Learning Python

If you want to write efficient, high-quality code that s easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly. Learning Python, Fifth Edition, is an easy-to-follow, self-paced tutorial based on author and Python expert Mark Lutz s popular training course. You ll find lots of annotated examples and illustrations to help you get started with Python 2.7 and 3.3. Each chapter contains a standalone lesson on a key component of the language. Learn about Python s major built-in object types such as numbers, lists, and dictionaries Create and process objects using Python statements, and learn Python s general syntax model Structure and reuse code with Python s basic procedural tool Learn about Python modules: packages of statements, functions, and other tools organized into larger components Discover Python s object-oriented programming tool for structuring code Learn about the exception-handling model and development tools for writing larger programs Explore advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing

If you want to write efficient, high-quality code that s easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly. Learning Python, Fifth Edition, is an easy-to-follow, self-paced tutorial based on author and Python expert Mark Lutz s popular training course. You ll find lots of annotated examples and illustrations to help you get started with Python 2.7 and 3.3. Each chapter contains a standalone lesson on a key component of the language. Learn about Python s major built-in object types such as numbers, lists, and dictionaries Create and process objects using Python statements, and learn Python s general syntax model Structure and reuse code with Python s basic procedural tool Learn about Python modules: packages of statements, functions, and other tools organized into larger components Discover Python s object-oriented programming tool for structuring code Learn about the exception-handling model and development tools for writing larger programs Explore advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing