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  1. Presentation slides with Jupyter Notebook

    I presented at the PyCon 2016 Education Summit on "Doing Math with Python" day before yesterday and a lightning talk yesterday. This is the first time, I prepared a slide deck using Jupyter Notebook + Reveal.js. I was pleased with the content creation process and the end result. So, here ...

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  2. Replacing boto S3 mocks using moto in Python

    Let's say you have some Python application code which connects to Amazon S3 which retrieves the keys in a bucket. Very likely, the application would be using boto and the code would like this:

    import boto
    
    def get_s3_conn():
        return boto.connect_s3('<aws-access-key', '<aws-secret-key>')
    
    def list_keys():
        s3_conn = get_s3_conn()
        b = s3_conn ...
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  3. Mock objects and non-existent attributes/methods in Python

    Updated: Fixed typo in the last paragraph.

    Today, I was curious to see this behavior of Mock() objects when using mock:

    >>> from mock import Mock
    >>> m = Mock()
    >>> m.i_dont_exist
    <Mock name='mock.i_dont_exist' id='139841609578768'>
    >>> m.i_dont_exist()
    <Mock name='mock.i_dont_exist()' id='139841609106896'>
    

    The above is expected, since I have ...

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  4. A virtualenv first approach to Python projects

    I have until the last few months (of my ~4 years of working with Python) always worked without virtualenv for all my Python projects. Why? I think I found the whole idea of having to do the following two steps before I work on something cumbersome:

    • Remember the exact virtualenv ...
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  5. PYTHONHASHSEED and your tests

    Recently at work, I wanted to test a string which was being created by the urllib.urlencode() function. My first attempt was simple - test my expected string with that being created by the function above using unittest's assertEquals() function. It passed all the times I ran the tests before ...

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