Description

Book Synopsis


Table of Contents
  • Chapter 1: Review of the Fundamentals
  • Chapter 2: Advanced String Capabilities
  • Chapter 3: Advanced List Capabilities
  • Chapter 4: Shortcuts, Command Line, and Packages
  • Chapter 5: Formatting Text Precisely
  • Chapter 6: Regular Expressions, Part I
  • Chapter 7: Regular Expressions, Part II
  • Chapter 8: Text and Binary Files
  • Chapter 9: Classes and Magic Methods
  • Chapter 10: Decimal, Money, and Other Classes
  • Chapter 11: The Random and Math Packages
  • Chapter 12: The “numpy” (Numeric Python) Package
  • Chapter 13: Advanced Uses of “numpy”
  • Chapter 14: Multiple Modules and the RPN Example
  • Chapter 15: Getting Financial Data off the Internet
  • Appendix A Python Operator Precedence Table
  • Appendix B Built-In Python Functions
  • Appendix C Set Methods
  • Appendix D Dictionary Methods
  • Appendix E Statement Reference

Supercharged Python

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RRP £33.99 – you save £3.40 (10%)

Order before 4pm tomorrow for delivery by Thu 22 Jan 2026.

A Paperback / softback by Brian Overland, John Bennett

15 in stock


    View other formats and editions of Supercharged Python by Brian Overland

    Publisher: Pearson Education (US)
    Publication Date: 08/07/2019
    ISBN13: 9780135159941, 978-0135159941
    ISBN10: 0135159946

    Description

    Book Synopsis


    Table of Contents
    • Chapter 1: Review of the Fundamentals
    • Chapter 2: Advanced String Capabilities
    • Chapter 3: Advanced List Capabilities
    • Chapter 4: Shortcuts, Command Line, and Packages
    • Chapter 5: Formatting Text Precisely
    • Chapter 6: Regular Expressions, Part I
    • Chapter 7: Regular Expressions, Part II
    • Chapter 8: Text and Binary Files
    • Chapter 9: Classes and Magic Methods
    • Chapter 10: Decimal, Money, and Other Classes
    • Chapter 11: The Random and Math Packages
    • Chapter 12: The “numpy” (Numeric Python) Package
    • Chapter 13: Advanced Uses of “numpy”
    • Chapter 14: Multiple Modules and the RPN Example
    • Chapter 15: Getting Financial Data off the Internet
    • Appendix A Python Operator Precedence Table
    • Appendix B Built-In Python Functions
    • Appendix C Set Methods
    • Appendix D Dictionary Methods
    • Appendix E Statement Reference

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