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所在平台: Udemy |
课程主页: https://www.udemy.com/course/learning-path-python-functional-programming-with-python/
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课程名称：学习路径：Python的函数式编程 课程概述：Python虽然不是一种纯粹的函数式编程语言，但它是一种多范式语言，使函数式编程变得简单易行，并能与其他编程风格相互融合。Python作为一种高级语言，广泛用于网络开发、数据分析、桌面用户界面和系统管理等多个领域。函数式编程是一种以短小函数、缺乏语句和对变量的极少依赖为特征的编程风格。在本课程中，您将学习什么是函数式编程，以及如何在Python中应用它。如果您希望利用函数式编程作为强大的工具，通过编写稳健和无错误的代码解决许多现实世界的问题，那么这个学习路径非常适合您。 课程亮点： - 理解常见的函数设计模式，以及它们如何应用于Python - 学习迭代器在函数式编程中的重要作用 在本课程中，您将了解函数式编程及其与其他编程风格（如过程式和面向对象编程）的区别。接下来，您将探索Lambda表达式，这些是短小的一行函数，是Python提供的最纯粹的函数式编程形式。您将学习高阶函数：即接受其他函数作为参数或返回其他函数作为返回值的函数。此外，您还会接触到函数式编程中的重要概念，如单子、柯里化、无状态性、副作用、记忆化和引用透明性；这些概念最初可能对Python程序员而言显得陌生，但您将看到它们如何在Python中得到优雅的支持。 进一步地，您将全面了解Python中的迭代器，以及它们在函数式编程中的重要性，特别是在实现重复逻辑和协程时的应用。您将学习所有标准迭代器和Python提供的迭代器函数，同时还将实现自己的迭代器。函数式编程大量使用迭代器，您将通过一个交互式计算器应用程序学习如何在函数式编程中使用它们。通过这个学习路径的学习，您将对迭代器有深入理解，并能够通过编写稳健、可测和无错误的代码解决许多现实世界的问题。 讲师介绍：本课程结合了多位杰出作者的最佳作品，以确保您的学习旅程顺畅。Sebastiaan Mathôt是荷兰格罗宁根大学的助理教授，同时也是开源Python程序OpenSesame的主要开发者，该程序用于实施心理学和神经科学实验。他还是专注于优雅和可读性的数值计算Python库DataMatrix的设计者。Sebastiaan定期举办关于使用OpenSesame和Python进行科学研究的讲座，并在他的YouTube频道上发布Python教程，因此他在教授Python方面拥有丰富的经验，使高级主题变得易于理解。
Python is not a functional programming language, but it is a multi-paradigm language that makes functional programming easy to perform, and easy to mix with other programming styles. Python is a high level language used in many development areas, like web development, data analysis, desktop UI and system administration. Functional programming is a style of programming that is characterized by short functions, lack of statements, and little reliance on variables. You will learn what functional programming is, and how you can apply functional programming in Python. If you're interested to use Functional Programming as a powerful tool to solve many real-world problems by writing robust and bug-free code, then go for this Learning Path. Packt's Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. The highlights of this Learning Path are: Understand common functional design patterns, and how these apply to Python Learn the important role that iterators play in functional programming In this Learning Path, you'll learn what functional programming is, and how it differs from other programming styles, such as procedural and object-oriented programming. Then you'll go on to explore lambda expressions, which are short one-line functions, and are the purest form of functional programming that Python offers. Next, you'll learn about higher-order functions: functions that accept other functions as an argument, or return other functions as return values. You'll also encounter important concepts from functional programming, such as monads, currying, statelessness, side-effects, memorization, and referential transparency; these concepts may initially seem odd to Python programmers, but you'll see how they are elegantly supported by the language. Further, you'll learn everything there is to know about iterators in Python and how crucial they are in functional programming, where they are used, among other things, to implement repetitive logic and coroutines. You'll learn about all standard iterators and iterator functions that Python offers. You'll also learn to implement your own iterators. Functional programming makes heavy use of iterators, and you'll learn how you can use them in functional programming through an interactive calculator application. By the end of this Learning Path, you will get a thorough understanding of iterators to solve many real-world problems by writing robust, testable, and bug-free code. Meet Your Expert: We have combined the best works of the following esteemed authors to ensure that your learning journey is smooth: SebastiaanMathôt currently works as assistant professor at the University of Groningen in the Netherlands. He is the lead developer at OpenSesame, which is an open-source, Python-based program for implementing psychology and neuroscience experiments. Sebastiaan is also the designer of DataMatrix, a Python library for numeric computing that is focused on elegance and readability. Sebastiaan also gives regular workshops on using OpenSesame and Python for scientific purposes, and regularly publishes Python tutorials on his YouTube channel. As such, he has extensive experience in teaching Python and making advanced topics seem as easy as possible.
