VirtualTam's bookmarks

81. Building an ARM cluster

    2015-03-15
    arm beaglebone cloud-computing computation distributed distributed-system/cluster hack linux/container/docker network odroid sysadmin

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    http://mkaczanowski.com/building-arm-cluster-part-2-create-and-write-system-image-with-goback/ http://mkaczanowski.com/building-arm-cluster-part-3-docker-fleet-etcd-distribute-containers/

82. Python unit testing frameworks: Nose, Pytest

    2015-02-13
    code coverage feature nose programming/python programming/python/pytest programming/testing quality unit

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    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:

    • http://stackoverflow.com/questions/22856638/nose-vs-pytest-what-are-the-subjective-differences-that-should-make-me-pick
    • http://helixyte.org/2014/04/unit-testing-adventures-moving-from-nose-to-pytest/
    • http://lists.idyll.org/pipermail/testing-in-python/2013-August/005624.html
83. CI is hard! « Jacob Kaplan-Moss

    2014-11-24
    buildbot continuous-integration continuous-integration/jenkins development framework/django programming/python programming/testing unit web

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    http://jacobian.org/writing/ci-is-hard/ http://jacobian.org/writing/configuration-and-architecture/ https://github.com/jacobian-archive/django-buildmaster

84. Learn X in Y Minutes: Scenic Programming Language Tours

    2014-10-23
    development programming-language syntax

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    TL;DR: you won't.

    This website is rather a good memo regarding each language's foundations:

    • what's its general purpose?
    • how to write core instructions, such as functions, loops, conditional structures?

    I find this kind of reminder quite useful when it comes to documentation languages (e.g. TeX, Markdown)

85. Writing with Vim - jasonwryan.com

    2014-06-23
    console editor editor/vim linux programming/shell text

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86. How to write unmaintainable code

    2014-01-09
    code development programming programming/java tricks ugly unmaintainable

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