Python Pocket Reference, 5th edition by Mark Lutz

Python Pocket Reference, 5th edition by Mark Lutz | 4.96 MB
English | 264 Pages
Title: Python Pocket Reference
Author: Mark Lutz
Year: 2013
Description:
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.
DOWNLOAD:
https://rapidgator.net/file/67ac70eaf45cea5a183c3f05f63e1d63/Python_Pocket_Reference_5th_edition_by_Mark_Lutz.rar
https://uploadgig.com/file/download/ceBc7bcfD42F3630/Python_Pocket_Reference_5th_edition_by_Mark_Lutz.rar
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, descriptors, metaclasses, and Unicode processing
DOWNLOAD:
https://rapidgator.net/file/67ac70eaf45cea5a183c3f05f63e1d63/Python_Pocket_Reference_5th_edition_by_Mark_Lutz.rar
https://uploadgig.com/file/download/ceBc7bcfD42F3630/Python_Pocket_Reference_5th_edition_by_Mark_Lutz.rar


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