Python for everybody : exploring data using Python 3 / Charles R. Severance.

By: Severance, Charles R [author.]Publisher: Ann Arbor, MI : Charles Severance, 2016Edition: First complete Python 3.0 versionDescription: xii, 229 pages : illustrations ; 26 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781530051120; 1530051126Other title: Exploring data using Python 3Subject(s): Python (Computer program language) | Python (Computer program language) | Python 3.0Genre/Form: Instructional and educational works. | Instructional and educational works.LOC classification: QA76.73.P98 | S48 2016Online resources: Click here to access online | Course materials
Contents:
Why should you learn to write programs? -- Variables, expressions, and statements -- Conditional execution -- Functions -- Iteration -- Strings -- Files -- Lists -- Dictionaries -- Tuples -- Regular expressions -- Networked programs -- Using web services -- Object-oriented programming -- Using databases and SQL -- Visualizing data.
Summary: "Designed to teach people to program even if they have no prior experience. ... Designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet. Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers"--Back cover.
List(s) this item appears in: 2020 New Titles | Learning Python
Item type Current library Call number Copy number Status Date due Barcode Item holds
BOOK BOOK NCAR Library
Mesa Lab
QA76.73.P98 S48 2016 1 Available 50583020009506
Total holds: 0

"This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License"--Title page verso.

Includes index.

Also available online.

"Designed to teach people to program even if they have no prior experience. ... Designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet. Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers"--Back cover.

Why should you learn to write programs? -- Variables, expressions, and statements -- Conditional execution -- Functions -- Iteration -- Strings -- Files -- Lists -- Dictionaries -- Tuples -- Regular expressions -- Networked programs -- Using web services -- Object-oriented programming -- Using databases and SQL -- Visualizing data.

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