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Supercharged Python: Take Your Code to the Next Level

Supercharged Python: Take Your Code to the Next Level

          
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About the Book

Tapping into the full power of Python doesn't have to be difficult

Supercharged Python is written for people who've learned the fundamentals of the language but want to take their skills to the next level.

After a quick review of Python, the book covers: advanced list and string techniques; all the ways to handle text and binary files; financial applications; advanced techniques for writing classes; generators and decorators; and how to master packages such as Numpy (Numeric Python) to supercharge your applications!

  • Use profilers and 'magic methods' to code like a pro
  • Harness the power of regular expressions to process text quickly with a single statement
  • Take advantage of 22 coding shortcuts, along with performance tips, to save time and optimise your code
  • Create really useful classes and objects, for games, simulations, money, mathematics, and more
  • Use multiple modules to build powerful apps while avoiding the 'gotchas'
  • Import packages to dramatically speed up statistical operations - by as much as 100 times!
  • Refer to the five-part language reference to look up fine points of the language
Supercharged Python demonstrates techniques that allow you to write faster and more powerful code, whether you're manipulating large amounts of data or building sophisticated applications.

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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Product Details
  • ISBN-13: 9780135159941
  • Publisher: Pearson Education (US)
  • Publisher Imprint: Addison Wesley
  • Height: 231 mm
  • No of Pages: 672
  • Spine Width: 34 mm
  • Weight: 1074 gr
  • ISBN-10: 0135159946
  • Publisher Date: 15 Jul 2019
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Take Your Code to the Next Level
  • Width: 178 mm


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