å®‰å®šã—ã¦ã„ã‚‹ã—ã€äº’æ›æ€§ãŒæœ¬å½“ã«é«˜ã„ã€‚ Python + Django ã¨ã„ã†ç’°å¢ƒã§ã€2 å€æ€§èƒ½ã‚’ä¸Šã’ã‚‹ã“ã¨ã¯ãã†ãã†å‡ºæ¥ãªã„ã€‚ ãŸã ã€PyPy ãŒæœ€å¾Œã®ç ¦ã§ã¯ã‚ã‚‹ã®ã§ã€ã“ã‚Œä»¥ä¸Šã®ãƒ‘ãƒ•ã‚©ãƒ¼ãƒžãƒ³ã‚¹ã‚’æœ›ã‚€å ´åˆã¯è¨€èªžã‚’å¤‰æ›´ã™ã‚‹å¿…è¦ãŒã‚ã‚‹ã€‚Golang ãªã®ã‹ Elixir ãªã®ã‹ã€‚ PyPy ã‚’å°Žå…¥ã—ãŸã“ã¨ã§ã€æ¬¡
hide_o_55 2015/08/10
â€œãŸã ã€æ³¨æ„ã—ã¦æ¬²ã—ã„ã®ã¯ PyPy ã¯ã¨ã¦ã¤ã‚‚ãªããƒ¡ãƒ¢ãƒªãƒ¼ã‚’æ¶ˆè²»ã™ã‚‹" ãªã‚‹ã»ã©

PyPy

python
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Python 2/3 ã§å°æ–‡å—ã‚¢ãƒ«ãƒ•ã‚¡ãƒ™ãƒƒãƒˆã¨ä¸¸æ‹¬å¼§ã ã‘ã§ãƒ—ãƒã‚°ãƒ©ãƒ ã‚’æ›¸ã - å…¼é›‘è¨˜
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hide_o_55 2015/05/11
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Project Jupyter
Free software, open standards, and web services for interactive computing across all programming languages JupyterLab: A Next-Generation Notebook Interface JupyterLab is the latest web-based interactive development environment for notebooks, code, and data. Its flexible interface allows users to configure and arrange workflows in data science, scientific computing, computational journalism, and ma
hide_o_55 2015/05/08
python
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Å·hat | Rodeo: A data science IDE for Python
Today we're excited to introduce a new project: Rodeo. Rodeo is an IDE that's built expressly for doing data science in Python. Think of it as a light weight alternative to the IPython Notebook. We've been using it for projects internally, but today we're releasing it to the public! We hope you like it as much as we do. Why we built it I like the IPython Notebook for presentations and tutorials, b
hide_o_55 2015/04/24
python
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Effective Python â€º The Book
Python is a versatile and powerful language, but leveraging its full potential requires more than just knowing the syntax. Effective Python: 125 Specific Ways to Write Better Python, 3rd Edition is your comprehensive guide to mastering Pythonâ€™s unique strengths and avoiding its hidden pitfalls. This updated edition (published by Pearson Addison-Wesley in November, 2024) builds on the acclaimed sec
hide_o_55 2015/03/13
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hide_o_55 2015/02/14
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Revenge of the Types: åž‹ã®å¾©è® - Qiita
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hide_o_55 2015/01/13
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