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Python Pocket Reference: Python In Your Pocket (Pocket Reference (Oreilly))

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Updated For Both Python 3.4 And 2.7, This Convenient Pocket Guide Is The Perfect On-The-Job Quick Reference. Youall Find Concise, Need-To-Know Information On Python Types And Statements, Special Method Names, Built-In Functions And Exceptions, Commonly Used Standard Library Modules, And Other Prominent Python Tools. The Handy Index Lets You Pinpoint Exactly What You Need.Written By Mark Lutzawidely Recognized As The Worldas Leading Python Trainerapython Pocket Reference Is An Ideal Companion To Oareillyas Classic Python Tutorials, Learning Python And Programming Python, Also Written By Mark.This Fifth Edition Covers:Built-In Object Types, Including Numbers, Lists, Dictionaries, And Morestatements And Syntax For Creating And Processing Objectsfunctions And Modules For Structuring And Reusing Codepythonas Object-Oriented Programming Toolsbuilt-In Functions, Exceptions, And Attributesspecial Operator Overloading Methodswidely Used Standard Library Modules And Extensionscommand-Line Options And Development Toolthon Idioms And Hintsthe Python Sql Database Api
  • Updated For Both Python 3.4 And 2.7.
  • This Convenient Pocket Guide Is The Perfect On-The-Job Quick Reference. Youall Find Concise.
  • Need-To-Know Information On Python Types And Statements.
  • Special Method Names.
  • Built-In Functions And Exceptions.
  • Commonly Used Standard Library Modules.
  • And Other Prominent Python Tools. The Handy Index Lets You Pinpoint Exactly What You Need.Written By Mark Lutzawidely Recognized As The Worldas Leading Python Trainerapython Pocket Reference Is An Ideal Companion To Oareillyas Classic Python Tutorials.
  • Learning Python And Programming Python.
  • Also Written By Mark.This Fifth Edition Covers:Built-In Object Types.
  • Including Numbers.
  • Lists.
  • Dictionaries.
  • And Morestatements And Syntax For Creating And Processing Objectsfunctions And Modules For Structuring And Reusing Codepythonas Object-Oriented Programming Toolsbuilt-In Functions.
  • Exceptions.
  • And Attributesspecial Operator Overloading Methodswidely Used Standard Library Modules And Extensionscommand-Line Options And Development Toolthon Idioms And Hintsthe Python Sql Database Api.
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