By Alex Martelli
ISBN-10: 0596001886
ISBN-13: 9780596001889
This ebook bargains Python programmers one position to appear once they needhelp remembering or decoding the syntax of this open resource languageand its many strong yet scantily documented modules. Thiscomprehensive reference consultant makes it effortless to appear up the mostfrequently wanted information--not near to the Python languageitself, but additionally the main often used components of the traditional libraryand an important third-party extensions.
Ask any Python aficionado and you'll pay attention that Python programmers haveit all: a sublime object-oriented language with readable andmaintainable syntax, that permits for simple integration with componentsin C, C++, Java, or C#, and a massive number of precoded standardlibrary and third-party extension modules. furthermore, Python is simple tolearn, but strong sufficient to tackle the main formidable programmingchallenges. yet what Python programmers used to lack is a concise andclear reference source, with definitely the right degree of steering inhow top to exploit Python's nice energy. Python in aNutshell fills this need.
Python in a Nutshell, moment version covers morethan the language itself; it additionally offers with the mostfrequently used elements of the traditional library, and the preferred andimportant 3rd occasion extensions. Revised and extended forPython 2.5, this e-book now includes the gory info of Python's newsubprocess module and breaking information approximately Microsoft's newIronPython undertaking. Our "Nutshell" layout suits Python completely bypresenting the highlights of an important modules and functionsin its typical library, which conceal over ninety% of your practicalprogramming wishes.
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Additional info for Python In A Nutshell
Example text
Com/products/blackadder). com) has two Python IDE products. org) and includes remote debugging capabilities. NET IDE for Python development. 3 Running Python Programs Whatever tools you use to produce your Python application, you can see your application as a set of Python source files. A script is a file that you can run directly. A module is a file that you can import (as covered in Chapter 7) to provide functionality to other files or to interactive sessions. A Python file can be both a module and a script, exposing functionality when imported, but also suitable for being run directly.
A trailing comma is also allowed and innocuous in all such cases, except with string conversion, where it's forbidden. Table 4-2. 5 Numeric Operations Python supplies the usual numeric operations, as you've just seen in Table 4-2. All numbers are immutable objects, so when you perform a numeric operation on a number object, you always produce a new number object. imag. Trying to rebind these attributes on a complex object raises an exception. Note that a number's optional + or - sign, and the + that joins a floating-point literal to an imaginary one to make a complex number, are not part of the literals' syntax.
2). Otherwise, / performs true division, returning a floating-point result (or a complex result, if either operand is a complex number). 2, use the switch -Qnew on the Python command line or begin your source file with the statement: from future import division This ensures that operator / works without truncation on any type of operands. 2 and later) to get truncating division. When you do not want truncation, ensure that at least one operand is not an integer. *a/b to avoid making any assumption on the types of a and b.