[B! python] sugyanã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯

sugyan id:sugyan

pythonã«é–¢ã™ã‚‹sugyanã®ãƒ–ãƒƒã‚¯ãƒžãƒ¼ã‚¯ (73)

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

${{author_name}}$
{{author_name}}{{created}}
{{ #comment }}{{ comment }}{{ /comment }}
- {{ label }}

${{author_name}}$

{{{comment_expanded}}}

{{label}}

{{#is_bookmark}}ãƒªã‚¹ãƒˆ{{/is_bookmark}}{{^is_bookmark}}ãƒªãƒ³ã‚¯{{/is_bookmark}}

Python 3.13 ã‹ã‚‰ã€Œå…†ã€ãŒ 10 ã® 6 ä¹—ã«ãªã£ã¦ã„ã‚‹ - ï¾ï½¸ï¾žï¾ï½¸ï¾ž (èµ·å‹•éŸ³)
ã“ã®è¨˜äº‹ã¯ 2024 TSG Advent Calendar 3æ—¥ç›®ã®è¨˜äº‹ã§ã™ã€‚æ˜¨æ—¥ã®è¨˜äº‹ã¯ @__dAi00 ã•ã‚“ã®è¨˜äº‹ AivisSpeechã‚’ä½¿ã£ãŸDiscordãƒœãƒƒãƒˆã®ä½œæˆã€€â‘ AivisSpeechã‚’Google Cloud Runã«ãƒ‡ãƒ—ãƒã‚¤ã™ã‚‹ ã§ã—ãŸã€‚12/5 å…¬é–‹äºˆå®šã®ç¶šç·¨ã‚‚æ¥½ã—ã¿ã§ã™ã€‚ ä»Šå›žã¯ã€åˆæ—¥ã«å…¬é–‹ã—ãŸä»¥ä¸‹ã®è¨˜äº‹ã®å‰¯ç”£ç‰©ã§ã™ã€‚ import unicodedata # Python 3.12 ã¾ã§ 1000000000000.0 # Python 3.13 ã‹ã‚‰ 1000000.0 print(unicodedata.numeric("å…†")) å¤§å¤‰ã ã€‚Python 3.13 ã‹ã‚‰ã€Œ5000 å…†å††ã€ãŒ 50 å„„å††ã«ãªã£ã¦ã—ã¾ã†ï¼ˆï¼Ÿï¼‰ unicodedata.numeric ãƒ¡ã‚½ãƒƒãƒ‰ã¨ Unicode ä¾‹ã«ã‚ˆã£ã¦ Unicode ãŒé–¢ä¿‚ã—ã¦ãã¾ã™ã€‚å‰ç·¨ã§ã‚‚è§¦ã‚ŒãŸã¨ãŠã‚Šã€
sugyan 2024/12/05
Unicodeã§ãã†ã„ã†å€¤ã‚’æŒã£ã¦ã‚‹ã¨ã„ã†ã“ã¨ã™ã‚‰çŸ¥ã‚‰ãªã‹ã£ãŸã€‚è¨€èªžã«ã‚ˆã£ã¦è¡çªã—ã¦ã—ã¾ã†ã¨ã©ã†ã—ã‚ˆã†ã‚‚ãªã„ã‚ˆãªãâ€¦

unicode

python
ãƒªãƒ³ã‚¯
ã‚ãªãŸã®Pythonã‚’100å€é«˜é€Ÿã«ã™ã‚‹æŠ€è¡“ / Codonå…¥é–€
ã¯ã˜ã‚ã« Pythonã¯ä¸–ç•Œçš„ã«ã‚‚äººæ°—ã®ã‚ã‚‹ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã§ã™ãŒã€å®Ÿè¡Œé€Ÿåº¦ã«ã¤ã„ã¦ã¯èª²é¡ŒãŒã‚ã‚Šã¾ã™ã€‚Pythonã®å®Ÿè¡Œé€Ÿåº¦ã‚’é«˜é€ŸåŒ–ã—ãŸã„ã€ã¨ã„ã†è¦æ±‚ã¯æ ¹å¼·ãã€ã“ã‚Œã¾ã§ã«ã‚‚æ§˜ã€…ãªãƒ„ãƒ¼ãƒ«ã‚„å‡¦ç†ç³»ãŒé–‹ç™ºã•ã‚Œã¦ã„ã¾ã™ã€‚ ã“ã®è¨˜äº‹ã§ã¯MITã®ç ”ç©¶è€…ã‚‰ãŒé–‹ç™ºã—ãŸPythonã‚’é«˜é€ŸåŒ–ã™ã‚‹ãƒ„ãƒ¼ãƒ«ã€ŒCodonã€ã«ã¤ã„ã¦ç´¹ä»‹ã—ã¾ã™ã€‚ ã“ã®è¨˜äº‹ã‚’3è¡Œã§ã¾ã¨ã‚ã‚‹ã¨ï¼š é«˜æ€§èƒ½ã§ç°¡å˜ã«æ‰±ãˆã‚‹Pythonã‚³ãƒ³ãƒ‘ã‚¤ãƒ©ã€ŒCodonã€ Pythonã¨ã®äº’æ›æ€§ãŒã‚ã‚ŠãªãŒã‚‰ã€Cã‚„C++ã«åŒ¹æ•µã™ã‚‹é«˜é€ŸåŒ–ã‚’å®Ÿç¾ å®Ÿéš›ã«Pythonã‚³ãƒ¼ãƒ‰ãŒ100å€é€Ÿããªã‚‹ã“ã¨ã‚’æ¤œè¨¼ Codonã¨ã¯ Codonã¯é«˜æ€§èƒ½ãªPythonã‚³ãƒ³ãƒ‘ã‚¤ãƒ©ã§ã™ã€‚å®Ÿè¡Œæ™‚ã®ã‚ªãƒ¼ãƒãƒ¼ãƒ˜ãƒƒãƒ‰ãªã—ã«Pythonã‚³ãƒ¼ãƒ‰ã‚’ãƒã‚¤ãƒ†ã‚£ãƒ–ãªãƒžã‚·ãƒ³ã‚³ãƒ¼ãƒ‰ã«ã‚³ãƒ³ãƒ‘ã‚¤ãƒ«ã—ã€ã‚·ãƒ³ã‚°ãƒ«ã‚¹ãƒ¬ãƒƒãƒ‰ã§10-100å€ä»¥ä¸Šã®é«˜é€ŸåŒ–ãŒå®Ÿç¾ã§ãã¾ã™ã€‚Codonã®é–‹ç™ºã¯Githubä¸Šã§è¡Œã‚ã‚Œã¦ãŠã‚Šã€2021
sugyan 2023/03/25
python

