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Python supports the creation of anonymous functions (i.e. functions that are not bound to a name) at runtime, using a construct called "lambda". This is not exactly the same as lambda in functional programming languages, but it is a very powerful concept that's well integrated into Python and is often used in conjunction with typical functional concepts like filter() , map() and reduce() . This piece of code shows the difference between a normal function definition ("f") and a lambda function ("g"):
Original version by Andrew Dalke with a major update by Raymond Hettinger
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"decorate-sort-undecorate" is a general and common idiom that allows very flexible and speedy sorting of Python sequences. An auxiliary list is first built (the 'decorate' step) where each item is made up of all sort-keys (in descending order of significance) of the corresponding item of the input sequence (must include all of the information in the whole corresponding item, and/or an index to it so we can fetch it back [or reconstruct it] in the third step). This is then sorted by its builtin sort method without arguments.
Save the script as 'pyline' somewhere on your path, e.g.
Introduction The game you played yesterday uses files to store game saves. The order you placed yesterday was saved in a file.
You can use the list type to implement simple data structures, such as stacks and queues.
Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming.
Here, I am collecting python snippets that I find enlightening and/or just useful. On a subpage , you find a JPype-using hack to access Weka's Java classes from Python.
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I've been using dnspython lately for transferring some DNS zone files from one name server to another. I found the package extremely useful, but poorly documented, so I decided to write this post as a mini-tutorial on using dnspython.
Error reporting and processing through exceptions is one of Python’s key features.