Functional Python Programming:
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham, UK
Packt Publishing
2015
|
| Series: | Community experience distilled
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| Subjects: | |
| Item Description: | Print version record. - Includes index |
| Physical Description: | 1 online resource |
| ISBN: | 1322875324 9781322875323 9781784397616 178439761X 9781784396992 1784396990 |
Staff View
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| 505 | 8 | |a Python is an easy-to-learn and extensible programming language that offers a number of functional programming features. It's ideally suited to a number of applications in the broad space of data science. 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 | |
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| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Lott, Steven |t Functional Python programming : create succinct and expressive implementations with functional programming in Python |d Birmingham, England : Packt Publishing, 2015 |h vii, 339 pages |k Community experience distilled |z 9781784396992 |
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| any_adam_object | |
| author | Lott, Steven |
| author_facet | Lott, Steven |
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| building | Verbundindex |
| bvnumber | BV045351060 |
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| contents | Python is an easy-to-learn and extensible programming language that offers a number of functional programming features. It's ideally suited to a number of applications in the broad space of data science. 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 |
| ctrlnum | (ZDB-4-ITC)ocn903320563 (OCoLC)903320563 (DE-599)BVBBV045351060 |
| dewey-full | 005.13/3 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 005 - Computer programming, programs, data, security |
| dewey-raw | 005.13/3 |
| dewey-search | 005.13/3 |
| dewey-sort | 15.13 13 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| spelling | Lott, Steven Verfasser aut Functional Python Programming Birmingham, UK Packt Publishing 2015 1 online resource txt rdacontent c rdamedia cr rdacarrier Community experience distilled Print version record. - Includes index Python is an easy-to-learn and extensible programming language that offers a number of functional programming features. It's ideally suited to a number of applications in the broad space of data science. 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 COMPUTERS / Programming Languages / Python bisacsh Python (Computer program language) fast Python (Computer program language) Python Programmiersprache (DE-588)4434275-5 gnd rswk-swf Python Programmiersprache (DE-588)4434275-5 s 1\p DE-604 Erscheint auch als Druck-Ausgabe Lott, Steven Functional Python programming : create succinct and expressive implementations with functional programming in Python Birmingham, England : Packt Publishing, 2015 vii, 339 pages Community experience distilled 9781784396992 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Lott, Steven Functional Python Programming Python is an easy-to-learn and extensible programming language that offers a number of functional programming features. It's ideally suited to a number of applications in the broad space of data science. 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 COMPUTERS / Programming Languages / Python bisacsh Python (Computer program language) fast Python (Computer program language) Python Programmiersprache (DE-588)4434275-5 gnd |
| subject_GND | (DE-588)4434275-5 |
| title | Functional Python Programming |
| title_auth | Functional Python Programming |
| title_exact_search | Functional Python Programming |
| title_full | Functional Python Programming |
| title_fullStr | Functional Python Programming |
| title_full_unstemmed | Functional Python Programming |
| title_short | Functional Python Programming |
| title_sort | functional python programming |
| topic | COMPUTERS / Programming Languages / Python bisacsh Python (Computer program language) fast Python (Computer program language) Python Programmiersprache (DE-588)4434275-5 gnd |
| topic_facet | COMPUTERS / Programming Languages / Python Python (Computer program language) Python Programmiersprache |
| work_keys_str_mv | AT lottsteven functionalpythonprogramming |