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We learned that object creation and initialization are separate operations and that Python allows us to control both, although in almost every case we only need to customize initialization We also learned that although it is always safe to return an object s immutable data attributes, we should normally only ever return copies of an object s mutable data attributes to avoid the object s internal state leaking out and being accidentally invalidated Python provides normal methods, static methods, class methods, and module functions We saw that most methods are normal methods, with class methods being occasionally useful Static methods are rarely used, since class methods or module functions are almost always better alternatives The built-in repr() method calls an object s __repr__() special method Where possible, eval(repr(x)) == x, and we saw how to support this When an eval()-able representation string cannot be produced we use the base class object__repr__() method to produce a non-eval()-able representation in a standard format Type testing using the built-in isinstance() function can provide some ef ciency bene ts, although object-oriented purists would almost certainly avoid its use Accessing base class methods is achieved by calling the built-in super() function, and is essential to avoid in nite recursion when we need to call a base class method inside a subclass s reimplementation of that method Generator functions and methods do lazy evaluation, returning (via the yield expression) each value one at a time on request and raising a StopIteration when (and if) they run out of values Generators can be used wherever an iterator is expected, and for nite generators, all their values can be extracted into a tuple or list by passing the iterator returned by the generator to tuple() or list() The object-oriented approach almost invariably simpli es code compared with a purely procedural approach With custom classes we can guarantee that only valid operations are available (since we implement only appropriate methods), and that no operation can put an object into an invalid state (eg, by using properties to apply validation) Once we start using object orientation our style of programming is likely to change from being about global data structures and the global functions that are applied to the data, to creating classes and implementing the methods that are applicable to them Object orientation makes it possible to package up data and those methods that make sense for the data This helps us avoid mixing up all our data and functions together, and makes it easier to produce maintainable programs since functionality is kept separated out into individual classes.

The Java language uses UCS2 a variant of Unicode that represents each character as two bytes internally for String and character data Transformations between UTF8 and UCS2 are easy By default, the Java class libraries expect data that is typed in at the keyboard or read from a le to be in the local character set (for which the computer is con gured), so they convert the data on the y to UCS2 When string data is written or displayed, it is automatically converted to the local character set rst The standard Java input and output stream reader and writer classes, as well as the String class, have methods that take a character set speci cation as a parameter You can use these methods to convert the streams or strings to or from an arbitrary character set, not just the default local character set For example,

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If one of the case constants is equal to the value of the expression, then we say that the case matches, and all statements after the matching case label in the switch block, if any, are executed in sequence If all these statements complete normally, or if there are no statements after the matching case label, then the entire switch statement completes normally

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public static void main(String[] args) { howMany(3); howMany(2); howMany(1); } }

InputStreamReader reader = new InputStreamReader( is, "UTF8" );

This is a nicer way of testing that a given data item is in range than having to do two separate comparisons joined by logical and, as most other languages require It also has the additional virtue of evaluating the data item only once (since it appears once only in the expression), something that could make a

contains a switch block in which the code for each case falls through into the code for the next case As a result, the program prints:

creates an input stream reader that will convert from UTF8 to UCS2 when reading data A program to read a le in the local character set and output it in UTF8 may be as simple as the following:

difference if computing the data item s value is expensive, or if accessing the data item causes side effects Thanks to the strong aspect of Python s dynamic typing, comparisons that don t make sense will cause an exception to be raised For example:

If code is not to fall through case to case in this manner, then break statements should be used, as in this example:

>>> "three" < 4 Traceback (most recent call last): TypeError: unorderable types: str() < int()

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