Skip to main content

How to Exploit All of You For Traffic

People go through a few different stages of programming Python, and one of the last is learning to optimize well and without sacrificing the quality of the code. When a piece of code is bottlenecking, it comes time to look at how you can really turn a turtle into a hare. Or, should that be the other way around?

I want to showcase ways this transformation is possible so I'm going to make a call for anyone to submit code that needs optimized. The next post in this series will show how the code was optimized, what techniques might have been tried and would have failed, and maybe some tips about why the changes worked. There will also be a sample of unoptimized code at the end, with the challenge for improvements to be sent in. From there, if the series has interest, it will continue and maybe evolve.

Send in samples of code you think could be faster. They can be real world or fake, as long as they are realistic. It doesn't matter how poorly written they are, but we need to know what it does. It needs to actually work. The best submissions will be a single function and a docstring that tells me what it can be called with and what it should be expected to do. Things that can unittest well and don't rely on things from the outside are best.

So, impress me, everyone, with the worst code you've got.

Comments

Popular posts from this blog

CARDIAC: The Cardboard Computer

I am just so excited about this. CARDIAC. The Cardboard Computer. How cool is that? This piece of history is amazing and better than that: it is extremely accessible. This fantastic design was built in 1969 by David Hagelbarger at Bell Labs to explain what computers were to those who would otherwise have no exposure to them. Miraculously, the CARDIAC (CARDboard Interactive Aid to Computation) was able to actually function as a slow and rudimentary computer.  One of the most fascinating aspects of this gem is that at the time of its publication the scope it was able to demonstrate was actually useful in explaining what a computer was. Could you imagine trying to explain computers today with anything close to the CARDIAC? It had 100 memory locations and only ten instructions. The memory held signed 3-digit numbers (-999 through 999) and instructions could be encoded such that the first digit was the instruction and the second two digits were the address of memory to operate on

Statement Functions

At a small suggestion in #python, I wrote up a simple module that allows the use of many python statements in places requiring statements. This post serves as the announcement and documentation. You can find the release here . The pattern is the statement's keyword appended with a single underscore, so the first, of course, is print_. The example writes 'some+text' to an IOString for a URL query string. This mostly follows what it seems the print function will be in py3k. print_("some", "text", outfile=query_iostring, sep="+", end="") An obvious second choice was to wrap if statements. They take a condition value, and expect a truth value or callback an an optional else value or callback. Values and callbacks are named if_true, cb_true, if_false, and cb_false. if_(raw_input("Continue?")=="Y", cb_true=play_game, cb_false=quit) Of course, often your else might be an error case, so raising an exception could be useful

How To Teach Software Development

How To Teach Software Development Introduction Developers Quality Control Motivation Execution Businesses Students Schools Education is broken. Education about software development is even more broken. It is a sad observation of the industry from my eyes. I come to see good developers from what should be great educations as survivors, more than anything. Do they get a headstart from their education or do they overcome it? This is the first part in a series on software education. I want to open a discussion here. Please comment if you have thoughts. Blog about it, yourself. Write about how you disagree with me. Write more if you don't. We have a troubled industry. We care enough to do something about it. We hark on the bad developers the way people used to point at freak shows, but we only hurt ourselves but not improving the situation. We have to deal with their bad code. We are the twenty percent and we can't talk to the eighty percent, by definition, so we need to impro