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Python for Linguists

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Python for LinguistsMichael Hammond.
作者:	Hammond, Michael.
出版者:	Cambridge :Cambridge University Press,2020.
面頁冊數:	xii, 300 p. :ill., digital ;24 cm.
附註:	Title from publisher's bibliographic system (viewed on 22 Apr 2020).
標題:	Python (Computer program language)
電子資源:	https://doi.org/10.1017/9781108642408
ISBN:	9781108642408$q(electronic bk.)

Python for Linguists
Hammond, Michael.

Python for Linguists[electronic resource] /Michael Hammond. - Cambridge :Cambridge University Press,2020. - xii, 300 p. :ill., digital ;24 cm.

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$q(electronic bk.)Subjects--Topical Terms:

215247
Python (Computer program language)

LC Class. No.: QA76.73.P98 / H3625 2020

Dewey Class. No.: 005.133

Python for Linguists
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500 $a Title from publisher's bibliographic system (viewed on 22 Apr 2020).
520 $a 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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856 4 0 $u https://doi.org/10.1017/9781108642408