Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly))
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Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly))
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Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly))
Elementas #: 2143914

Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly))

90% of respondents would recommend this to a friend

Elementas #: 2143914

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What Stands Out

Compact Size
Easy to carry, this pocket reference fits in your bag, making it accessible for quick consultations and reducing the hassle of searching for coding solutions on-the-go.
Concise Information
Packed with key Python concepts and syntax, this guide helps both beginners and experienced developers find needed information swiftly, streamlining their coding processes efficiently.
Updated Content
The 5th edition includes the latest Python developments and best practices, ensuring that users have current knowledge for effective programming, enhancing their skills and productivity.

Produkto Aprašymas

Discover the ultimate Python reference guide for quick access to coding knowledge. Shop the O'Reilly Fifth Edition Pocket Reference at Ubuy Lithuania.
  • Python Pocket Reference: Updated for Python 3.4 and 2.7
  • Convenient on-the-job quick reference guide
  • Covers Python types, statements, built-in functions, and exceptions
  • Includes widely used standard library modules and extensions
  • Written by renowned Python trainer Mark Lutz
  • Perfect companion to O'Reilly's Python tutorials
Publisher O'Reilly Media
Publication date March 11, 2014
Edition 5th
Language English
Print length 262 pages
ISBN-10 1449357016
ISBN-13 978-1449357016
Item Weight 2.31 pounds (1.05 kg)
Dimensions 4.25 x 0.5 x 7 inches (10.8 x 1.3 x 17.8 cm)
Part of series Pocket Reference (O'Reilly)
Country of OriginThis item will be imported from US
Date First AvailableApril 03, 2021
What is in the boxPython Pocket Reference: Python... For more details, please check description/product details

Who Should Buy?

Suitable For
  • Budding Programmers

    Great for beginners needing a quick reference to common Python syntax and functions while learning programming.

  • Busy Professionals

    Useful for developers needing a fast and handy guide to Python on the job, improving productivity.

  • Data Analysts

    Ideal for data analysts who require a portable reference for data manipulation and analysis in Python.

Not Suitable For
  • Complete Newbies

    Not suitable for total beginners who need comprehensive explanations and tutorials rather than quick references.

PRODUKTO APRAŠYMAS

Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly))

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Object-Oriented Design Editorial Review

Python Pocket Reference: Python In Your Pocket (Pocket Reference (O'Reilly)) is a compact guide published by O'Reilly Media that serves as an essential tool for both novice and experienced Python programmers. This 5th edition, released on March 11, 2014, spans 262 pages, providing readers with a comprehensive overview of Python programming in a portable format, making it suitable for on-the-go reference. Users appreciate its well-organized content and concise explanations, which allow them to quickly navigate through Python concepts and functions. It's particularly noted for its handy size, fitting comfortably into a pocket or bag.

Customer Reviews & Ratings

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Dalinkitės savo mintimis su kitais klientais

Argumentai

  • Compact size for easy portability
  • Well-structured content for quick reference
  • Concise explanations of Python concepts
  • Ideal for both beginners and experienced users
  • Published by a reputable source, O'Reilly Media

Minusai

  • Some may find it lacks in-depth coverage

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Savybės ir privalumai

  • Convenient pocket guide with concise, need-to-know information on Python
  • Written by Mark Lutz, world's leading Python trainer
  • Covers built-in object types, functions and modules, object-oriented programming tools, standard library modules, and more
  • Ideal companion to O'Reilly's classic Python tutorials
  • Includes Python SQL Database API

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