By Mark Pilgrim
Mark Pilgrim's Dive Into Python three is a hands-on advisor to Python three and its ameliorations from Python 2. As within the unique ebook, Dive Into Python, every one bankruptcy begins with a true, entire code pattern, proceeds to select it aside and clarify the items, after which places all of it again jointly in a precis on the end.
This ebook includes:
* instance courses thoroughly rewritten to demonstrate strong new innovations now to be had in Python three: units, iterators, turbines, closures, comprehensions, and masses more
* a close case examine of porting a tremendous library from Python 2 to Python 3
* A complete appendix of the entire syntactic and semantic adjustments in Python 3
This is the appropriate source for you if you want to port purposes to Python three, or if you happen to wish to bounce into languages speedy and get going at once.
Read or Download Dive Into Python 3 (2nd Edition) PDF
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Additional info for Dive Into Python 3 (2nd Edition)
Modules can do this to access functionality in other modules, and you can do it in the Python interactive shell, too. This is an important concept, and you’ll see a lot more of it throughout this book. 2. When you want to use functions defined in imported modules, you need to include the module name. approximate_size. If you’ve used classes in Java, this should feel vaguely familiar. 7 CHAPTER 1 ■ YOUR FIRST PYTHON PROGRAM 3. Instead of calling the function as you would expect to, you asked for one of the function’s attributes: __doc__.
Everything is a function, all functions return a value (even if it’s None), and all functions start with def. The approximate_size() function takes the two arguments size and a_kilobyte_is_1024_bytes, but neither argument specifies a datatype. In Python, variables are never explicitly typed. Python figures out what type a variable is and keeps track of it internally. ■ In Java and other statically typed languages, you must specify the datatype of the function return value and each function argument.
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. In Python, the definition is looser. Some objects have neither attributes nor methods, but they could. Not all objects are subclassable. But everything is an object in the sense that it can be assigned to a variable or passed as an argument to a function. You may have heard the term first-class object in other programming contexts.