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Python for Linguists /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Python for Linguists // Michael Hammond.
Author:
Hammond, Michael,
Description:
1 online resource (xii, 300 pages) :digital, PDF file(s). :
Notes:
Title from publisher's bibliographic system (viewed on 22 Apr 2020).
Subject:
Computational linguistics. -
Online resource:
https://doi.org/10.1017/9781108642408
ISBN:
9781108642408 (ebook)
Python for Linguists /
Hammond, Michael,1957-
Python for Linguists /
Michael Hammond. - 1 online resource (xii, 300 pages) :digital, PDF file(s).
Title from publisher's bibliographic system (viewed on 22 Apr 2020).
Specifically designed for linguists, this book provides an introduction to programming using Python for those with little to no experience of coding. Python is one of the most popular and widely-used programming languages as it's also available for free and runs on any operating system. All examples in the text involve language data and can be adapted or used directly for language research. The text focuses on key language-related issues: searching, text manipulation, text encoding and internet data, providing an excellent resource for language research. More experienced users of Python will also benefit from the advanced chapters on graphical user interfaces and functional programming.
ISBN: 9781108642408 (ebook)Subjects--Topical Terms:
555811
Computational linguistics.
LC Class. No.: QA76.73.P98 / H3625 2020
Dewey Class. No.: 005.13/3
Python for Linguists /
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Python for Linguists /
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Michael Hammond.
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Specifically designed for linguists, this book provides an introduction to programming using Python for those with little to no experience of coding. Python is one of the most popular and widely-used programming languages as it's also available for free and runs on any operating system. All examples in the text involve language data and can be adapted or used directly for language research. The text focuses on key language-related issues: searching, text manipulation, text encoding and internet data, providing an excellent resource for language research. More experienced users of Python will also benefit from the advanced chapters on graphical user interfaces and functional programming.
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https://doi.org/10.1017/9781108642408
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