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Quickstart Python = an introduction ...

Schafer, Christoph.

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Quickstart Python = an introduction to programming for STEM students /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Quickstart Python/ by Christoph Schafer.
Reminder of title:	an introduction to programming for STEM students /
Author:	Schafer, Christoph.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden : : 2021.,
Description:	viii, 57 p. :ill., digital ;24 cm.
[NT 15003449]:	Installation of Python and basic structure of a Python program -- data types, variables, lists, strings, dictionaries, operators and functions -- structuring with conditional statements and modules -- extensions for natural scientists: NumPy, SciPy, Matplotlib, pandas.
Contained By:	Springer Nature eBook
Subject:	Python (Computer program language) -
Online resource:	https://doi.org/10.1007/978-3-658-33552-6
ISBN:	9783658335526

Quickstart Python = an introduction to programming for STEM students /
Schafer, Christoph.

Quickstart Pythonan introduction to programming for STEM students /[electronic resource] :by Christoph Schafer. - Wiesbaden :Springer Fachmedien Wiesbaden :2021. - viii, 57 p. :ill., digital ;24 cm. - essentials,2731-3115. - essentials..

Installation of Python and basic structure of a Python program -- data types, variables, lists, strings, dictionaries, operators and functions -- structuring with conditional statements and modules -- extensions for natural scientists: NumPy, SciPy, Matplotlib, pandas.

ISBN: 9783658335526

Standard No.: 10.1007/978-3-658-33552-6doiSubjects--Topical Terms:

729789
Python (Computer program language)

LC Class. No.: QA76.73.P98 / S3313 2021

Dewey Class. No.: 005.133

Quickstart Python = an introduction to programming for STEM students /
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300 $a viii, 57 p. : $b ill., digital ; $c 24 cm.
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505 0 $a Installation of Python and basic structure of a Python program -- data types, variables, lists, strings, dictionaries, operators and functions -- structuring with conditional statements and modules -- extensions for natural scientists: NumPy, SciPy, Matplotlib, pandas.
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