The Open Source Zone

I love the book. Use it with Python in a Nutshell. Use the Nutshell as a more comprehensive reference and this book to get exactly what I need when I have a general idea of what is needed. I see Python Essentials as more of a 'nutshell book' than the actual nutshell book. It is clear and concise and I find the print size to be very acceptable. The book is a maverick when it comes to being able to compare different approaches/elements. It will not do it for you, but since it is so precisely laid out, it is easy to think in terms of: "If I used this then I could do this; If I used that then I could do that, but not this, etc." If you have a basic background in python or other language, you will likely be able to frame up your ideas/knowledge into specifics and start coding to learn more or if you are already an accomplished programmer you can check and refine code in progress or established code projects.

I say Outstanding Reference, because that's what this book is. While there are examples, they are short and concise - this is not a "how to" book (though the introduction provides an excellent overview). Rather, this is a text to keep alongside a book like Learning Python. It's dimensions are smaller than your typical computer book, so it fits nicely on my desk. Also, the index is the best you'll find (Dave actually generated it from a Python script). It's faster than looking stuff up online.

This little book isn't missing a thing! It's extremely well organized; I find it faster to get answers from this book than from the Internet. Can't say that too often!

Very concise and precise information. I would recommend for anyone who wants advance book on python for reference and learning.

This book is a highly detailed reference to the Python language. The introductory chapters build on one another and give the reader a decent introduction to the language. The later chapters need not be read sequentially as they are a reference on more advanced features.

The book has superb coverage of distutils, C extensions, network I/O, and introspection. The index is well organized so you can find text on obscure, subtle concepts easily. Need to know how to raise an IOError in C? Not a problem, it's in there. Need to know how to quickly generate a tuple from C? Not a problem, it's in there. Need to know how to split apart or join paths and filenames in a platform-independent way? It's in there too. How about creating a memory mapped file? Or parsing a date? Or resolving the IP address of a hostname? Parsing a python string? Running a python expression as a string? Grabbing the caller's call stack? All of these nifty and possibly dangerous features are all covered in this wonderful book.

Normally, I'm a fan of O'Reilly books but O'Reilly's Programming Python (OPP) is disappointingly basic, and you'll quickly outgrow it. I found OPP very unhelpful as a reference for writing large, scientific simulations in Python. In such situations, the data sets are often large, and thus, one must be careful not to gratuitously waste memory with range() when looping over several arrays in the same loop. For example, there is no mention of the xrange construct, which creates a generator object used for incrementally generating numbers over a range. However, it is extremely rare I find an omission in Beazley's Python, and the omission always involves an extremely obscure and uncommon feature.