codon
ãƒªãƒ³ã‚¯
ã€ã‚·ãƒ§ãƒ¼ãƒˆã‚³ãƒ¼ãƒ‡ã‚£ãƒ³ã‚°ã€‘ Pythonã§ç©ºã®ã‚·ãƒ¼ã‚±ãƒ³ã‚¹ã‚’æ¸¡ã›ãªã„é–¢æ•°ã®å‘¨è¾º - Qiita
ã“ã®ã‚ˆã†ã«ã€iterableãŒå¼•æ•°ã«å–ã‚Œã‚‹ã‘ã©ã€ç©ºã®ã‚·ãƒ¼ã‚±ãƒ³ã‚¹ã‚’æ¸¡ã™ã¨ã‚¨ãƒ©ãƒ¼ã«ãªã£ã¦ã—ã¾ã†é–¢æ•°ãŒã‚ã‚Šã¾ã™ã€‚ã“ã®ã‚¨ãƒ©ãƒ¼ã‚’ã©ã†ã‚„ã£ã¦å›žé¿ã™ã‚‹ã®ã‹ã¨ã„ã†ã®ãŒä»Šå›žã®ãŠé¡Œã§ã™ã€‚ ãã‚Œå…·ä½“çš„ã«ã¯ã©ã®é–¢æ•°ï¼Ÿ ã“ã®ã‚ˆã†ãªé–¢æ•°ã¯Pythonã®çµ„ã¿è¾¼ã¿é–¢æ•°ã ã¨ã€ç§ã¯min()ã¨max()ãã‚‰ã„ã—ã‹æ€ã„ã¤ãã¾ã›ã‚“ã€‚ä»–ã«ã‚‚ã‚ã‚Œã°ã‚³ãƒ¡ãƒ³ãƒˆæ¬„ã§æ•™ãˆã¦ãã ã•ã„ã€‚ max()ã¯å¼•æ•°ãŒ1ã¤ã®æ™‚ã¯iterableã¨ã¿ãªã•ã‚Œã‚‹ ã„ã¾ã€ã‚·ãƒ¼ã‚±ãƒ³ã‚¹ãŒç©ºã®æ™‚ã¯ã€0ã‚’å‡ºåŠ›ã—ãŸã„ã¨ã—ã¾ã™ã€‚ã¾ãŸLã®è¦ç´ ã¯ã™ã¹ã¦1ä»¥ä¸Šã§ã‚ã‚‹ã¨ã—ã¾ã™ã€‚ æ¬¡ã®ã‚ˆã†ã«æ›¸ã‘ã°ã©ã†ã‹ã¨è¨€ã‚ã‚Œã‚‹ã‹ã‚‚çŸ¥ã‚Œã¾ã›ã‚“ãã€‚
sugyan 2022/11/26
python

golf
ãƒªãƒ³ã‚¯
GitHub - hoffstadt/DearPyGui: Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
sugyan 2022/10/11
python

