Download PDF by Luciano Ramalho: Fluent Python: Clear, Concise, and Effective Programming

By Luciano Ramalho

ISBN-10: 1491946008

ISBN-13: 9781491946008

Python's simplicity enables you to develop into effective fast, yet this frequently potential you are not utilizing every thing it has to provide. With this hands-on advisor, you are going to the best way to write potent, idiomatic Python code by way of leveraging its most sensible - and probably such a lot missed - gains. writer Luciano Ramalho takes you thru Python's center language beneficial properties and libraries, and exhibits you ways to make your code shorter, speedier, and extra readable whilst. Many skilled programmers attempt to bend Python to slot styles they realized from different languages, and not observe Python gains outdoors in their event. With this e-book, these Python programmers will completely the right way to develop into knowledgeable in Python three.

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So a metaobject protocol is a fancy synonym for object model: an API for core language constructs. A rich metaobject protocol enables extending a language to support new programming paradigms. Gregor Kiczales, the first author of the AMOP book, later became a pioneer in aspect-oriented programming and the initial author of AspectJ, an extension of Java implementing that paradigm. interface, which is briefly discussed in the Further reading section of Chapter 11. info CHAPTER 2 An array of sequences As you may have noticed, several of the operations mentioned work equally for texts, lists and tables.

Unpacking nested tuples to access the longitude. format(name, latitude, longitude)) Each tuple holds a record with four fields, the last of which is a coordinate pair. By assigning the last field to a tuple, we unpack the coordinates. if longitude <= 0: limits the output to metropolitan areas in the Western hemisphere. The output of Example 2-8 is: | Mexico City | New York-Newark | Sao Paulo | lat. 5478 | | | | long. 6358 Before Python 3, it used to be possible to define functions with nested tuples in the formal parameters, eg.

List comprehensions, generator expressions and their siblings set and dict comprehen‐ sions now have their own local scope, like functions. Variables assigned within the ex‐ pression are local, but variables in the surrounding scope can still be referenced. Even better, the local variables do not mask the variables from the surrounding scope. info 'ABC' >>> dummy [65, 66, 67] >>> The value of x is preserved. The list comprehension produces the expected list. List comprehensions build lists from sequences or any other iterable type by filtering and transforming items.

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Fluent Python: Clear, Concise, and Effective Programming by Luciano Ramalho


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