By Mark Pilgrim
Mark Pilgrim's Dive Into Python three is a hands-on consultant to Python three and its alterations from Python 2. As within the unique publication, Dive Into Python, every one bankruptcy starts off with a true, whole code pattern, proceeds to choose it aside and clarify the items, after which places all of it again jointly in a precis on the end.
This booklet includes:
* instance courses thoroughly rewritten to demonstrate strong new thoughts now on hand in Python three: units, iterators, turbines, closures, comprehensions, and lots more and plenty more
* an in depth case examine of porting a massive library from Python 2 to Python 3
* A finished appendix of the entire syntactic and semantic alterations in Python 3
This is definitely the right source for you if you want to port functions to Python three, or should you wish to bounce into languages quick and get going at once.
Read Online or Download Dive Into Python 3 (2nd Edition) PDF
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Extra resources for Dive Into Python 3 (2nd Edition)
Everything in Python is an object, and everything can have attributes and methods. All functions have a built-in attribute, __doc__, which returns the docstring defined in the function’s source code. The sys module is an object that has (among other things) an attribute called path. And so forth. Still, this doesn’t answer the more fundamental question. What is an object, anyway? Different programming languages define object in different ways. In some, it means that all objects must have attributes and methods; in others, it means that all objects are subclassable.
These are function calls that call the approximate_size() function and pass a number of arguments; then take the return value and pass it straight on to the print() function. The print() function is built in; you’ll never see an explicit declaration of it. You can just use it anytime, anywhere. (There are lots of built-in functions and even more functions that are separated into modules. ) So why does running the script on the command line give you the same output every time? You’ll get to that soon.
The interactive help mode will display something akin to a man page: the function name, a brief synopsis, the function’s arguments and their default values, and so on. If the documentation seems opaque to you, don’t panic. You’ll learn more about all these concepts in the next few chapters. 2. Of course, the interactive help mode doesn’t know everything. If you type something that isn’t a Python command, module, function, or other built-in keyword, the interactive help mode will just shrug its virtual shoulders.