PyCon JP 2014 Slides | PyCon JP 2014 in TOKYO
Talks Day 1 Talk Sessions Djangoによるスマホアプリバックエンドの実装 Yuichi Nakazawa, Kazuhiko Kakita [Description] [Video] [Slides] Deep Learning for Image Recognition in Python (ja) Hideki Tanaka [Description] [Video] [Slides] Programming the Performance Co-Pilot toolkit (en) Nathan Scott [Description] [Video] [Slides(PDF)] Djangoアプリケーション、パフォーマンスチューニング Hiroki KIYOHARA [Description] [Video] [Slides] The esperanto
Locust.io
An open source load testing tool. Define user behaviour with Python code, and swarm your system with millions of simultaneous users. Define user behaviour in code No need for clunky UIs or bloated XML. Just plain code. Distributed & Scalable Locust supports running load tests distributed over multiple machines, and can therefore be used to simulate millions of simultaneous users Proven & Battle-te
Frida • A world-class dynamic instrumentation toolkit
Dynamic instrumentation toolkit for developers, reverse-engineers, and security researchers. Scriptable Inject your own scripts into black box processes. Hook any function, spy on crypto APIs or trace private application code, no source code needed. Edit, hit save, and instantly see the results. All without compilation steps or program restarts. Portable Works on Windows, macOS, GNU/Linux, iOS, wa
Python Object Graphs — objgraph 3.6.2 documentation
Python Object Graphs¶ objgraph is a module that lets you visually explore Python object graphs. You’ll need graphviz if you want to draw the pretty graphs. I recommend xdot for interactive use. pip install xdot should suffice; objgraph will automatically look for it in your PATH. Installation and Documentation¶ pip install objgraph or download it from PyPI. Documentation lives at https://mg.pov.lt
Anatomy of a Large Django site
Apr 11, 201112 likes3,091 viewsAI-enhanced description This document summarizes Andy McKay's presentation on the anatomy of Mozilla's large Django site. It discusses performance optimizations including caching, reducing SQL queries, async tasks with Celery, and localization. It also covers code reuse through libraries like Bleach and JavaScript testing. Testing, linting, and continuous integration
PyCon Taiwanから出題「Python: Word Transformer!」問題の一言評価フィードバック～面白い解答コード12名分公開 #pycontw - CodeIQ Blog
CodeIQ中の人、millionsmileです。 2013年5月25日～26日に台湾でPyCon(Python Conference)が開催され、その主催者であるTim HsuさんとYung-Yu Chenさんから「Word Transformer!」というPython問題が出題されました。 問題はわずか5日の掲載期間だったにもかかわらず、39名ものPythonistaの方々に挑戦いただきました！ありがとうございます。 出題者のTimさんからは、どの解答もレベルが高く素晴らしい！と感動の声が届いております。 After review these solution, I surprisingly find there are a lot of possible way to solve the problem. These submission extend my understandin
pudb
Unverified details These details have not been verified by PyPI Meta License: MIT License Author: Andreas Kloeckner Requires: Python ~=3.8 Provides-Extra: completion Classifiers Development Status 4 - Beta Environment Console Console :: Curses Intended Audience Developers License OSI Approved :: MIT License Natural Language English Operating System POSIX Unix Programming Language Python Python ::
CPython Compilers
Parsers Ply PLY is an implementation of lex and yacc parsing tools for Python. Website Docs PyParsing The pyparsing module is an alternative approach to creating and executing simple grammars, vs. the traditional lex/yacc approach, or the use of regular expressions. The pyparsing module provides a library of classes that client code uses to construct the grammar directly in Python code. Website Do
New Tail Recursion Decorator « Python recipes « ActiveState Code
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 import sys def tail_recursion_with_stack_inspection(g): ''' Version of tail_recursion decorator using stack-frame inspection. ''' loc_vars ={"in_loop":False,"cnt":0} def result(*args, **kwd): if not loc_vars["in_loop"]:
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