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Although users usually think of Python as a procedural and object-oriented language, it actually contains everything you need for a completely functional approach to programming. This article discusses general concepts of functional programming, and illustrates ways of implementing functional techniques in Python. View more content in this series
Aug 13, 2015 · Mertz describes ways to avoid Python’s imperative-style flow control, the nuances of callable functions, how to work lazily with iterators, and the use of higher-order functions. He also lists several third-party Python libraries useful for functional programming.
procedural way, using object-oriented programming or applying a functional approach. In this chapter, we explain the core concepts of functional programming in Python and how we develop our applications using this technique.
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
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.
We’ll pick and choose the aspects of functional programming that fit well with Python and leverage just those that seem useful. Some of the examples use exploratory data analysis (EDA) as a problem domain to show the value of functional programming.
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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.