Pro Python (2nd Edition) by Marty Alchin, J. Burton Browning

By Marty Alchin, J. Burton Browning

You’ve realized the fundamentals of Python, yet how do you're taking your talents to the subsequent level? whether you recognize adequate to be efficient, there are many beneficial properties that may take you to the subsequent point in Python. professional Python, moment variation explores thoughts and lines more often than not left to experimentation, permitting you to be much more efficient and creative.

In addition to natural code matters, seasoned Python develops your programming thoughts and methods, in order to help in making you a greater Python programmer. This booklet will enhance not just your code but in addition your realizing and interplay with the numerous tested Python communities.

This publication takes your Python wisdom and coding talents to the subsequent point. It exhibits you ways to put in writing fresh, leading edge code that would be revered through your friends. With this publication, make your code do extra with introspection and meta-programming. And study and later use the nuts and bolts of an program, tier-by-tier as a posh case examine alongside the way.

For additional information, together with a hyperlink to the resource code referenced within the e-book, please stopover at

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Sample text

This step is implicitly performed inside many built-in functions, such as min(). If those functions are able to operate without building a complete list, you can use generators to improve dramatically performance over the use of other options. If they do have to create a new list, you’re not losing anything by delaying until the function really needs to create it. But notice what happens if you iterate over the generator twice. The second time through, you get an error that you tried to pass in an empty sequence.

Because no exceptions are raised, it doesn’t look like anything is actually broken in the code. Instead, it simply looks like the first value in the expression was false, because it’s returning the value that you would expect in that case. This may lead you to try to debug whatever code defines that value, rather than looking at the real problem, which is the value between the two operators. Ultimately, what makes it so hard to pin down is that you have to distrust your own code, removing any assumptions you may have had about how it should work.

Of course, you also won’t have the file available to your code, so it’d be of little use, but there’s nothing in Python that prevents you from doing so. If you include an as clause when using a context manager that doesn’t provide an object, the variable you define will simply be populated with None instead, because all functions return None if no other value is specified. There are several context managers available in Python, some of which will be detailed throughout the rest of this book. In addition, Chapter 5 shows how you can write your own context managers so that you can customize the contextual behavior to match the needs of your own code.

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