GUI
ãƒªãƒ³ã‚¯
GitHub - facebookincubator/AITemplate: AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
sugyan 2022/10/04
framework

python

inference

performance
ãƒªãƒ³ã‚¯
Pythonäº’æ›ã®é™çš„åž‹ä»˜ã‘è¨€èªžã€ŒErgã€
æ‰¿å‰ Ergã¯ç§ãŒæ•°å¹´å‰ã‹ã‚‰é–‹ç™ºã‚’å§‹ã‚ã€ã¤ã„ä¸€æ˜¨æ—¥å…¬é–‹ã—ãŸã°ã‹ã‚Šã®ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã§ã™ã€‚ ã®ã¯ãšã§ã™ãŒã€ æ—©é€Ÿã€qnighyã•ã‚“ã«æ•æ‰ã—ã¦ã„ãŸã ãã¾ã—ãŸã€‚ã‚ã‚ŠãŒã¨ã†ã”ã–ã„ã¾ã™ã€‚ ã“ã®è¨˜äº‹ã§ã¯ãã®ErgãŒã©ã®ã‚ˆã†ãªè¨€èªžãªã®ã‹ã–ã£ãã‚Šã¨è§£èª¬ã—ã¦ã„ããŸã„ã¨æ€ã„ã¾ã™ã€‚ãªãŠã€ç´¹ä»‹ã—ãŸæ©Ÿèƒ½ã®ä¸€éƒ¨ã¯æœªå®Ÿè£…ã§ã™ã€‚å®Ÿè£…é€”ä¸ã®æ©Ÿèƒ½ã‚’å«ã‚€ã‚³ãƒ¼ãƒ‰ã«ã¯*ã‚’ã€å®Œå…¨ã«æœªå®Ÿè£…ã®æ©Ÿèƒ½ã‚’å«ã‚€ã‚³ãƒ¼ãƒ‰ã«ã¯**ã‚’ã¤ã‘ã¦ãŠãã¾ã™ã€‚ ã¯ã˜ã‚ã« Pythonã¯æ¦‚ãç´ æ™´ã‚‰ã—ã„è¨€èªžã§ã™ã€‚ ã‚ªãƒ•ã‚µã‚¤ãƒ‰ãƒ«ãƒ¼ãƒ«ã‚’ä¸–ã«çŸ¥ã‚‰ã—ã‚ãŸ(?)ã€ãã®å¯èªæ€§ã®é«˜ã„æ–‡æ³•ã€‚Numpy, SciPyã‚’å§‹ã‚ã¨ã™ã‚‹æ©Ÿæ¢°å¦ç¿’ã€ç§‘å¦æŠ€è¡“è¨ˆç®—ç”¨ã®è†¨å¤§ãªãƒ©ã‚¤ãƒ–ãƒ©ãƒªã€‚ ã—ã‹ã—Pythonã«ã‚‚ã„ãã¤ã‹ã®å¼±ç‚¹ãŒå˜åœ¨ã—ã¾ã™ã€‚ ã¾ãšã€å‹•çš„åž‹ä»˜ã‘ ã§ã‚ã‚‹ã“ã¨ã€‚ãã‚Œè‡ªä½“ã¯å¼±ç‚¹ã¨ã„ã†ã‚ˆã‚Šè‰¯ã—æ‚ªã—ãªã®ã§ã™ãŒã€æ˜Žã‚‰ã‹ã«å‹•çš„åž‹ä»˜ã‘ã§ã¯æ‰‹ã«ä½™ã‚‹Python ãƒ—ãƒã‚¸ã‚§ã‚¯ãƒˆãŒä¸–ã«æº¢ã‚Œã¦ã„ã¾ã™ã€‚ æ¬¡ã«ã€ä¸€è²«
sugyan 2022/08/13
python

