• Complain

Lutz - Learning Python

Here you can read online Lutz - Learning Python full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2013, publisher: OReilly Media, genre: Home and family. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

Lutz Learning Python
  • Book:
    Learning Python
  • Author:
  • Publisher:
    OReilly Media
  • Genre:
  • Year:
    2013
  • Rating:
    3 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 60
    • 1
    • 2
    • 3
    • 4
    • 5

Learning Python: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Learning Python" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutzs popular training course, this updated fifth edition will help you quickly write efficient, high-quality code with Python. Its an ideal way to begin, whether youre 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. Youll also learn some advanced language features that recently have become more common in Python code. Explore Pythons major built-in object types such as numbers, lists, and dictionaries Create and process objects with Python statements, and learn Pythons 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: Pythons object-oriented programming tool for structuring code Write large programs with Pythons exception-handling model and development tools Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing.

Lutz: author's other books


Who wrote Learning Python? Find out the surname, the name of the author of the book and a list of all author's works by series.

Learning Python — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Learning Python" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Learning Python
Mark Lutz
Beijing Cambridge Farnham Kln Sebastopol Tokyo Dedication To Vera You are - photo 1

Beijing Cambridge Farnham Kln Sebastopol Tokyo

Dedication

To Vera.

You are my life.

Special Upgrade Offer

If you purchased this ebook directly from oreilly.com, you have the following benefits:

  • DRM-free ebooksuse your ebooks across devices without restrictions or limitations

  • Multiple formatsuse on your laptop, tablet, or phone

  • Lifetime access, with free updates

  • Dropbox syncingyour files, anywhere

If you purchased this ebook from another retailer, you can upgrade your ebook to take advantage of all these benefits for just $4.99. to access your ebook upgrade.

Please note that upgrade offers are not available from sample content.

A Note Regarding Supplemental Files

Supplemental files and examples for this book can be found at http://examples.oreilly.com/0636920028154/. Please use a standard desktop web browser to access these files, as they may not be accessible from all ereader devices.

All code files or examples referenced in the book will be available online. For physical books that ship with an accompanying disc, whenever possible, weve posted all CD/DVD content. Note that while we provide as much of the media content as we are able via free download, we are sometimes limited by licensing restrictions. Please direct any questions or concerns to .

Preface

If youre standing in a bookstore looking for the short story on this book, try this:

  • Python is a powerful multiparadigm computer programming language, optimized for programmer productivity, code readability, and software quality.

  • This book provides a comprehensive and in-depth introduction to the Python language itself. Its goal is to help you master Python fundamentals before moving on to apply them in your work. Like all its prior editions, this book is designed to serve as a single, all-inclusive learning resource for all Python newcomers, whether they will be using Python 2.X, Python 3.X, or both.

  • This edition has been brought up to date with Python releases 3.3 and 2.7, and has been expanded substantially to reflect current practice in the Python world.

This preface describes this books goals, scope, and structure in more detail. Its optional reading, but is designed to provide some orientation before you get started with the book at large.

This Books Ecosystem

Python is a popular open source programming language used for both standalone programs and scripting applications in a wide variety of domains. It is free, portable, powerful, and is both relatively easy and remarkably fun to use. Programmers from every corner of the software industry have found Pythons focus on developer productivity and software quality to be a strategic advantage in projects both large and small.

Whether you are new to programming or are a professional developer, this book is designed to bring you up to speed on the Python language in ways that more limited approaches cannot. After reading this book, you should know enough about Python to apply it in whatever application domains you choose to explore.

By design, this book is a tutorial that emphasizes the core Python language itself, rather than specific applications of it. As such, this book is intended to serve as the first in a two-volume set:

  • Learning Python, this book, teaches Python itself, focusing on language fundamentals that span domains.

  • Programming Python, among others, moves on to show what you can do with Python after youve learned it.

This division of labor is deliberate. While application goals can vary per reader, the need for useful language fundamentals coverage does not. Applications-focused books such as Programming Python pick up where this book leaves off, using realistically scaled examples to explore Pythons role in common domains such as the Web, GUIs, systems, databases, and text. In addition, the book Python Pocket Reference provides reference materials not included here, and it is designed to supplement this book.

Because of this books focus on foundations, though, it is able to present Python language fundamentals with more depth than many programmers see when first learning the language. Its bottom-up approach and self-contained didactic examples are designed to teach readers the entire language one step at a time.

The core language skills youll gain in the process will apply to every Python software system youll encounterbe it todays popular tools such as Django, NumPy, and App Engine, or others that may be a part of both Pythons future and your programming career.

Because its based upon a three-day Python training class with quizzes and exercises throughout, this book also serves as a self-paced introduction to the language. Although its format lacks the live interaction of a class, it compensates in the extra depth and flexibility that only a book can provide. Though there are many ways to use this book, linear readers will find it roughly equivalent to a semester-long Python class.

About This Fifth Edition

The prior fourth edition of this book published in 2009 covered Python versions 2.6 and 3.0.[] It addressed the many and sometimes incompatible changes introduced in the Python 3.X line in general. It also introduced a new OOP tutorial, and new chapters on advanced topics such as Unicode text, decorators, and metaclasses, derived from both the live classes I teach and evolution in Python best practice.

This fifth edition completed in 2013 is a revision of the prior, updated to cover both Python 3.3 and 2.7 , the current latest releases in the 3.X and 2.X lines. It incorporates all language changes introduced in each line since the prior edition was published, and has been polished throughout to update and sharpen its presentation. Specifically:

  • Python 2.X coverage here has been updated to include features such as dictionary and set comprehensions that were formerly for 3.X only, but have been back-ported for use in 2.7.

  • Python 3.X coverage has been augmented for new yield and raise syntax; the __pycache__ bytecode model; 3.3 namespace packages; PyDocs all-browser mode; Unicode literal and storage changes; and the new Windows launcher shipped with 3.3.

  • Assorted new or expanded coverage for JSON, timeit, PyPy, os.popen, generators, recursion, weak references, __mro__, __iter__, super, __slots__, metaclasses, descriptors, random, Sphinx, and more has been added, along with a general increase in 2.X compatibility in both examples and narrative.

This edition also adds a new conclusion as for a concise summary of Python changes between the prior edition and this one, as well as links to their coverage in the book. This appendix also summarizes initial differences between 2.X and 3.X in general that were first addressed in the prior edition, though some, such as new-style classes, span versions and simply become mandated in 3.X (more on what the Xs mean in a moment).

Per the last bullet in the preceding list, this edition has also experienced some growth because it gives fuller coverage to more

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Learning Python»

Look at similar books to Learning Python. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Learning Python»

Discussion, reviews of the book Learning Python and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.