Python Yields are Fun!
While you can optimize the heck out of your Python code with `generators` and `generator expressions` I'm more interested in goofing around and solving classic programming questions with the `yield` statement. **note:** For this article, since it's easier to explain things as they happen, I'll be including a lot of inline comments. Let's start with a simple function that returns a sequence of some
Python Generator Hacking
The document discusses Python generator functions and expressions, providing examples of how generator functions can be used to iteratively yield values like in a countdown, and how generator expressions are similar to list comprehensions but produce values iteratively instead of building a list. The document also discusses using generators to process data files like summing the bytes transferred
Iterables, Iterators and Generators: part 2
This is the second part of the talk I gave January 24, 2013 at the Ottawa Python Authors Group. Part One introduces Python iterables and iterators and generators. This part covers the advanced use of generators while building an interactive two-player network game. Generators in Depth Generators’ ability to accept as well as produce data is useful for many purposes. The interface to generator obje
Iterables, Iterators and Generators: part 1
This is part one of a talk I gave January 24, 2013 at the Ottawa Python Authors Group Part Two is now also available. Both parts of this presentation are also available as a single IPython Notebook which you can download and run locally, or view with nbviewer.ipython.org. The complete source is available at https://github.com/wardi/iterables-iterators-generators A Gentle Introduction The first few
Decorators, Scrapers and Generators | CUPPSTER.COM
Whoever said scraping web pages can’t be fun never tried it using Python decorators and generators! We’ll use this mini-framework to fetch all the upcoming comic book releases from one of my favorite online comic book stores. A couple of interesting things going on here programmatically: 1) using decorators that are static methods of a class that maintains some state for the decorated operations a
Bouncing Python's Generators With A Trampoline - /usr/sbin/blog
Alex's Geekery Journal. This blog has been deprecated. Go here for the new /usr/sbin/blog In this post, I’m going to combine two of my favorite topics: recursion and Python’s generators. My aim is to address a real pain point in Python: its lack of tail call optimization. Let’s start with a simple countdown function that counts from start to 0 using recursion: Recursive Countdown
Python: generator expression vs. yield
There are only slight differences in the two. You can use the dis module to examine this sort of thing for yourself. Edit: My first version decompiled the generator expression created at module-scope in the interactive prompt. That's slightly different from the OP's version with it used inside a function. I've modified this to match the actual case in the question. As you can see below, the "yield
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Pythonic Lazy Evaluation – Paul Masurel
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