language

Erg
ãƒªãƒ³ã‚¯
ã¯ã˜ã‚ã« â€” ãƒžãƒ³ã‚¬ã¨å¦ã¶ãƒ‡ãƒ¼ã‚¿ãƒ“ã‚¸ãƒ¥ã‚¢ãƒ©ã‚¤ã‚¼ãƒ¼ã‚·ãƒ§ãƒ³
ã¯ã˜ã‚ã«# ãƒ‡ãƒ¼ã‚¿ãƒ“ã‚¸ãƒ¥ã‚¢ãƒ©ã‚¤ã‚¼ãƒ¼ã‚·ãƒ§ãƒ³ã¨ã¯ï¼Œæ•°å€¤ã‚„æ–‡ç« ãªã©ã®ãƒ‡ãƒ¼ã‚¿ã«åŸºã¥ã„ãŸæƒ…å ±ã‚’ï¼Œäººé–“ãŒç†è§£ã—ã‚„ã™ã„å½¢ã«è¦–è¦šåŒ–ã™ã‚‹æŠ€è¡“ã‚’æŒ‡ã—ã¾ã™ï¼Ž ã“ã®ã‚µã‚¤ãƒˆã¯ï¼Œæ–‡åŒ–åºã®ãƒ¡ãƒ‡ã‚£ã‚¢èŠ¸è¡“ãƒ‡ãƒ¼ã‚¿ãƒ™ãƒ¼ã‚¹ãƒ»ãƒ©ãƒœï¼ˆMADB Labï¼‰ã§å…¬é–‹ã•ã‚Œã¦ã„ã‚‹å››å¤§å°‘å¹´èªŒï¼ˆ é€±åˆŠå°‘å¹´ã‚µãƒ³ãƒ‡ãƒ¼ï¼Œ é€±åˆŠå°‘å¹´ã‚¸ãƒ£ãƒ³ãƒ—ï¼Œ é€±åˆŠå°‘å¹´ãƒãƒ£ãƒ³ãƒ”ã‚ªãƒ³ï¼Œ é€±åˆŠå°‘å¹´ãƒžã‚¬ã‚¸ãƒ³ ï¼‰ã®ãƒ‡ãƒ¼ã‚¿ã‚’ç”¨ã„ã¦ï¼Œãƒ‡ãƒ¼ã‚¿ãƒ“ã‚¸ãƒ¥ã‚¢ãƒ©ã‚¤ã‚¼ãƒ¼ã‚·ãƒ§ãƒ³ã®å¦ç¿’ã‚’æ‰‹åŠ©ã‘ã™ã‚‹ã“ã¨ã‚’ç›®æŒ‡ã—ã¦ã„ã¾ã™ï¼Ž ãƒ‡ãƒ¼ã‚¿ãƒ“ã‚¸ãƒ¥ã‚¢ãƒ©ã‚¤ã‚¼ãƒ¼ã‚·ãƒ§ãƒ³ï¼ˆã«é™ã‚‰ãšãƒ‡ãƒ¼ã‚¿åˆ†æžå…¨èˆ¬ï¼‰ã®å¦ç¿’ã«ãŠã„ã¦é‡è¦ãªã®ã¯ï¼Œåˆ†æžå¯¾è±¡ã®ãƒ‡ãƒ¼ã‚¿ã«èˆˆå‘³ã‚’æŒã¦ã‚‹ã‹ã©ã†ã‹ã§ã™ï¼Ž æœ¬æ›¸ã§ã¯ç´„47å¹´ã®å››å¤§å°‘å¹´èªŒã®ãƒžãƒ³ã‚¬ä½œå“ãƒ‡ãƒ¼ã‚¿ã‚’æŽ¡ç”¨ã—ã¦ã„ã‚‹ãŸã‚ï¼Œãƒ¢ãƒãƒ™ãƒ¼ã‚·ãƒ§ãƒ³ã‚’ä¿ã¡ã¤ã¤å¦ç¿’ã‚’é€²ã‚ã‚‹ã“ã¨ãŒå¯èƒ½ã§ã™ï¼Ž
sugyan 2022/05/02
python

visualization

manga
ãƒªãƒ³ã‚¯
Polars
Polars is an open-source library for data manipulation, known for being one of the fastest data processing solutions on a single machine. It features a well-structured, typed API that is both expressive and easy to use. Polars Cloud is launching at the end of this year for early-stage customers. This platform takes care of the compute infrastructure, so you only need to focus on writing queries. S
sugyan 2021/12/17
dataframe

library

Rust

python
ãƒªãƒ³ã‚¯
Loggingãƒ¢ã‚¸ãƒ¥ãƒ¼ãƒ«ã§ã¯ã˜ã‚ã‚‹ãƒã‚°å‡ºåŠ›å…¥é–€ / Introduction to Python Logging
PyCon JP 2021 ç™»å£‡è³‡æ–™: https://2021.pycon.jp/time-table/?id=272259
sugyan 2021/10/18
python

logging
ãƒªãƒ³ã‚¯
å°†æ£‹ã¨Pythonã®ç´ æ•µãªå‡ºä¼šã„ è°·åˆ å»£ç´€
Shared with Dropbox
sugyan 2021/10/15
ç¾å½¹ãƒ—ãƒæ£‹å£«ã§ã“ã®åœ§å€’çš„ãªã‚¢ã‚¦ãƒˆãƒ—ãƒƒãƒˆé‡â€¦ã™ã”ã™ãŽã‚‹

