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Appendix Python 3
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coding conventions that are incompatible Needless to say, someone is not going to have a positive learning experience if everything appears to be broken Even the official documentation is not entirely up-to-date with Python 3 coding requirements; while writing this book, the author submitted numerous bug reports concerning documentation errors and omissions Finally, even though Python 30 is described as the latest and greatest, it suffers from numerous performance and behavioral problems For example, the I/O system in the initial release exhibits truly horrific and unacceptable runtime performanceThe separation of bytes and Unicode is also not without problem Even some of the built-in library modules are broken due to changes related to I/O and string handling Obviously these issues will improve with time as more programmers stress-test the release However, in the opinion of this author, Python 30 is really only suitable for experimental use by seasoned Python veterans If you re looking for stability and production quality code, stick with Python 2 until some of the kinks have had time to be worked out of the Python 3 series
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This section outlines some features of Python 3 that are not supported in Python 2
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Source Code Encoding and Identifiers
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Python 3 assumes that source code is encoded as UTF-8 In addition, the rules on what characters are legal in an identifier have been relaxed Specifically, identifiers can contain any valid Unicode character with a code point of U+0080 or greater For example:
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p = 3141592654 r = 40 print(2*p*r)
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Just because you can use such characters in your source code doesn t mean that it s a good idea Not all editors, terminals, or development tools are equally adept at Unicode handling Plus, it is extremely annoying to force programmers to type awkward key sequences for characters not visibly present on a standard keyboard (not to mention the fact that it might make some of the gray-bearded hackers in the office tell everyone another amusing APL story) So, it s probably better to reserve the use of Unicode characters for comments and string literals
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A set of items can now be defined by enclosing a collection of values in braces { items } For example:
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days = { 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun' }
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This syntax is the same as using the set() function:
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The syntax { expr for x in s if conditional} is a set comprehension It applies an operation to all of the elements of a set s and can be used in a similar manner as list comprehensions For example:
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>>> values = { 1, 2, 3, 4 } >>> squares = {x*x for x in values} >>> squares {16, 1, 4, 9} >>>
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The syntax { kexpr:vexpr for k,v in s if condition } is a dictionary comprehension It applies an operation to all of the keys and values in sequence s of (key, value) tuples and returns a dictionaryThe keys of the new dictionary are described by an expression kexpr, and the values are described by the expression vexprThis can be viewed as a more powerful version of the dict() function To illustrate, suppose you had a file of stock prices 'pricesdat' like this:
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GOOG 50971 YHOO 2834 IBM 10611 MSFT 3047 AAPL 12213
Here is a program that reads this file into a dictionary mapping stock names to price using a dictionary comprehension:
fields = (linesplit() for line in open("pricesdat")) prices = {sym:float(val) for sym,val in fields}
Here is an example that converts all of the keys of the prices dictionary to lowercase:
d = {symlower():price for sym,price in pricesitems()}
Here is an example that creates a dictionary of prices for stocks over $10000:
d = {sym:price for sym,price in pricesitems() if price >= 1000}
Extended Iterable Unpacking
In Python 2, items in an iterable can be unpacked into variables using syntax such as the following:
items = [1,2,3,4] a,b,c,d = items # Unpack items into variables
In order for this unpacking to work, the number of variables and items to be unpacked must exactly match In Python 3, you can use a wildcard variable to only unpack some of the items in a sequence, placing any remaining values in a list For example:
a,*rest = items a,*rest,d = items *rest, d = items # a = 1, rest = [2,3,4] # a = 1, rest = [2,3], d = 4 # rest = [1,2,3], d = 4