| OverviewIn the tradition of O'Reilly's "In a Nutshell" series,
Python in a Nutshell offers Python
programmers one place to look when they need help
remembering or deciphering the syntax of this open source
language and its many modules. This comprehensive reference
guide makes it easy to look up all the most frequently
needed information--not just about the Python language
itself, but also the most frequently used parts of the
standard library and the most important third-party
extensions. Editorial Reviews| Book Description | Ask any Python aficionado and you'll hear that Python programmers have it all: an elegant language that offers object-oriented programming support, a readable, maintainable syntax, integration with C components, and an enormous collection of precoded standard library and extension modules. Moreover, Python is easy to learn but powerful enough to take on the most ambitious programming challenges. But what Python programmers have lacked is one concise and clear reference resource, with the appropriate measure of guidance in how best to use Python's great power. Now Python in a Nutshell fills this need. In the tradition of O'Reilly's "In a Nutshell" series, this book offers Python programmers one place to look when they need help remembering or deciphering the syntax of this open source language and its many modules. This comprehensive reference guide makes it easy to look up all the most frequently needed information--not just about the Python language itself, but also the most frequently used parts of the standard library and the most important third-party extensions. Python in a Nutshell focuses on Python 2.2 (and all its point releases), currently the most stable and widespread Python release. This book includes: - A fast-paced tutorial on the syntax of the Python language itself
- An explanation of object-oriented programming in Python, covering both the classic and new-style object models
- Coverage of other core topics, including exceptions, modules, strings, and regular expressions
- A quick reference for Python's built-in types and functions, as well as the key modules in the Python standard library, including sys, os, time, thread, math, and socket, among many others
- Reference material on important third-party extensions, such as Numeric and Tkinter
- Information about extending Python and embedding it into other applications
Python in a Nutshell provides a solid, no-nonsense quick reference to information that programmers rely on the most. This latest addition to the best-selling "In a Nutshell" series will immediately earn its place in any Python programmer's library. |
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Reader Reviews From Amazon (Ranked by 'Helpfulness') | Average Customer Rating: |  | based on 29 reviews. |
| Great python reference..., 2007-02-19 | | Reviewer rating: |  |
| Python in a Nutshell is a excellent reference book, all python programmer must have one in the desk.
The online documentation for the python language is good, but some times is difficult to search for a feature of the language, in this book is easy to find anything about python.
This book complements perfectly the official library and language references, and covers almost everything you will ever need.
I Learn python with this book, but i only recommend the book for people with knowledge of other programming language, if you are new in programming and wants to learn python this book is not good for you (try Learning python by David Ascher and Mark Lutz), if you already have programming skills this is the perfect book for learn python.
The author explain the language in a very simple way with good examples, and don't wast time explaining the basics of programming, the book starts with a introduction to the python language, in chapter 2 the author explain the installation of various python interpreters, from chapter 4 to 9 the author explain the core of the python language, in the rest of the book the author cover the python library and extensions modules, network and web programming with python and in the last section the author talk about the various ways of embedding and extending the python language, in my opinion the book is well written and very easy to read.
I highly recommend Python in a Nutshell, for all programmers who wants to start coding in python, and for all python programmers as a language reference.
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| | A fine quick reference which should be on every Python programmer's desk., 2006-11-05 | | Reviewer rating: | |
| | Alex Martelli's PYTHON IN A NUTSHELL: A DESKTOP QUICK REFERENCE offers Python programmers one-stop reference shopping for any quick consultation. Project details blend a quick tutorial on syntax and explanations of Python programming basics with coverage of exceptions, modules, strings and more for all Python's built-ins and key functions. A fine quick reference which should be on every Python programmer's desk. |
| | From zero to Pythonista in less than 700 pages, 2006-10-15 | | Reviewer rating: | |
| | First, one caveat: before reading this book, get a feeling for Python from the official tutorial, and some of the excellent tutorials and book available online (e.g., parts of "Dive into Python"). The greater the experience you have with other languages, the shorter the warm-up period. Then, buy this book. The chapters on the language description and OOP are models of clarity and brevity, in any book/reference and any language. All the other chapters are extremely useful too. This book complements perfectly the official library and language references, and covers almost everything you will ever need. It truly is the ideal reference book, and an incredible value for the money. I just hope that Alex Martelli will keep future editions below 700 pages while adding material on other GUI frameworks and PyPy. |
| | Just what I needed, 2006-08-20 | | Reviewer rating: | |
| | Well organized comprehensive desk reference. Can serve as an introduction to Python for a reader willing to do some heavy lifting. |
| | An excellent reference book for Python , 2006-08-11 | | Reviewer rating: | |
| | Never got the 1st ed. so I got the 2nd ed. as soon as it came out last month (yes, I've been waiting for it :-D). I have to say I am not a Python expert but have been using C and other programming languages for years. I was looking for a book which can help me learn Python and also can be used as a reference. Now I am very happy I found it and it reaches my expectation. It's a solid book with 690+ pages full of everything I need to know about Python. Highly recommended ! |
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