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Functional Python Programming, 3rd edition
Functional Python Programming, 3rd edition

Functional Python Programming, 3rd edition: Use a functional approach to write succinct, expressive, and efficient Python code , Third Edition

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Key benefits

  • Learn how, when, and why to adopt functional elements in your projects
  • Explore the Python modules essential to functional programming, like itertools and functools
  • Cover examples relevant to mathematical, statistical, and data analysis domains

Description

Not 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. If you’re a leetcoder preparing for coding interviews, this book is for you. Starting from the fundamentals, this book shows you how to apply functional thinking and techniques in a range of scenarios, with Python 3.10+ examples focused on mathematical and statistical algorithms, 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.

Who is this book for?

The functional paradigm is very useful for programmers working in data science or preparing for technical interviews, 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.

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
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Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 30, 2022
Length: 576 pages
Edition : 3rd
Language : English
ISBN-13 : 9781803232577
Category :
Languages :

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Product feature icon AI Assistant (beta) to help accelerate your learning
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Estimated delivery fee Deliver to India

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Product Details

Publication date : Dec 30, 2022
Length: 576 pages
Edition : 3rd
Language : English
ISBN-13 : 9781803232577
Category :
Languages :

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Frequently bought together


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Advanced Python Programming
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Mastering Python 2E
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Functional Python Programming, 3rd edition
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Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.5
(27 Ratings)
5 star 74.1%
4 star 18.5%
3 star 0%
2 star 0%
1 star 7.4%
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srikar Jan 12, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book explains excellent explanation on functional programming concept. This book is not intended for beginner students. For anyone who wants to read this book must have solid python understanding and working experience.The author covered functional programming with python for almost all the major topics in programming such as multi threading and also other topics such as web services which gives an excellent insight on how to use functional programming with python. The exercises are also good which gives good insight on some of the edge case problems. Overall it's an excellent read for an experienced programmer.
Amazon Verified review Amazon
Andre P. Feb 04, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book provides a smooth introduction to the world of functional programming. It illustrates the core concepts of functional programming (like high-order functions, decorators, generators and iterators) and shows how it’s possible to leverage standard library modules (like IterTools and FuncTools, for instance) to simplify the task of writing functional code. The book has plenty of code samples (which are available on GitHub) that make it really easy to understand and follow the content. I would highly recommend it to anybody looking to familiarize themselves with functional programming.My personal book highlights are:✔️ Higher-Order Functions✔️ Decorator Design Techniques✔️ The Multiprocessing, Threading, and Concurrent.Futures Modules✔️ A Functional Approach to Web Services
Amazon Verified review Amazon
v Jan 06, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This book covers many important topics for functional programming in python from intermediate to advanced levels. Both junior (with some python basis) and senior readers can find useful information from the book. As well, this book also provides good examples for readers.
Amazon Verified review Amazon
Vinod Sangare Feb 27, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Steven starts from the basic, and then demonstrates you how to apply functional thinking and techniques in different scenarios, by giving examples centered around data cleaning and exploratory data analysis.He further teaches how to use generator expressions, list comprehensions, and decorators to your advantage. You will see how Python’s native object-orientation is used in conjunction with functional programming techniques.After completing this book, you’ll be very well familiar in the essential functional programming features of Python, and understand why and when functional thinking helps.Steven also demystifies the approach, teaching you how to improve the way you code in Python and make gains in memory use and performance..
Amazon Verified review Amazon
Om S Feb 23, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
"Functional Python Programming" is an excellent guide for Python developers looking to improve their coding skills by incorporating functional programming techniques into their work. The author, Steven Lott, does an exceptional job of breaking down complex concepts into manageable pieces and providing practical examples that make it easy for readers to apply what they've learned.The book starts with a clear introduction to the fundamentals of functional programming and then guides the reader through the use of various techniques, including generator expressions, list comprehensions, and decorators, to write more efficient and expressive code. Throughout the book, Lott demonstrates how to apply these concepts to data cleaning and exploratory data analysis, as well as how to use Python's native object-orientation in conjunction with functional programming techniques.The book also covers more advanced topics, such as concurrency and web services, and provides a thorough exploration of the PyMonad library for stateful simulations. Additionally, Lott introduces readers to the itertools and functools modules, as well as the Toolz package, which are invaluable tools for anyone working with collections and combinatorics.One of the strengths of this book is that it assumes no prior knowledge of functional programming, making it accessible to anyone with Python programming knowledge. The writing is clear and concise, and the examples are easy to follow, even for readers who are new to the topic.Overall, "Functional Python Programming" is an excellent resource for any Python developer looking to improve their coding skills by incorporating functional programming techniques into their work. The book is well-organized, thorough, and provides practical examples that will help readers apply what they've learned. If you're looking to take your Python coding skills to the next level, this book is definitely worth your time.
Amazon Verified review Amazon
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Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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