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Functional Python Programming - Use a functional approach to write succinct, expressive, and efficient Python code (Paperback, 3rd Revised edition)
Loot Price: R1,062
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Functional Python Programming - Use a functional approach to write succinct, expressive, and efficient Python code (Paperback, 3rd Revised edition)
Expected to ship within 18 - 22 working days
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Python isn't all about object-oriented programming. Discover a
valuable way of thinking about code design through a function-first
approach - and learn when you need to use it. Now with detailed
exercises at the end of every chapter! Purchase of the print or
Kindle book includes a free eBook in PDF format. Key Features Learn
how, when, and why to adopt functional elements in your projects
Explore the Python modules essential to functional programming,
like itertools and functools Revised to cover new features of
Python 3.10, exercises at the end of every chapter, and more Book
DescriptionNot enough developers understand the benefits of
functional programming, or even what it is. Author Steven Lott
demystifies the approach, teaching you how to improve the way you
code in Python and make gains in memory use and performance.
Starting from the fundamentals, this book shows you how to apply
functional thinking and techniques in a range of scenarios, with
examples centered around data cleaning and exploratory data
analysis. You'll learn how to use generator expressions, list
comprehensions, and decorators to your advantage. You don't have to
abandon object-oriented design completely, though - you'll also see
how Python's native object-orientation is used in conjunction with
functional programming techniques. By the end of this book, you'll
be well versed in the essential functional programming features of
Python, and understand why and when functional thinking helps.
You'll also have all the tools you need to pursue any additional
functional topics that are not part of the Python language. What
you will learn Use Python's libraries to avoid the complexities of
state-changing classes Leverage built-in higher-order functions to
avoid rewriting common algorithms Write generator functions to
create lazy processing Design and implement decorators for
functional composition Make use of Python type annotations to
describe parameters and results of functions Apply functional
programming to concurrency and web services Explore the PyMonad
library for stateful simulations Who this book is forThe functional
paradigm is very useful for programmers working in data science,
but any Python developer who wants to create more reliable,
succinct, and expressive code will have much to learn from this
book. No prior knowledge of functional programming is required to
get started, though Python programming knowledge is assumed. A
running Python environment is essential.
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