By Alex Martelli
This e-book bargains Python programmers one position to seem after they need assistance remembering or decoding the syntax of this open resource language and its many strong yet scantily documented modules. This accomplished reference advisor makes it effortless to seem up the main usually wanted information--not as regards to the Python language itself, but additionally the main often used components of the traditional library and crucial third-party extensions. Ask any Python aficionado and you may pay attention that Python programmers have all of it: a chic object-oriented language with readable and maintainable syntax, that permits for simple integration with parts in C, C++, Java, or C#, and a huge number of precoded normal library and third-party extension modules. additionally, Python is straightforward to profit, but robust sufficient to tackle the main bold programming demanding situations. yet what Python programmers used to lack is a concise and transparent reference source, with the right degree of steering in how most sensible to exploit Python's nice strength. Python in a Nutshell fills this want. Python in a Nutshell, moment version covers greater than the language itself; it additionally bargains with the main often used components of the normal library, and the preferred and significant 3rd get together extensions. Revised and elevated for Python 2.5, this publication now includes the gory information of Python's new subprocess module and breaking information approximately Microsoft's new IronPython undertaking. Our "Nutshell" structure matches Python completely by way of proposing the highlights of an important modules and features in its general library, which hide over ninety% of your sensible programming wishes. This ebook comprises: A fast moving instructional at the syntax of the Python language an evidence of object-oriented programming in Python assurance of iterators, turbines, exceptions, modules, applications, strings, and usual expressions a brief reference for Python's integrated varieties and capabilities and key modules Reference fabric on very important third-party extensions, reminiscent of Numeric and Tkinter information regarding extending and embedding Python Python in a Nutshell offers a pretty good, no-nonsense fast connection with info that programmers depend on the main. This ebook will instantly earn its position in any Python programmer's library. compliment for the 1st variation: "In a nutshell, Python in a Nutshell serves one fundamental aim: to behave as an instantly obtainable target for the Python language. real, you will get many of the similar middle details that's provided in the covers of this quantity on-line, yet this may constantly be damaged into a number of documents, and probably missing the examples or the precise syntax description essential to actually comprehend a command." --Richard Cobbett, Linux layout "O'Reilly has a number of strong books, of which Python in a Nutshell by means of Alex Martelli is without doubt one of the most sensible for providing you with a few thought of what Python is set and the way to do invaluable issues with it." --Jerry Pournelle, Byte journal
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Building Python from source code on Cygwin is therefore similar to building from source code on Unix-like environments, even though Cygwin runs on Windows. 2. Unix-Like Platforms On Unix-like platforms, installing Python from source code is generally simple. tgz there. Of course, you can choose to name and place the directory as it best suits you. 1. tgz file with programs tar and gunzip. 3, the root of a tree that contains the entire standard Python distribution in source form. 2. 3/README under the heading "Build instructions," and I strongly suggest reading those notes.
An identifier starts with a letter (A to Z or a to z) or an underscore (_) followed by zero or more letters, underscores, and digits (0 to 9). Case is significant in Python: lowercase and uppercase letters are distinct. Python does not allow punctuation characters such as @, $, and % within identifiers. Normal Python style is to start class names with an uppercase letter and all other identifiers with a lowercase letter. Starting an identifier with a single leading underscore indicates by convention that the identifier is meant to be private.
4 Python (command line). [*] This may involve using quotes if the pathname contains spacesagain, this depends on your operating system. 1. Environment Variables Besides PATH, other environment variables affect the python program. Some environment variables have the same effects as options passed to python on the command line, as documented in the next section. A few environment variables provide settings not available via command-line options: PYTHONHOME The Python installation directory. A lib subdirectory, containing the standard Python library modules, should exist under this directory.