Functional Python programming: use a functional approach to write succinct, expressive, and efficient Python code
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...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham ; Mumbai
Packt Publishing Limited
[2022]
|
| Ausgabe: | Third edition |
| Schlagworte: | |
| Online-Zugang: | FHA01 FLA01 UBY01 |
| Zusammenfassung: | 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 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. 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 for The 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. |
| Beschreibung: | Expert insight - Cover |
| Beschreibung: | 1 Online-Ressource (576 Seiten) |
| ISBN: | 9781803236568 1803236566 |
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| 520 | 3 | |a 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 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. | |
| 520 | 3 | |a 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. | |
| 520 | 3 | |a 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 for The 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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Datensatz im Suchindex
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| author | Lott, Steven |
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| discipline | Informatik |
| discipline_str_mv | Informatik |
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| illustrated | Not Illustrated |
| index_date | 2024-07-03T21:51:58Z |
| indexdate | 2024-07-10T09:49:25Z |
| institution | BVB |
| isbn | 9781803236568 1803236566 |
| language | English |
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| publisher | Packt Publishing Limited |
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| spelling | Lott, Steven (DE-588)1078302723 aut Functional Python programming use a functional approach to write succinct, expressive, and efficient Python code Steven F. Lott ; [foreword by Ricardo Bánffy] Third edition Birmingham ; Mumbai Packt Publishing Limited [2022] 1 Online-Ressource (576 Seiten) txt rdacontent c rdamedia cr rdacarrier Expert insight - Cover 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 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. 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 for The 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. Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Python (Computer program language) Functional programming (Computer science) Computers / Languages / Python Computers / Programming / Object Oriented Python Programmiersprache (DE-588)4434275-5 s DE-604 Bánffy, Ricardo wpr Erscheint auch als Druck-Ausgabe 978-1-80323-257-7 |
| spellingShingle | Lott, Steven Functional Python programming use a functional approach to write succinct, expressive, and efficient Python code Python Programmiersprache (DE-588)4434275-5 gnd |
| subject_GND | (DE-588)4434275-5 |
| title | Functional Python programming use a functional approach to write succinct, expressive, and efficient Python code |
| title_auth | Functional Python programming use a functional approach to write succinct, expressive, and efficient Python code |
| title_exact_search | Functional Python programming use a functional approach to write succinct, expressive, and efficient Python code |
| title_exact_search_txtP | Functional Python programming use a functional approach to write succinct, expressive, and efficient Python code |
| title_full | Functional Python programming use a functional approach to write succinct, expressive, and efficient Python code Steven F. Lott ; [foreword by Ricardo Bánffy] |
| title_fullStr | Functional Python programming use a functional approach to write succinct, expressive, and efficient Python code Steven F. Lott ; [foreword by Ricardo Bánffy] |
| title_full_unstemmed | Functional Python programming use a functional approach to write succinct, expressive, and efficient Python code Steven F. Lott ; [foreword by Ricardo Bánffy] |
| title_short | Functional Python programming |
| title_sort | functional python programming use a functional approach to write succinct expressive and efficient python code |
| title_sub | use a functional approach to write succinct, expressive, and efficient Python code |
| topic | Python Programmiersprache (DE-588)4434275-5 gnd |
| topic_facet | Python Programmiersprache |
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