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Supercharged Python: Take Your Code to the Next Level| First Edition | By Pearson (Paperback)  | Released: 01-Jan-20

By: John Bennett (Author)   Publisher: Pearson Education
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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... Read More

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Author:

John Bennett

Publisher Name:

Pearson Education

Language:

English

Binding:

(Paperback)

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. 1. Use profilers and “magic methods” to code like a pro 2. Harness the power of regular expressions to process text quickly with a single statement 3. Take advantage of 22 coding shortcuts, along with performance tips, to save time and optimize your code 4. Create really useful classes and objects, for games, simulations, money, mathematics, and more 5. Use multiple modules to build powerful apps while avoiding the “gotchas” 6. Import packages to dramatically speed up statistical operations—by as much as 100 times! 7. Refer to the five-part language reference to look up fine points of the language 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