Based on author Mark Lutz's popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It's an ideal way to begin, whether you're new to programming or a professional developer versed in other languages.
Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz's popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It's an ideal way to begin, whether you're new to programming or a professional developer versed in other languages.nComplete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3 - the latest releases in the 3.X and 2.X lines - plus all other releases in common use today. You'll also learn some advanced language features that recently have become more common in Python code. Explore Python's major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Python's general syntax model Use functions to avoid code redundancy and package code for reuse Organize statements, functions, and other tools into larger components with modules Dive into classes: Python's object-oriented programming tool for structuring code Write large programs with Python's exception-handling model and development tools Learn advanced Python tools, including decorators, deillegalscriptors, metaclasses, and Unicode processing
Mark Lutz is the world leader in Python training, the author of Python's earliest and best-selling texts, and a pioneering figure in the Python community since 1992. He is also the author of O'Reilly's Programming Python and Python Pocket Reference, and Learning Python (all in 4th Editions). Mark can be reached on the web at www.rmi.net/~lutz.
Über den Autor
Mark Lutz is a leading Python trainer, the author of Python's earliest and best-selling texts, and a pioneering figure in the Python world.
Mark is the author of the three O'Reilly books: Learning Python, Programming Python, and Python Pocket Reference, all currently in fourth or fifth editions. He has been using and promoting Python since 1992, started writing Python books in 1995, and began teaching Python classes in 1997. As of Spring 2013, Mark has instructed 260 Python training sessions, taught roughly 4,000 students in live classes, and written Python books that have sold 400,000 units and been translated to at least a dozen languages.
Together, his two decades of Python efforts have helped to establish it as one of the most widely used programming languages in the world today. In addition, Mark has been in the software field for 30 years. He holds BS and MS degrees in computer science from the University of Wisconsin where he explored implementations of the Prolog language, and over his career has worked as a professional software developer on compilers, programming tools,illegalscripting applications, and assorted client/server systems.
Mark maintains a training website (http://learning-python.com) and an additional book support site on the Web (http://www.rmi.net/~lutz).
Inhaltsverzeichnis
n - n n Dedicationn n
n - n n Prefacen n
n - n n Getting Startedn n
n - n n Chapter 1: A Python Q&A Sessionn n
n - n n Chapter 2: How Python Runs Programsn n
n - n n Chapter 3: How You Run Programsn n
n
n n - n n Types and Operationsn n
n - n n Chapter 4: Introducing Python Object Typesn n
n - n n Chapter 5: Numeric Typesn n
n - n n Chapter 6: The Dynamic Typing Interluden n
n - n n Chapter 7: String Fundamentalsn n
n - n n Chapter 8: Lists and Dictionariesn n
n - n n Chapter 9: Tuples, Files, and Everything Elsen n
n
n n - n n Statements and Syntaxn n
n - n n Chapter 10: Introducing Python Statementsn n
n - n n Chapter 11: Assignments, Expressions, and Printsn n
n - n n Chapter 12: if Tests and Syntax Rulesn n
n - n n Chapter 13: while and for Loopsn n
n - n n Chapter 14: Iterations and Comprehensionsn n
n - n n Chapter 15: The Documentation Interluden n
n
n n - n n Functions and Generatorsn n
n - n n Chapter 16: Function Basicsn n
n - n n Chapter 17: Scopesn n
n - n n Chapter 18: Argumentsn n
n - n n Chapter 19: Advanced Function Topicsn n
n - n n Chapter 20: Comprehensions and Generationsn n
n - n n Chapter 21: The Benchmarking Interluden n
n
n n - n n Modules and Packagesn n
n - n n Chapter 22: Modules: The Big Picturen n
n - n n Chapter 23: Module Coding Basicsn n
n - n n Chapter 24: Module Packagesn n
n - n n Chapter 25: Advanced Module Topicsn n
n
n n - n n Classes and OOPn n
n - n n Chapter 26: OOP: The Big Picturen n
n - n n Chapter 27: Class Coding Basicsn n
n - n n Chapter 28: A More Realistic Examplen n
n - n n Chapter 29: Class Coding Detailsn n
n - n n Chapter 30: Operator Overloadingn n
n - n n Chapter 31: Designing with Classesn n
n - n n Chapter 32: Advanced Class Topicsn n
n
n n - n n Exceptions and Toolsn n
n - n n Chapter 33: Exception Basicsn n
n - n n Chapter 34: Exception Coding Detailsn n
n - n n Chapter 35: Exception Objectsn n
n - n n Chapter 36: Designing with Exceptionsn n
n
n n - n n Advanced Topicsn n
n - n n Chapter 37: Unicode and Byte Stringsn n
n - n n Chapter 38: Managed Attributesn n
n - n n Chapter 39: Decoratorsn n
n - n n Chapter 40: Metaclassesn n
n - n n Chapter 41: All Good Thingsn n
n
n n - n n Appendixesn n
n - n n Installation and Configurationn n
n - n n The Python 3.3 Windows Launchern n
n - n n Python Changes and This Bookn n
n - n n Solutions to End-of-Part Exercisesn n
n
n n - n n Colophonn n
n
Klappentext
Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz’s popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. It’s an ideal way to begin, whether you’re new to programming or a professional developer versed in other languages.
Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow, self-paced tutorial gets you started with both Python 2.7 and 3.3— the latest releases in the 3.X and 2.X lines—plus all other releases in common use today. You’ll also learn some advanced language features that recently have become more common in Python code.
* Explore Python’s major built-in object types such as numbers, lists, and dictionaries
* Create and process objects with Python statements, and learn Python’s general syntax model
* Use functions to avoid code redundancy and package code for reuse
* Organize statements, functions, and other tools into larger components with modules
* Dive into classes: Python’s object-oriented programming tool for structuring code
* Write large programs with Python’s exception-handling model and development tools
* Learn advanced Python tools, including decorators, deillegalscriptors, metaclasses, and Unicode processing
