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Python distilled / David M. Beazley.

By: Material type: TextTextPublisher: Noida : Pearson, 2022Description: xvi, 290 pages ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789356063693 (pbk.)
Subject(s): DDC classification:
  • 23 005.133 BEA 021238
Summary: "Focusing on Python 3.6 and higher, Python Distilled focuses on an essential core of the language, with updated code examples to illuminate how Python works and how to structure programs that can be more easily explained, tested, and debugged. Throughout, David Beazley (author of Python Essential Reference) reflects all he's learned teaching Python to scientists, engineers, and developers, and pushing the envelope of what makes Python tick. Rather than trying to cover every possible feature and quirk of a 30-year language, this pragmatic guide provides a concise narrative related to fundamental programming topics such as data abstraction, control flow, program structure, functions, objects, and modules--topics that form the foundation for Python projects of any size"--
List(s) this item appears in: New Arrivals- May 2024 | New Arrivals June 2024
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Item type Current library Call number Status Date due Barcode
Book Book Indian Institute for Human Settlements, Bangalore 005.133 BEA 021238 (Browse shelf(Opens below)) Available 021238

"Focusing on Python 3.6 and higher, Python Distilled focuses on an essential core of the language, with updated code examples to illuminate how Python works and how to structure programs that can be more easily explained, tested, and debugged. Throughout, David Beazley (author of Python Essential Reference) reflects all he's learned teaching Python to scientists, engineers, and developers, and pushing the envelope of what makes Python tick. Rather than trying to cover every possible feature and quirk of a 30-year language, this pragmatic guide provides a concise narrative related to fundamental programming topics such as data abstraction, control flow, program structure, functions, objects, and modules--topics that form the foundation for Python projects of any size"--

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