Every once in a while, I run into a situation where I need dummy data to test my code against. If you need to do tests on a new database or table, you will run into the need for dummy data often. I recently came across an interesting package called Faker. Faker’s sole purpose is to create semi-random fake data. Faker can create fake names, addresses, browser user agents, domains, paragraphs and much more. We will spend a few moments in this article demonstrating some of Faker’s capabilities. Continue reading Python: Create Fake Data with Faker
Python includes a couple of modules for testing in its standard library: doctest and unittest. We will be looking at doctest in this article. The doctest module will search for pieces of text in your code that resemble interactive Python sessions. It will then execute those sessions to verify that they work exactly as written. This means that if you wrote an example in a docstring that showed the output with a trailing space or tab, then the actual output of the function has to have that trailing whitespace too. Most of the time, the docstring is where you will want to put your tests. The following aspects of doctest will be covered:
- How to run doctest from the terminal
- How to use doctest inside a module
- How to run a doctest from a separate file
Let’s get started! Continue reading Python Testing with doctest
There are several code analysis tools for Python. The most well known is pylint. Then there’s pychecker and now we’re moving on to pyflakes. The pyflakes project is a part of something known as the Divmod Project. Pyflakes doesn’t actually execute the code it checks, unlike pychecker. Of course, pylint also doesn’t execute the code. Regardless, we’ll take a quick look at it and see how pyflakes works and if it’s better than the competition. Continue reading pyflakes – the passive checker of Python programs
Python code analysis can be a heavy subject, but it can be very helpful in making your programs better. There are several Python code analyzers that you can use to check your code and see if they conform to standards. pylint is probably the most popular. It’s very configurable, customizable and pluggable too. It also checks your code to see if it conforms to PEP8, the official style guide of Python Core and it looks for programming errors too. We’re going to spend a few minutes looking at some of the things you can do with this handy tool. Continue reading PyLint: Analyzing Python Code
An appropriate alternate title would be: How to control a web page or test your website with Python. Recently, I was given the following assignment:
1) Login to a website
2) click on a toolbar and load a specific search form
3) enter some data into one of the fields on the form and search
4) if found, click another button
The venerated TiP BoF (Testing in Python “Birds of a Feather”) meeting was held Saturday (3/12/2011) night around 7 p.m. Disney provided free pizza and salads. Someone else (I think) provided some pop. The room was packed with standing room only in the back. While people were eating, Terry Peppers of Leapfrog led the meeting. He told us how the TiP BoF worked and then had one of his employees show us how to do weird hand/arm stretches. If I remember correctly, his name was Feihung Hsu.
After that, the testing-related lightning talks started. The lightning talks are really the main draw of this event, although in years past the alcohol induced many to come. This year, the hotel cracked down on that and there was hardly any liquor to be seen, which was alright by me. I only stayed for two hours, so I’ll just give a run-down of what I saw and heard:
- There were lots of masturbation and other crude jokes even before we ate anything and they continued through most of the time I was there
- Peppers started the talks off with one called Snakes on a domain which was about a nagios plugin called NagAconda
- Next, Disney awarded Jesse Noller with a Disney beer stein that was themed after their animated movie, “Tangled”.
- Alfredo Deza gave a talk a DSL-testing framework called Konira
- Following that was a talk on Cram – a mercurial test suite for command line testing. I missed who gave that one. I think it’s this one: https://bitbucket.org/brodie/cram/src
- Then there was a talk on Lab Coat. They had the speaker wear a lab coat too. I don’t remember who did this one (maybe the author?) or what this project even does…
- Roman Lisagor gave a talk on Freshen, a clone of Ruby’s Cucumber project. It’s a plugin for nose and supposed to be similar to the lettuce project.
- Kumar McMillan gave a talk entitled Fudging it with Mock Objects. Yes, it’s another mock library, but this one is based on some project called Mocha (and I think he said he used stuff from Michael Foord’s mock library as well). You can check it out here: http://farmdev.com/projects/fudge/
- The next talk was Scientific Testing in Python. My notes are bad on this one, but I think it was related to the Bright project (correct me if I’m wrong). The speaker also mentioned something called goathub.com, but as far as I can tell, that doesn’t really exist.
- Feihung Hsu made another appearance by giving a talk himself. It has this long title: How My comic Book obsession birthed a new functional tool. Basically it was web-scraping project for downloading Japanese manga that had been translated into Chinese using Python. He forked spynner, made it “dumber” and called his fork “Punky Browster”. I don’t think this project is available yet.
To sign up to give lightning talks, they used a convore thread. The front row was made up of hecklers that would heckle the speakers. They seemed to favor strong swearing for the heckling. It could be pretty funny and very crude. I learned about a lot of new projects I had never heard of though. It’s definitely something that I think is worth checking out at least once.
Python code testing is something new to me. It’s not required where I work, so I haven’t spent much time looking into it, besides reading a book on the subject and reading a few blogs. However, I decided it was high time I check this out and see what all the excitement is about. In this article, you will learn about Test Driven Development (TDD) with Python using Python’s builtin unittest module. This is actually based on my one experience of TDD and pair programming (thanks Matt and Aaron!). In this article, we will be learning how to score bowling with Python! Continue reading Python 102: An Intro to TDD and unittest