Exercises, examples and other material relating to training module Y305. This module is presented on
Private Courses and
Specially Run Courses only
Background
For those Python programs where you're compute bound or handling very
large data flows, you may want to consider and learn some of the techiques
covered in this module.
| Articles and tips on this subject | updated |
| 2462 | Python - how it saves on compile time Python is interpreted every time you run the code ... or that's the simple first story you're told. But really it's not that simple ... and not that inefficient.
When you run a Python program, it is not interpreted line by line as you run it - it is interpreted all at once before it's run at all, ... | 2009-10-20 |
| 2369 | Using a cache for efficiency. Python and PHP examples Ask yourself "how long is it (in seconds) from 5.36 a.m. and 20 seconds to 6.04 a.m. and 39 seconds".
Have you worked that out?
Now - how long is it (in seconds) from 5.36 a.m. and 20 seconds to 6.04 a.m. and 39 seconds.
Got that? And how long is it (in seconds) from 5.36 a.m. and 20 seconds to 6.04 ... | 2009-08-23 (longer) |
| 2277 | Python classes / courses - what version do we train on? Usually, the release number of a programming language that's used on a 'first level' course doesn't make a big difference as the changes tend to be quite minor - after all, languages cannot change much for who would develop e piece of code using a syntax that was likely to go out of date? But that's ... | 2009-07-11 |
Examples from our training material
| slowcoach | Analysing visit lengths to web site - no cache |
| visitors | Analysing visit lengths to web site - using cache |
Background information
Some modules are
available for download as a sample of our material or under an
Open Training Notes License for free download from
http://www.training-notes.co.uk.
Topics covered in this module
The timeit Module.
Optimizing Regular Expressions and Strings.
Optimizing Dictionary Lookups and List Operations.
Caching and saving recalculations within Python classes.
Building Tuned Pythons
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