python

å°†æ£‹

presentation
ãƒªãƒ³ã‚¯
pipã¨pipenvã¨poetryã®æŠ€è¡“çš„ãƒ»æ´å²çš„èƒŒæ™¯ã¨ãã®å±•æœ› - Stimulator
- ã¯ã˜ã‚ã« - Pythonã®ãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ç®¡ç†ãƒ„ãƒ¼ãƒ«ã¯ã€é•·ã‚‰ãä¹±ä¸–ã«ã‚ã‚‹ã¨è¨€ãˆã‚‹ã€‚ ç‰¹ã«pipã€pipenvã€poetryã¨ã„ã†ãƒ„ãƒ¼ãƒ«ã®ç™»å ´ã‚·ãƒ¼ãƒ³å‰å¾Œã§ã¯ã€å¤šãã®å¤‰é©ãŒã‚‚ãŸã‚‰ã•ã‚ŒãŸã€‚ æœ¬è¨˜äº‹ã¯ã€Pythonãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ç®¡ç†ãƒ„ãƒ¼ãƒ«ã§ã‚ã‚‹pipã€pipenvã€poetryã®3ã¤ã«ç€ç›®ã—ã€ãã‚Œãžã‚Œã®ãƒ„ãƒ¼ãƒ«ã«å¯¾ã—ã¦ãƒ•ãƒ©ãƒƒãƒˆãªèƒŒæ™¯ã€æŠ€è¡“çš„ãªèª¬æ˜Žã‚’ç¤ºã—ãªãŒã‚‰ã€æ‰€å±žä¼æ¥å†…ã«ã¦poetryç§»è¡Œå¤§è‡£ã¨ã—ã¦1å¹´æ´»å‹•ã—ãŸä¸Šã§ã®çµŒé¨“ã€ç§»è¡Œã®æ„å›³ã«ã¤ã„ã¦ç¶´ã‚Šã€ä»Šå¾Œã®Pythonãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ç®¡ç†ã®å±•æœ›ã«ã¤ã„ã¦å¦„æƒ³ã™ã‚‹ã‚‚ã®ã§ã‚ã‚‹ã€‚ æ³¨æ„ï¼šæœ¬è¨˜äº‹ã¯Pythonãƒ‘ãƒƒã‚±ãƒ¼ã‚¸ç®¡ç†ã®ãƒ™ã‚¹ãƒˆãƒ—ãƒ©ã‚¯ãƒ†ã‚£ã‚¹ã‚’ä¸»å¼µã™ã‚‹è¨˜äº‹ã§ã¯ã‚ã‚Šã¾ã›ã‚“ã€‚èƒŒæ™¯ã‚’ç†è§£ã—è‡ªã‚‰ã®é–‹ç™ºç’°å¢ƒã‚„çŠ¶æ…‹ã«å¿œã˜ã¦é©åˆ‡ã«æŠ€è¡“é¸å®šã§ãã‚‹ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã“ãè‰¯ã„ã‚½ãƒ•ãƒˆã‚¦ã‚§ã‚¢ã‚¨ãƒ³ã‚¸ãƒ‹ã‚¢ã§ã‚ã‚‹ã¨ç†è€…ã¯è€ƒãˆã¦ã„ã¾ã™ã€‚ é‡è¦ãªãƒã‚¤ãƒ³ãƒˆã®ã¿æŠŠæ¡ã—ãŸã„å ´åˆã¯ã€å„ç« ã®æœ€å¾Œã®ã¾ã¨ã‚ã‚’èªã‚“ã§é ‚
sugyan 2021/03/30
python

environment
ãƒªãƒ³ã‚¯
Pythonã®linter/formatterã‚’èª°ã§ã‚‚æ‰‹è»½ã«è¨å®šã§ãã‚‹ã‚ˆã†ã«ã™ã‚‹ãŸã‚ã®PFNç¤¾å†…ãƒ„ãƒ¼ãƒ« â€œpysenâ€ ã®ç´¹ä»‹ - Preferred Networks Research & Development
Home Blog Pythonã®linter/formatterã‚’èª°ã§ã‚‚æ‰‹è»½ã«è¨å®šã§ãã‚‹ã‚ˆã†ã«ã™ã‚‹ãŸã‚ã®PFNç¤¾å†…ãƒ„ãƒ¼ãƒ« â€œpysenâ€ ã®ç´¹ä»‹ Pythonå‘ã‘ã®linter/formatterè¨å®šãƒ„ãƒ¼ãƒ«ã€Œpysenã€ã‚’ pypi.org ãŠã‚ˆã³ github.com ã§ä¸€èˆ¬å…¬é–‹ã—ã¾ã—ãŸã€‚ ã“ã®ãƒ„ãƒ¼ãƒ«ã¯ä¸»ã«Pythonå‘ã‘ã®linter/formatterã®è¨å®šã‚’ä¸€å…ƒç®¡ç†ã—ã€Preferred Networksç¤¾å†…ã§ã‚ˆãä½¿ã‚ã‚Œã¦ã„ã‚‹ãƒ„ãƒ¼ãƒ«ç’°å¢ƒã‚’èª°ã§ã‚‚ç°¡å˜ã«è¨å®šã§ãã‚‹ã‚ˆã†ã«æ”¯æ´ã™ã‚‹ãƒ„ãƒ¼ãƒ«ã§ã™ã€‚ãƒãƒ¼ãƒ ã”ã¨ã«åˆ†æ•£ã—ã†ã‚‹ã‚ˆã†ãªãƒ„ãƒ¼ãƒ«ã«é–¢ã™ã‚‹ãƒŽã‚¦ãƒã‚¦ã‚’ã‚³ãƒ¼ãƒ‰ã¨ã—ã¦é›†ç´„ã—ã€PFNç¤¾å†…ã§ã®å…±æœ‰ã‚’ä¿ƒé€²ã•ã›ã‚‹ã“ã¨ã‚’ç›®çš„ã¨ã—ã¦é–‹ç™ºã—ã¦ã„ã¾ã™ã€‚pysenã¯å®Ÿéš›ã«PFNç¤¾å†…ã§ä½¿ã‚ã‚Œã¦ãŠã‚Šã€2020å¹´4æœˆã«é–‹ç™ºãŒã‚¹ã‚¿ãƒ¼ãƒˆã—ã¦ã‹ã‚‰ã€2021å¹´3æœˆç¾åœ¨ã§ãŠã‚ˆã100ã‚’è¶…ãˆã‚‹ç¤¾å†…ãƒªãƒã‚¸ãƒˆãƒªã«å°Žå…¥ã•ã‚Œã¦ã„ã¾ã™ã€‚ ä¸Šå›³:
sugyan 2021/03/26
python

