Yahoo Suche Web Suche

Suchergebnisse

1. Suchergebnisse:

1. www.jappy.comJappy - Deine Online-Community

   www.jappy.com

   • Im Cache

   Jappy ist eine Plattform, auf der du neue Freunde finden und dich mit ihnen austauschen kannst. Du kannst Emotionen, Sammelbilder, Karten und Geschenke nutzen, um dein Jappy zu verbessern.

   • Einloggen

     Einloggen. Eingeloggt bleiben. Passwort vergessen? Neu?...

   • Abos

     Abos - Jappy - Deine Online-Community

   • Chats

     Chats - Jappy - Deine Online-Community

   • Freunde Online

     Freunde Online - Jappy - Deine Online-Community

   • Login

     Was hat sich bei Jappy zuletzt geändert? Was ist Scam? Was...

   • Was Ist Der Chat Bei Jappy

     Was ist der Chat bei Jappy? Der Chat bei Jappy erlaubt die...

   • Emotionen

     Was hat sich bei Jappy zuletzt geändert? Was ist Scam? Was...

   • Neues Profil

     Wieso braucht Jappy dein ... Geburtsdatum: Eine Nutzung von...

2. github.com › sumerc › yappiGitHub - sumerc/yappi: Yet Another Python Profiler, but this time...

   github.com › sumerc › yappi

   • Im Cache

   • Yappi
   • Highlights
   • Motivation
   • Installation
   • Examples
   • Documentation
   • Related Talks
   • PyCharm Integration
   • GeneratedCaptionsTabForHeroSec

   A tracing profiler that is multithreading, asyncio and gevent aware.

   Komplette Liste auf github.com

   •Fast: Yappi is fast. It is completely written in C and lots of love and care went into making it fast.

   •Unique: Yappi supports multithreaded, asyncio and gevent profiling. Tagging/filtering multiple profiler results has interesting use cases.

   •Intuitive: Profiler can be started/stopped and results can be obtained from any time and any thread.

   •Standards Compliant: Profiler results can be saved in callgrind or pstat formats.

   •Rich in Feature set: Profiler results can show either Wall Time or actual CPU Time and can be aggregated from different sessions. Various flags are defined for filtering and sorting profiler results.

   •Robust: Yappi has been around for years.

   Komplette Liste auf github.com

   CPython standard distribution comes with three deterministic profilers. cProfile, Profile and hotshot. cProfile is implemented as a C module based on lsprof, Profile is in pure Python and hotshot can be seen as a small subset of a cProfile. The major issue is that all of these profilers lack support for multi-threaded programs and CPU time.

   If you want to profile a multi-threaded application, you must give an entry point to these profilers and then maybe merge the outputs. None of these profilers are designed to work on long-running multi-threaded applications. It is also not possible to profile an application that start/stop/retrieve traces on the fly with these profilers.

   Komplette Liste auf github.com

   Can be installed via PyPI

   OR from the source directly.

   Komplette Liste auf github.com

   A simple example: Profile a multithreaded application:

   You can profile a multithreaded application via Yappi and can easily retrieve per-thread profile information by filtering on ctx_id with get_func_stats API.

   Different ways to filter/sort stats:

   You can use filter_callback on get_func_stats API to filter on functions, modules or whatever available in YFuncStat object.

   Profile an asyncio application:

   You can see that coroutine wall-time's are correctly profiled.

   Komplette Liste auf github.com

   •Introduction

   •Clock Types

   •API

   •Coroutine Profiling (new in 1.2)

   •Greenlet Profiling (new in 1.3)

   Note: Yes. I know I should be moving docs to readthedocs.io. Stay tuned!

   Komplette Liste auf github.com

   Special thanks to A.Jesse Jiryu Davis:

   •Python Performance Profiling: The Guts And The Glory (PyCon 2015)

   Komplette Liste auf github.com

   Yappi is the default profiler in PyCharm. If you have Yappi installed, PyCharm will use it. See the official documentation for more details.

   Komplette Liste auf github.com

   Yappi is a fast and versatile tracing profiler that supports multithreading, asyncio and gevent. It can show wall time or CPU time, filter and sort results, and save in callgrind or pstat formats.

   Komplette Liste auf github.com

3. pypi.org › project › yappiyappi · PyPI

   pypi.org › project › yappi

   • Im Cache

   6. Jan. 2014 · yappi is a fast, multithreading, asyncio and gevent aware profiler for Python. It can show wall time or CPU time, call count, and filter/sort results for functions, modules, threads and coroutines.

4. www.jappy.com › help › dashboardJappy - Deine Online-Community

   www.jappy.com › help › dashboard

   • Im Cache

   Jappy ist eine Plattform, auf der du dich mit anderen Nutzern austauschen, Emotionen und Geschenke austauschen und dein Profil gestalten kannst. Erfahre mehr über dein Dashboard, die Widgets, die Einstellungen und die E-Mail-Benachrichtigungen.

5. coderzcolumn.com › tutorials › pythonyappi - Yet Another Python Profiler - CoderzColumn

   coderzcolumn.com › tutorials › python

   • Im Cache

   yappi is a fast and flexible Python profiler that supports profiling of multi-threaded, asyncio, and gevent code. Learn how to use yappi from command line or Python code, and how to format and filter profiling results.

6. github.com › sumerc › yappiyappi/doc/introduction.md at master · sumerc/yappi · GitHub

   github.com › sumerc › yappi

   • Im Cache

   Yappi is a lightweight and easy-to-use profiler for Python that supports CPU and wall time profiling, coroutine and greenlet profiling, and multithreading and asyncio awareness. Learn how to use Yappi with a simple example and see the output of profiling stats.