Functional Python Programming
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Functional Python Programming
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Author : Steven F. Lott
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-04-13
Functional Python Programming written by Steven F. Lott and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-13 with Computers categories.
Create succinct and expressive implementations with functional programming in Python Key Features Learn how to choose between imperative and functional approaches based on expressiveness, clarity, and performance Get familiar with complex concepts such as monads, concurrency, and immutability Apply functional Python to common Exploratory Data Analysis (EDA) programming problems Book Description If you’re a Python developer who wants to discover how to take the power of functional programming (FP) and bring it into your own programs, then this book is essential for you, even if you know next to nothing about the paradigm. Starting with a general overview of functional concepts, you’ll explore common functional features such as first-class and higher-order functions, pure functions, and more. You’ll see how these are accomplished in Python 3.6 to give you the core foundations you’ll build upon. After that, you’ll discover common functional optimizations for Python to help your apps reach even higher speeds. You’ll learn FP concepts such as lazy evaluation using Python’s generator functions and expressions. Moving forward, you’ll learn to design and implement decorators to create composite functions. You'll also explore data preparation techniques and data exploration in depth, and see how the Python standard library fits the functional programming model. Finally, to top off your journey into the world of functional Python, you’ll at look at the PyMonad project and some larger examples to put everything into perspective. What you will learn Use Python's generator functions and generator expressions to work with collections in a non-strict (or lazy) manner Utilize Python library modules including itertools, functools, multiprocessing, and concurrent features to ensure efficient functional programs Use Python strings with object-oriented suffix notation and prefix notation Avoid stateful classes with families of tuples Design and implement decorators to create composite functions Use functions such as max(), min(), map(), filter(), and sorted() Write higher-order functions Who this book is for This book is for Python developers who would like to perform Functional programming with Python. Python Programming knowledge is assumed.
Functional Programming In Python
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Author : David Mertz
language : en
Publisher:
Release Date : 2018-02-23
Functional Programming In Python written by David Mertz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-02-23 with categories.
In this document, we'll take a tour of Python's features suitable for implementing programs in a functional style. After an introduction to the concepts of functional programming, we'll look at language features such as iterators and generators and relevant library modules such as itertools and functools.
Functional Python Programming
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Author : Steven F. Lott
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-12-30
Functional Python Programming written by Steven F. Lott and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-30 with Computers categories.
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 FeaturesLearn how, when, and why to adopt functional elements in your projectsExplore the Python modules essential to functional programming, like itertools and functoolsRevised to cover new features of Python 3.10, exercises at the end of every chapter, and moreBook 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 learnUse Python's libraries to avoid the complexities of state-changing classesLeverage built-in higher-order functions to avoid rewriting common algorithmsWrite generator functions to create lazy processingDesign and implement decorators for functional compositionMake use of Python type annotations to describe parameters and results of functionsApply functional programming to concurrency and web servicesExplore the PyMonad library for stateful simulationsWho 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.
Treading On Python Volume 2
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Author : Matt Harrison
language : en
Publisher: Matt Harrison
Release Date : 2013-06-23
Treading On Python Volume 2 written by Matt Harrison and has been published by Matt Harrison this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-23 with Computers categories.
Do you want to take your Python to the next level? Python is easy to learn. You can learn the basics in a day and be productive with it. But there are more advanced constructs that you will eventually run across if you spend enough time with it. Don't be confused by these. Learn them, embrace them, and improve your code and others.
Python In Depth
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Author : Ahidjo Ayeva
language : en
Publisher: BPB Publications
Release Date : 2020-10-06
Python In Depth written by Ahidjo Ayeva and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-06 with Computers categories.
