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.