PFN

tool
ãƒªãƒ³ã‚¯
GitHub - RustPython/RustPython: A Python Interpreter written in Rust
You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
sugyan 2021/02/14
Rust

python
ãƒªãƒ³ã‚¯
GitHub - satwikkansal/wtfpython: What the f*ck Python? ðŸ˜±
Exploring and understanding Python through surprising snippets. Translations: Chinese ä¸æ–‡ | Vietnamese Tiáº¿ng Viá»‡t | Spanish EspaÃ±ol | Korean í•œêµì–´ | Russian Ð ÑƒÑÑÐºÐ¸Ð¹ | German Deutsch | Add translation Other modes: Interactive Website | Interactive Notebook Python, being a beautifully designed high-level and interpreter-based programming language, provides us with many features for the programmer's com
sugyan 2021/02/11
python

language
ãƒªãƒ³ã‚¯
ã•ã‚ˆãªã‚‰Flask ã‚ˆã†ã“ãFastAPI / goodbye Flask, welcome FastAPI
DeNAç¤¾å†…ã®æŠ€è¡“å…±æœ‰ä¼šã§FastAPIã®ä¾¿åˆ©ã•ã«ã¤ã„ã¦èªžã£ãŸè³‡æ–™ã§ã™ã€‚ â–¼ è¦ç‚¹ ãƒ»æ©Ÿæ¢°å¦ç¿’ã®æŽ¨è«–APIç«‹ã¦ã‚‹ç”¨é€”ãªã‚‰FastAPIãŒä¾¿åˆ© ãƒ»åž‹å®šç¾©ã§é–‹ç™ºUXã°ã£ã¡ã‚Š ãƒ»ãƒ‰ã‚ãƒ¥ãƒ¡ãƒ³ãƒˆè‡ªå‹•ç”Ÿæˆã§ã¤ãªãŽã“ã¿ã‚‚å††æ»‘ â–¼ ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ https://github.com/amaotoneâ€¦
sugyan 2021/01/28
python

api
ãƒªãƒ³ã‚¯
JAXå…¥é–€ï½žé«˜é€ŸãªNumPyã¨ã—ã¦ä½¿ã„ã“ãªã™ãŸã‚ã®ãƒãƒ¥ãƒ¼ãƒˆãƒªã‚¢ãƒ«ï½ž - Qiita
TensorFlow Advent Calendar 2020ã€€10æ—¥ç›®ã®è¨˜äº‹ã§ã™ã€‚ç©ºã„ã¦ãŸã®ã§å½“æ—¥é£›ã³å…¥ã‚Šã§å‚åŠ ã—ã¾ã—ãŸã€‚ ã“ã®è¨˜äº‹ã§ã¯ã€TensorFlowã®é–¢é€£ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã§ã‚ã‚‹ã€ŒJAXã€ã«ã¤ã„ã¦åˆæ©çš„ãªä½¿ã„æ–¹ã€ãƒãƒžã‚Šã©ã“ã‚ã€GPUãƒ»TPUã§ã®ä½¿ã„æ–¹ã‚„ã€ç”»åƒå‡¦ç†ã¸ã®å¿œç”¨ã«ã¤ã„ã¦è§£èª¬ã—ã¾ã™ã€‚ JAXã¨ã¯ https://github.com/google/jax Googleè£½ã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã§ã€Autogradã¨XLAã‹ã‚‰ãªã‚‹ã€æ©Ÿæ¢°å¦ç¿’ã®ãŸã‚ã®æ•°å€¤è¨ˆç®—ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã€‚ç°¡å˜ã«è¨€ã†ã¨ã€Œè‡ªå‹•å¾®åˆ†ã«ç‰¹åŒ–ã—ãŸã€GPUã‚„TPUã«å¯¾å¿œã—ãŸé«˜é€ŸãªNumPyã€ã€‚NumPyã¨ã»ã¨ã‚“ã©åŒã˜æ„Ÿè¦šã§æ›¸ãã“ã¨ãŒã§ãã¾ã™ã€‚è‡ªå‹•å¾®åˆ†ã«ã¤ã„ã¦ã¯è§£èª¬ãŒå¤šã„ã®ã§ã€ã“ã®è¨˜äº‹ã§ã¯å˜ãªã‚‹é«˜é€ŸãªNumPyã®éƒ¨åˆ†ã‚’ä¸å¿ƒã«æ›¸ã„ã¦ã„ãã¾ã™ã€‚ é–¢é€£è¨˜äº‹ JAX Quickstart JAXã§å§‹ã‚ã‚‹ãƒ‡ã‚£ãƒ¼ãƒ—ãƒ©ãƒ¼ãƒ‹ãƒ³ã‚° JAX : Tutorials
sugyan 2020/12/17
JAX

