Hello All,
Do you need to do something very specific in a focused and practical manner, so that you can get the job done on time.
Packt is offering a free eBook version of 'Functional Python Programming' by Steven Lott to create succinct and expressive implementations with functional programming in Python.
You can download the free book - https://www.packtpub.com/packt/offers/free-learning
This practical guide demonstrates the Python implementation of a number of functional programming techniques and design patterns. Starting with a general overview of functional programming concepts, you will explore common functional features such as first-class and higher-order functions, pure functions and more, and how these are accomplished in Python. Additionally, you will cover how common functional optimizations can be handled in Python. You'll also explore data preparation techniques and data exploration in depth. Moving on, you will learn how the Python standard library fits the functional programming model. The book concludes with a look at the PyMonad project and some larger examples.
By the end of this book, you will be able to understand what functional programming is all about, its impact on the programming workflow, why it's important, and how to implement it in Python.
Thanks
Eesha
Do you need to do something very specific in a focused and practical manner, so that you can get the job done on time.
Packt is offering a free eBook version of 'Functional Python Programming' by Steven Lott to create succinct and expressive implementations with functional programming in Python.
You can download the free book - https://www.packtpub.com/packt/offers/free-learning
This practical guide demonstrates the Python implementation of a number of functional programming techniques and design patterns. Starting with a general overview of functional programming concepts, you will explore common functional features such as first-class and higher-order functions, pure functions and more, and how these are accomplished in Python. Additionally, you will cover how common functional optimizations can be handled in Python. You'll also explore data preparation techniques and data exploration in depth. Moving on, you will learn how the Python standard library fits the functional programming model. The book concludes with a look at the PyMonad project and some larger examples.
By the end of this book, you will be able to understand what functional programming is all about, its impact on the programming workflow, why it's important, and how to implement it in Python.
- 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.futures for efficient functional programs
- Use Python strings using object-oriented suffix notation and prefix notation
- Avoid stateful classes with families of tuples
- Design and implement decorators to create composite functions
- Use functions like max(), min(), map(), filter(), and sorted()
- Write higher-order functions
Thanks
Eesha
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