Build it with Python, the popular and batteries-included programming tool Key Features _ Get familiar with the fundamentals of Python. _ Understand the OOP paradigm and learn to write your custom object classes. _ Explore tools and techniques to measure code execution for Performance Optimization. _ Understand how Python is used in the main Cryptographic mechanisms. Description ÒPython In-DepthÓ gives you a detailed presentation of the possibilities for solving everyday problems, even complex ones using Python. You will begin by setting up Python in your system and then learn about the fundamentals of Python so that you have a rock-solid foundation to build upon. You will explore the foundations of Python programming, such as the built-in data types, functions, objects and classes, files, etc. You will then explore the different programming paradigms such as OOP, Functional, and Concurrent, and find the best approach given a situation. You will also learn how to utilize an interchange format to exchange data and understand how to carry out performance optimization, effective debugging, and security, among other techniques. Towards the end, you will enjoy two chapters dedicated to two domains where Python usage is currently very strong: Data Science and Web Development. What will you learn _ Learn how to improve your Python Code Quality. _ Explore the techniques and frameworks for Python GUI Programming. _ Solve Data Science and Machine Learning problems using Python. _ Get familiar with Python web frameworks; Django and Flask. Who this book is for This book is for anyone who is new to Software Development and wants to learn Python. Existing Python users can also use this book for a quick reference for the fundamentals and the features introduced in Python 3.7. Table of Contents 1. Getting Started with Python 2. Program Flow and Error Handling 3. Functions, Modules, and Functional Programming 4. Useful Modules and Libraries 5. Object Orientation 6. Decorators and Iterators 7. Files and Data Persistence 8. Context Managers 9. Performance Optimization 10. Cryptography 11. Concurrent Execution 12. Logging and Debugging 13. Code Style and Quality Assurance 14. Code Packaging and Dependencies 15. GUI Programming 16. Web Development 17. Data Science
A Functional Start To Computing With Python
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Author : Ted Herman
language : en
Publisher: CRC Press
Release Date : 2013-07-26
A Functional Start To Computing With Python written by Ted Herman and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07-26 with Computers categories.
A Functional Start to Computing with Python enables students to quickly learn computing without having to use loops, variables, and object abstractions at the start. Requiring no prior programming experience, the book draws on Python's flexible data types and operations as well as its capacity for defining new functions. Along with the specifics of
A Concise Introduction To Programming In Python
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Author : Mark J. Johnson
language : en
Publisher: CRC Press
Release Date : 2011-12-21
A Concise Introduction To Programming In Python written by Mark J. Johnson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-21 with Computers categories.
Suitable for newcomers to computer science, A Concise Introduction to Programming in Python provides a succinct, yet complete, first course in computer science using the Python programming language. The book features:Short, modular chapters with brief and precise explanations, intended for one class periodEarly introduction of basic procedural cons
Functional Programming In Python
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Author : Martin McBride
language : en
Publisher:
Release Date : 2019-11-28
Functional Programming In Python written by Martin McBride and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-28 with categories.
Learn functional programming concepts and techniques to build Python applicationsKey Features* Study in detail all aspects of functional programming, including immutability, generators, and more* Reinforce your learning through elaborate examples* Learn how to implement advanced topics like closures, memoization, and monads in your applicationsBook DescriptionPython supports four programming paradigms - imperative, procedural, object-oriented, and functional. Of these, functional programming is probably the least understood and the least used. This book covers several topics that are directly and indirectly related to functional programming.After a quick overview of functional programming and its characteristics, Functional Programming in Python explains the various concepts of Python, starting with functions. You'll learn how to change the value of an object by using mutability. You'll then look at recursion as a more functional alternative to looping for certain algorithms, and learn how memoization alleviates the limitations of recursion in certain situations. The book further explains how to use closures as function factories and how to handle errors and exceptions with functors and monads.By the end of this book, you'll have all the knowledge you need for developing your applications with functional programming in Python.What you will learn* Understand the advantages and disadvantages of functional programming* Use closures in your code to dynamically create functions* Create your own iterators* Use the general-purpose functools to create your own specialized reducing functions* Study and implement list and generator comprehensions to create lists* Create customized iterators with generatorsWho this book is forIf you are a developer looking to create applications in Python using functional programming, this book is ideal for you. You will only need a basic knowledge of Python. Prior knowledge or experience of functional programming is not required.