numpy

python
ãƒªãƒ³ã‚¯
ã‚ªãƒ¬ ãƒ—ãƒã‚°ãƒ©ãƒ ã‚¦ã‚´ã‚«ã‚¹ ã‚ªãƒžã‚¨ ã‚²ãƒ³ã‚·ã‚¸ãƒ³ ãƒŠãƒ« - Qiita
import requests import json import sys BASE_URL = "https://api.ce-cotoha.com/api/dev/" CLIENT_ID = "ã‚ªãƒžã‚¨ ã‚¢ã‚¤ãƒ‡ã‚£ ã‚¤ãƒ¬ãƒ«" CLIENT_SECRET = "ã‚ªãƒžã‚¨ ã‚·ãƒ¼ã‚¯ãƒ¬ãƒƒãƒˆ ã‚¤ãƒ¬ãƒ«" def auth(client_id, client_secret): token_url = "https://api.ce-cotoha.com/v1/oauth/accesstokens" headers = { "Content-Type": "application/json", "charset": "UTF-8" } data = { "grantType": "client_credentials", "clientId": client_id, "clientSecret": cli
sugyan 2019/02/12
ã‚³ãƒŽ ãƒãƒƒã‚½ã‚¦ ãƒŠã‚«ãƒƒã‚¿ ã‚ªãƒ¢ã‚·ãƒã‚¤

python

NLP
ãƒªãƒ³ã‚¯
é«˜é€ŸãªPythonã®å°†æ£‹ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚’ä½œã‚‹ - TadaoYamaokaã®é–‹ç™ºæ—¥è¨˜
python-shogiã¯ã€Pythonã§æ‰±ãˆã‚‹éžå¸¸ã«å½¹ç«‹ã¤å°†æ£‹ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã§ã™ãŒã€é€Ÿåº¦ãŒé…ã„ã®ãŒç”¨é€”ã«ã‚ˆã£ã¦ã¯æ¬ ç‚¹ã«ãªã‚Šã¾ã™ã€‚ å…¬å¼ã‚µã‚¤ãƒˆã«ã‚‚è¨˜è¿°ã•ã‚Œã¦ã„ã¾ã™ãŒã€é€Ÿåº¦ã‚ˆã‚Šã‚‚ã‚·ãƒ³ãƒ—ãƒ«ã«æŠ½è±¡çš„ã«æ‰±ãˆã‚‹ã“ã¨ãŒç›®çš„ã¨ãªã£ã¦ã„ã¾ã™ã€‚ ã—ã‹ã—ã€æ©Ÿæ¢°å¦ç¿’ã®ç”¨é€”ã«ä½¿ç”¨ã—ã‚ˆã†ã¨ã™ã‚‹é€Ÿåº¦ã®é…ã•ãŒãƒãƒƒã‚¯ã«ãªã‚Šã¾ã™ã€‚ ãã“ã§Pythonã‹ã‚‰ã‚‚ã§ãã‚‹ã ã‘é«˜é€Ÿã«å‹•ä½œã™ã‚‹å°†æ£‹ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚’ä½œæˆã™ã‚‹ã“ã¨ã«ã—ã¾ã—ãŸã€‚ python-shogiã®å†…éƒ¨ã§ã¯ã€ç›¤é¢ã¯ãƒ“ãƒƒãƒˆãƒœãƒ¼ãƒ‰ã§è¡¨ç¾ã•ã‚Œã¦ã„ã¾ã™ãŒã€Pythonã®ãƒ“ãƒƒãƒˆæ¼”ç®—ã¯éžå¸¸ã«é…ããƒœãƒˆãƒ«ãƒãƒƒã‚¯ã¨ãªã£ã¦ã„ã¾ã™ã€‚ ãƒ“ãƒƒãƒˆæ¼”ç®—éƒ¨åˆ†ã‚’C++ã§é–‹ç™ºã—ã¦ã€Pythonã‹ã‚‰å‘¼ã³å‡ºã›ã‚‹ã‚ˆã†ã«ã™ã‚‹ã“ã¨ã§é€Ÿåº¦ã®æ”¹å–„ãŒè¦‹è¾¼ã¾ã‚Œã¾ã™ã€‚ C++ã§å°†æ£‹ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚’ä¸€ã‹ã‚‰ä½œæˆã™ã‚‹ã®ã‚‚ãƒãƒžãƒ³ãŒã‚ã‚Šã¾ã™ãŒã€ã»ã¨ã‚“ã©æ—¢å˜ã®ãƒ©ã‚¤ãƒ–ãƒ©ãƒªã‚’ã¾ãã‚‹ã ã‘ã«ãªã‚‹ãŸã‚ã€C++éƒ¨åˆ†ã«Aperyã®ã‚½ãƒ¼ã‚¹ã‚³ãƒ¼ãƒ‰ã‚’ä½¿ç”¨ã•ã›ã¦ã‚‚ã‚‰ã„ã€A
sugyan 2019/02/12
python

