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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))
Item #: 2143914

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

Item #: 2143914

€ 20

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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.

Product Details

Discover the ultimate Python reference guide for quick access to coding knowledge. Shop the O'Reilly Fifth Edition Pocket Reference at Ubuy Malta.
  • 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)

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.

Product Description

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

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