Mastering Functional Programming
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Author : Anatolii Kmetiuk
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-08-31
Mastering Functional Programming written by Anatolii Kmetiuk and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-31 with Computers categories.
Learn how functional programming can help you in deploying web servers and working with databases in a declarative and pure way Key Features Learn functional programming from scratch Program applications with side effects in a pure way Gain expertise in working with array tools for functional programming Book Description In large projects, it can get difficult keeping track of all the interdependencies of the code base and how its state changes at runtime. Functional Programming helps us solve these problems. It is a paradigm specifically designed to deal with the complexity of software development. This book will show you how the right abstractions can reduce complexity and make your code easy to read and understand. Mastering Functional Programming begins by touching upon the basics such as what lambdas are and how to write declarative code with the help of functions. It then moves on to more advanced concepts such as pure functions and type classes, the problems they aim to solve, and how to use them in real-world scenarios. You will also explore some of the more advanced patterns in the world of functional programming, such as monad transformers and Tagless Final. In the concluding chapters, you will be introduced to the actor model, implement it in modern functional languages, and explore the subject of parallel programming. By the end of the book, you will have mastered the concepts entailing functional programming along with object-oriented programming (OOP) to build robust applications. What you will learn Write reliable and scalable software based on solid foundations Explore the cutting edge of computer science research Effectively solve complex architectural problems in a robust way Avoid unwanted outcomes such as errors or delays and focus on business logic Write parallel programs in a functional style using the actor model Use functional data structures and collections in your day-to-day work Who this book is for If you are from an imperative and OOP background, this book will guide you through the world of functional programming, irrespective of which programming language you use.
Python Progr Mming
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Author : Jack Brown
language : en
Publisher:
Release Date : 2021-06-17
Python Progr Mming written by Jack Brown and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-17 with categories.
⭐⭐⭐⭐⭐50% DISCOUNT FOR BOOKSTORES⭐⭐⭐⭐⭐ Create succinct and expressive implementations with functional programming in Python Key Features Learn how to choose between imperative and functional approaches based on expressiveness, clarity, and performance Get familiar with complex concepts such as monads, concurrency, and immutability. Apply functional Python to common Exploratory Data Analysis (EDA) programming problems Book Description If you're a Python developer who wants to discover how to take the power of functional programming (FP) and bring it into your own programs, then this book is essential for you, even if you know next to nothing about the paradigm. Starting with a general overview of functional concepts, you'll explore common functional features such as first-class and higher-order functions, pure functions, and more. You'll see how these are accomplished in Python 3.6 to give you the core foundations you'll build upon. After that, you'll discover common functional optimizations for Python to help your apps reach even higher speeds. You'll learn FP concepts such as lazy evaluation using Python's generator functions and expressions. Moving forward, you'll learn to design and implement decorators to create composite functions. You'll also explore data preparation techniques and data exploration in-depth and see how the Python standard library fits the functional programming model. Finally, to top off your journey into the world of functional Python, you'll look at the PyMonad project and some larger examples to put everything into perspective. What you will learn Use Python's generator functions and generator expressions to work with collections in a non-strict (or lazy) manner. Utilize Python library modules including itertools, functools, multiprocessing, and concurrent features to ensure efficient functional programs Use Python strings with object-oriented suffix notation and prefix notation Avoid stateful classes with families of tuples Design and implement decorators to create composite functions Use functions such as max(), min(), map(), filter(), and sorted() Write higher-order functions Who This Book Is For This book is for Python developers who would like to perform Functional programming with Python. Python Programming knowledge is assumed. Table of Contents Understanding Functional Programming Introducing essential functional concepts Functions, Iterators, and Generators Working with Collections Higher-Order Functions Recursions and Reductions Additional tuple techiques The itertools Module More Itertools Techniques The Functools Module Decorator Design Techniques The Multiprocessing and Threading Modules The Operator Module The PyMonad Library A Functional Approach to Web Services Optimizations and Improvements