Schlagwörter: python*

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  1. PyPy.js is an experiment in building a fast and compliant python environment for the web.

    It uses the PyPy python interpreter, compiled for the web via emscripten, with a custom JIT backend that emits asm.js code at runtime.

    Try it out below, or see the links above for benchmarks and download information.
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  2. What is Locust?

    Locust is an easy-to-use, distributed, user load testing tool. It is intended for load-testing web sites (or other systems) and figuring out how many concurrent users a system can handle.

    The idea is that during a test, a swarm of locusts will attack your website. The behavior of each locust (or test user if you will) is defined by you and the swarming process is monitored from a web UI in real-time. This will help you battle test and identify bottlenecks in your code before letting real users in.

    Locust is completely event-based, and therefore it’s possible to support thousands of concurrent users on a single machine. In contrast to many other event-based apps it doesn’t use callbacks. Instead it uses light-weight processes, through gevent. Each locust swarming your site is actually running inside its own process (or greenlet, to be correct). This allows you to write very expressive scenarios in Python without complicating your code with callbacks.
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    Schlagwörter: , , von Felix Constantin Kraft (2017-12-24)
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  4. How I learned Python During those last years, I've been able to contribute to the biggest open source project written in Python – namely OpenStack. During that time, I had the opportunity to learn a lot of things, by reaching the boundaries of Python and its ecosystem and by rubbing shoulders with some of the greatest Python developers – some of them being developer of the Python language itself. After doing tons of code reviews and mentoring with my fellow engineers, I decided it was time to teach everyone what should be known about Python beyond the basics. Sure, you can code in Python. But is it good Python? Is it the state of the art? Are you sure you picked the right library? Supporting the right Python version? Distributing it correctly? Testing it perfectly? How would you know. That's why I wrote The Hacker's Guide to Python. It's the book I always wanted to read after on Python, but never found. And that's also why people love it!
    Schlagwörter: , , von Felix Constantin Kraft (2017-07-26)
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  5. Python Programming Guides and Tutorials
    Schlagwörter: , , , , von Felix Constantin Kraft (2017-02-01)
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  6. Falcon is a minimalist, high-performance web framework for building RESTful services and app backends with Python. Falcon works with any WSGI container that is compliant with PEP-3333, and works great with Python 2.6, Python 2.7, Python 3.3, Python 3.4 and PyPy, giving you a wide variety of deployment options.
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  7. PyParallel An experimental, proof-of-concept fork of Python 3 designed to optimally exploit multiple CPU cores, fast SSDs, NUMA architectures and 10Gb+ Ethernet networks. Removes the limitation of the Global Interpreter Lock (GIL) without needing to remove it at all.
    Schlagwörter: , von Felix Constantin Kraft (2017-01-19)
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  8. This is a collection of best practices and anti-patterns for Python and popular Python frameworks, such as Django, Flask or Odoo. Explore the different sections of this knowledge base, to increase the correctness, security, performance, maintainability, and readability of your Python code. Sign up for free to automatically monitor whether your own projects comply with all these best practices.
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