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Python Distilled - David Beazley - Bog

Bag om Python Distilled

Focusing solely on the latest versions of Python (3.5 and higher), Python Distilled, from Beazley, returns to the roots of his classic Python Essential Reference: it is a concise, but powerfully useful book on effective Python programming. However, rather than trying to document everything, Beazley now focuses on the truly essential. In so doing, he reflects all he has learned through years of teaching Python to scientists, engineers, and software professionals, writing software libraries, and pushing the envelope of what Python makes possible. Python Distilled covers abstraction techniques, program structure, data, functions, objects, modules, and other topics selected to serve programmers working on Python projects of any size. Beazley never forgets that productivity is not enough: programming ought to capture the magic that lives inside the computer. It should be fun, too.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780134173276
  • Indbinding:
  • Paperback
  • Sideantal:
  • 352
  • Udgivet:
  • 16. november 2021
  • Størrelse:
  • 233x178x25 mm.
  • Vægt:
  • 618 g.
  • Ukendt - mangler pt..

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  • BLACK NOVEMBER

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Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Python Distilled

Focusing solely on the latest versions of Python (3.5 and higher), Python Distilled, from Beazley, returns to the roots of his classic Python Essential Reference: it is a concise, but powerfully useful book on effective Python programming. However, rather than trying to document everything, Beazley now focuses on the truly essential. In so doing, he reflects all he has learned through years of teaching Python to scientists, engineers, and software professionals, writing software libraries, and pushing the envelope of what Python makes possible.

Python Distilled covers abstraction techniques, program structure, data, functions, objects, modules, and other topics selected to serve programmers working on Python projects of any size. Beazley never forgets that productivity is not enough: programming ought to capture the magic that lives inside the computer. It should be fun, too.

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