shogi
ãƒªãƒ³ã‚¯
Pythonã§å¦ã¶å¼·åŒ–å¦ç¿’ -å…¥é–€ã‹ã‚‰å®Ÿè·µã¾ã§-ã‚’æ›¸ãã¾ã—ãŸ
ç´„1å¹´åŠã»ã©ã‹ã‹ã‚Šã¾ã—ãŸãŒã€ã€ŒPythonã§å¦ã¶å¼·åŒ–å¦ç¿’ å…¥é–€ã‹ã‚‰å®Ÿè·µã¾ã§ã€ã‚’æ›¸ãä¸Šã’ã¾ã—ãŸã€‚æœ¬è¨˜äº‹ã§ã¯Asian Kung-Fu Generationã•ã‚“ãŒã‚¢ãƒ«ãƒãƒ ç™ºå£²ã®åº¦ã«è¡Œã£ã¦ã„ã‚‹å…¨æ›²è§£èª¬ã«ã®ã£ã¨ã‚Šã€å„ç« ã®è¦‹æ‰€ã‚„è‹¦åŠ´ã—ãŸç‚¹ã‚’ç´¹ä»‹ã—ãŸã„ã¨æ€ã„ã¾ã™ã€‚
sugyan 2019/01/17
python

book

ReinforcementLearning
ãƒªãƒ³ã‚¯
ç§ãŸã¡ã¯ã„ã‹ã«ã—ã¦ç’°çŠ¶ç·šã§â€æ‚ªã•ã‚’ã™ã‚‹åˆ—è»Šâ€ã‚’æ•ã¾ãˆãŸã‹ | ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚° | POSTD
æ–‡ï¼šDaniel Simã€€åˆ†æžï¼šLee Shangqianã€Daniel Simã€Clarence Ng ã“ã“æ•°ãƒ¶æœˆã€ã‚·ãƒ³ã‚¬ãƒãƒ¼ãƒ«ã®MRTç’°çŠ¶ç·šã§ã¯åˆ—è»ŠãŒä½•åº¦ã‚‚æ¢ã¾ã‚‹ã‚‚ã®ã®ã€ãã®åŽŸå› ãŒåˆ†ã‹ã‚‰ãªã„ãŸã‚ã€é€šå‹¤å®¢ã®å¤§ããªæ··ä¹±ã‚„å¿ƒé…ã®ç¨®ã¨ãªã£ã¦ã„ã¾ã—ãŸã€‚ ç§ã‚‚å¤šãã®åŒåƒšã¨åŒã˜ã‚ˆã†ã«ç’°çŠ¶ç·šã‚’ä½¿ã£ã¦ãƒ¯ãƒ³ãƒŽãƒ¼ã‚¹ã®ã‚ªãƒ•ã‚£ã‚¹ã«é€šã£ã¦ã„ã¾ã™ã€‚ãã®ãŸã‚ã€11æœˆ5æ—¥ã«åˆ—è»ŠãŒæ¢ã¾ã‚‹åŽŸå› ã‚’èª¿æŸ»ã™ã‚‹ä¾é ¼ãŒãƒãƒ¼ãƒ ã«æ¥ãŸæ™‚ã¯ã€ãŸã‚ã‚‰ã†ã“ã¨ãªãæ¥å‹™ã«æºã‚ã‚‹ã“ã¨ã‚’å¿—é¡˜ã—ã¾ã—ãŸã€‚ é‰„é“é‹å–¶ä¼šç¤¾SMRTã¨é™¸ä¸Šäº¤é€šåºï¼ˆLTAï¼‰ã«ã‚ˆã‚‹äº‹å‰èª¿æŸ»ã‹ã‚‰ã€ã„ãã¤ã‹ã®é›»è»Šã®ä¿¡å·ã‚’æ¶ˆå¤±ã•ã›ã‚‹ä¿¡å·ã®å¹²æ¸‰ãŒã‚ã‚Šã€ãã‚ŒãŒã‚¤ãƒ³ã‚·ãƒ‡ãƒ³ãƒˆã‚’å¼•ãèµ·ã“ã™ã“ã¨ãŒæ—¢ã«åˆ†ã‹ã£ã¦ã„ã¾ã—ãŸã€‚ä¿¡å·ãŒæ¶ˆå¤±ã™ã‚‹ã¨åˆ—è»Šã®å®‰å…¨æ©Ÿèƒ½ã§ã‚ã‚‹ç·Šæ€¥ãƒ–ãƒ¬ãƒ¼ã‚ãŒä½œå‹•ã™ã‚‹ãŸã‚ã€ä¸è¦å‰‡ã«é›»è»ŠãŒæ¢ã¾ã‚‹åŽŸå› ã¨ãªã‚Šã¾ã™ã€‚ ã—ã‹ã—8æœˆã«åˆã‚ã¦ç™ºç”Ÿã—ãŸä»Šå›žã®ã‚¤ãƒ³ã‚·ãƒ‡ãƒ³ãƒˆã¯ã€ä¸è¦å‰‡ã«èµ·ã“ã£ã¦ã„ã‚‹ã‚ˆã†ã«è¦‹ãˆã‚‹ãŸ
sugyan 2017/02/25
æ§˜ã€…ãªåˆ†æžã‚’è©¦ã¿ã¦ã¤ã„ã«åŽŸå› ã‚’çªãæ¢ã‚ã‚‹ã€‚ã™ã”ã„ é¢ç™½ã„

DataAnalysis

python

visualization
ãƒªãƒ³ã‚¯
1 2 3 4 æ¬¡ã®ãƒšãƒ¼ã‚¸