
Supercharged Python
Description
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-Art Sedighi, PhD 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 optimize 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.
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Persons
John Bennett was formerly a senior software engineer at Proximity Technology, Franklin Electronic Publishing, and Microsoft Corporation. More recently, he has developed new programming languages using Python as a prototyping tool. He has worked on a variety of software projects, including a handheld spellchecker and East Asian handwriting recognition software. He holds nine U.S. patents.
Content
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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File format: ePUB
Copy protection: Watermark-DRM (Digital Rights Management)
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- Tablet/Smartphone (Android; iOS): Before downloading, install the free app Adobe Digital Editions (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePUB works well for novels and non-fiction books – i.e., „flowing” text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
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