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

By: 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:
  • volume
ISBN:
  • 9781530051120
  • 1530051126
Other title:
  • Exploring data using Python 3
Subject(s): Genre/Form: LOC classification:
  • QA76.73.P98 S48 2016
Online resources:
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.
Holdings
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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