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Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly -- whether you're new to programming or just new to Python. It's an easy-to-follow self-paced tutorial, based on author and Python expert Mark Lutz's popular training course. Each chapter contains a stand-alone lesson on a key component of the language, and includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go. You'll find lots of annotated examples and illustrations to help you get started with Python 3.0. Learn about Python's major built-in object types, such as numbers, lists, and dictionariesCreate and process objects using Python statements, and learn Python's general syntax modelStructure and reuse code using functions, Python's basic procedural toolLearn about Python modules: packages of statements, functions, and other tools, organized into larger componentsDiscover Python's object-oriented programming tool for structuring codeLearn about the exception-handling model, and development tools for writing larger programsExplore advanced Python tools including decorators, descriptors, metaclasses, and Unicode processing… (más)
I've been a developer for a while now and I wanted to myself introduced to Python. I picked up this book considering it's size - thinking it would cover a lot of concepts. I was "kinda" right. Yes, it is a big book, but it does feel quite wordy at times, though, at times, it helped me reinforce the concepts previously mentioned.
Many code samples compare between 2.x and 3.x, which was good for someone who's already been doing Python, but for a newbie like me, I just stuck to the 3.x examples and concepts.
It would have been way better if the examples would have been progressive - as in, start with something small and actually build some project(s) through the course of the book. Or maybe ask readers to do this through the code questions at the end of the chapters.
What I also found missing was the total lack of unit testing your code, which in my opinion is critical for any kind of programming. ( )
Información procedente del conocimiento común inglés.Edita para encontrar en tu idioma.
This is the 5th edition of Learning Python by Mark Lutz.
Please do not combine with other editions, because they cover different material and correspond to different versions of the Python programming language. This edition covers Python 3.3 and 2.7.
Editores de la editorial
Blurbistas
Idioma original
DDC/MDS Canónico
LCC canónico
▾Referencias
Referencias a esta obra en fuentes externas.
Wikipedia en inglés
Ninguno
▾Descripciones del libro
Google and YouTube use Python because it's highly adaptable, easy to maintain, and allows for rapid development. If you want to write high-quality, efficient code that's easily integrated with other languages and tools, this hands-on book will help you be productive with Python quickly -- whether you're new to programming or just new to Python. It's an easy-to-follow self-paced tutorial, based on author and Python expert Mark Lutz's popular training course. Each chapter contains a stand-alone lesson on a key component of the language, and includes a unique Test Your Knowledge section with practical exercises and quizzes, so you can practice new skills and test your understanding as you go. You'll find lots of annotated examples and illustrations to help you get started with Python 3.0. Learn about Python's major built-in object types, such as numbers, lists, and dictionariesCreate and process objects using Python statements, and learn Python's general syntax modelStructure and reuse code using functions, Python's basic procedural toolLearn about Python modules: packages of statements, functions, and other tools, organized into larger componentsDiscover Python's object-oriented programming tool for structuring codeLearn about the exception-handling model, and development tools for writing larger programsExplore advanced Python tools including decorators, descriptors, metaclasses, and Unicode processing
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Many code samples compare between 2.x and 3.x, which was good for someone who's already been doing Python, but for a newbie like me, I just stuck to the 3.x examples and concepts.
It would have been way better if the examples would have been progressive - as in, start with something small and actually build some project(s) through the course of the book. Or maybe ask readers to do this through the code questions at the end of the chapters.
What I also found missing was the total lack of unit testing your code, which in my opinion is critical for any kind of programming. (