VirtualTam's bookmarks

  1. eg: display example usage for *nix commands
    2015-05-02
    command-line console documentation/man-page linux programming/python unix
    Permalink 
    1$ pip install eg
2$ eg <command>
  2. Tox: a generic virtualenv management and test command line tool
    2015-04-28
    development programming/python programming/python/virtualenv programming/testing unit
    Permalink

    https://bitbucket.org/hpk42/tox

  3. scikit-learn - Machine Learning in Python
    2015-04-26
    analysis artificial-intelligence data-mining machine-learning programming/python scipy
    Permalink
  4. Qu'est-ce qu'une coroutine en Python, et à quoi ça sert ? | Sam & Max
    2015-04-24
    coroutine event generator programming/python
    Permalink
  5. Twisted
    2015-04-24
    client network programming/python server twisted
    Permalink

    Twisted implements a variety of networking and communication protocols and exposes them all as method-calls on your Python objects. Client and server implementations are provided for various standard protocols, including:

    • HTTP (twisted.web)
    • IMAP, POP, SMTP (twisted.mail)
    • DNS (twisted.names)
    • TLS (core)
    • SSH, Telnet (twisted.conch)
    • IRC, XMPP, OSCAR (twisted.words)
    • Ethernet, IP, TUN/TAP (twisted.pair)
    • NMEA (twisted.positioning)

    https://twistedmatrix.com/trac/wiki/Documentation

  6. Un petit dashboard de monitoring avec Django et WAMP | Sam & Max
    2015-04-24
    admin crochet crossbar framework/django observability programming/python psutil requests resource wamp web
    Permalink
  7. Worksheet - Fart Detector | Raspberry Pi Learning Resources
    2015-03-19
    air detector embedded fart fun linux pi programming/python raspberry-pi smell wtf
    Permalink
  8. Worksheet - Getting Started with Minecraft Pi | Raspberry Pi Learning Resources
    2015-03-18
    game game/minecraft indie pi programming/python raspberry-pi sandbox
    Permalink

    http://www.stuffaboutcode.com/p/minecraft-api-reference.html

  9. The IPython Notebook - IPython
    2015-03-16
    calculus graph interpreter notebook programming/python programming/python/ipython render
    Permalink

    Jupyter Notebook viewer: https://github.com/jupyter/nbviewer

  10. Artificial Neurons and Single-Layer Neural Networks
    2015-03-16
    artificial-intelligence machine-learning neural-network programming/python
    Permalink
  11. Invent Your Own Computer Games with Python - 3rd Edition
    2015-03-16
    development game programming/python
    Permalink
  12. Generate Audio with Python - Zach Denton
    2015-03-15
    audio development programming/python sound
    Permalink
  13. django-c10k - 10 000 concurrent real-time connections to Django
    2015-03-13
    asynchronous connection conway framework/django game life programming/python
    Permalink
  14. Elpy, the Emacs Lisp Python Environment
    2015-03-08
    development editor/emacs ide mode programming/lisp programming/python
    Permalink
  15. Iterables vs. Iterators vs. Generators
    2015-03-03
    development evaluation generator iterator lazy list programming/python yield
    Permalink
  16. Misconceptions about testing (and what we should do about them)
    2015-02-22
    bug framework/django programming/python programming/testing quality unit
    Permalink
  17. Kimchi: KVM web management interface
    2015-02-14
    linux programming/python sysadmin virtualization virtualization/kvm web
    Permalink
  18. Become a Programmer, Motherfucker
    2015-02-13
    code design development mofo programming programming/c programming/c++ programming/java programming/lisp programming/python software
    Permalink

    Programming... Do you speak it?

  19. Python unit testing frameworks: Nose, Pytest
    2015-02-13
    code coverage feature nose programming/python programming/python/pytest programming/testing quality unit
    Permalink

    Python's built-in unittest module is quite cool, but a bit limited and way too verbose (read: it's quite not easy to incite developers to write unit tests)

    I'm currently looking for more dev-friendly solutions, the key points being:

    • writing test code should be easy and straight-forward -keep the focus on "what to test" instead of "how to transcribe a process to a test"
    • parallelization! -we, spoiled developers, should make good use of our way-too-many-cores build machines...
    • complete feature set!
      • we don't want to just run tests...
      • coverage reports (find dead/weak/untested code sections)
      • output formatting (JUnit-XML seems to be quite a common format out there)

    There seem to be 3 solutions in Python:

    • stock unittest + project-dependent customizations / test helpers
    • nosetests
    • py.test

    And 2 ways of gettings things done:

    • keeping things stock: no external dependency, project-specific implementation...
    • using a test framework: one more module in your (test) virtualenv, more concise tests, more features (// run, code coverage, etc.)

    Some links:

  20. Python: run specific unit tests
    2015-02-13
    bug code programming/functional-programming programming/python programming/testing quality unit
    Permalink

    Given your unittests are in the tests directory:

     1# run a specific test module
 2python -m unittest tests.<module>
 3 
 4# run a specific test suite
 5python -m unittest tests.<module>.<class>
 6 
 7# run a specific test
 8python -m unittest tests.<module>.<class>.<test>
 9 
10# run tests matching a given pattern
11python -m unittest discover -s tests -p <pattern>