这本Python入门（影印版 英文版） [Introducing Python]图书，是2015-09-01月由东南大学出版社所出版的，著作者信息： Bill Lubanovic 著，本版是第1次印刷， ISBN：9787564159139，品牌：南京东南大学出版社, 这本书的包装是16开平装，所用纸张为胶版纸，全书页数454，字数有58万8000字， 是本值得推荐的Python软件开发图书。
此书内容摘要
《Python入门（影印版 英文版）》容易理解而且读起来幽默风趣，对于编程初学者和Python语言新手而言是理想的书籍。作者卢布诺维克带你从基础知识开始，到深入和多样的议题，用混合了教材以及指南风格的代码片段来解释Python3中的概念。《Python入门（影印版 英文版）》章节末尾还有练习题帮助你练习刚刚学过的内容。
你将为这门语言打下坚实的基础，包括测试、调试、代码复用和其他开发技巧的实践。
《Python入门（影印版 英文版）》将向你展示如何通过各种工具和开源代码包，将Python应用于商业、科学和艺术等领域中。
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暂无.Python入门（影印版 英文版） [Introducing Python]图书的目录
Preface1. ATaste of Py
Python in the Real World
Python versus Language X
So， Why Python?
When Not to Use Python
Python 2 versus Python 3
Installing Python
Running Python
Using the Interactive Interpreter
Use Python Files
What's Next?
Your Moment of Zen
Things to Do
2. Py Ingredients： Numbers， Strings， and Variables
Variables， Names， and Objects
Numbers
Integers
Precedence
Bases
Type Conversions
How Big Is an int?
Floats
Math Functions
Strings
Create with Quotes
Convert Data Types by Using str（）
Escape with \
Combine with +
Duplicate with *
Extract a Character with []
Slice with [ start ： end ： step ]
Get Length with len0
Split with split（）
Combine with join（）
Playing with Strings
Case and Alignment
Substitute with replace（）
More String Things
Things to Do
3. Py Filling： Lists， Tuples， Dictionaries， and Sets
Lists and Tuples
Lists
Create with [] or list（）
Convert Other Data Types to Lists with list（）
Get an Item by Using [ offset ]
Lists of Lists
Change an Item by [ offset ]
Get a Slice to Extract Items by Offset Range
Add an Item to the End with append（）
Combine Lists by Using extend（） or +=
Add an Item by Offset with insert（）
Delete an Item by Offset with del
Delete an Item by Value with remove（）
Get an Item by Offset and Delete It by Using pop（）
Find an Item's Offset by Value with index（）
Test for a Value with in
Count Occurrences of a Value by Using count（）
Convert to a String with join（）
Reorder Items with sort（）
Get Length by Using len（）
Assign with =， Copy with copy（）
Tuples
Create a Tuple by Using 0
Tuples versus Lists
Dictionaries
Create with {}
Convert by Using dict（）
4. Py Crust： Code Structures
5. Py Boxes： Modules， Packages， and Programs
6. Oh Oh： Objects and Classes
7. Mangle Data Like a Pro
8. Data Has to Go Somewhere
9. The Web， Untangled
10. Systems
11. Concurrency and Networks
12. Be a Pythonista
A. PyArt
B. Pyat Work
C. PySci
D. Install Python 3
E. Answers to Exercises
F. Cheat Sheets
Index
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《Python入门（影印版 英文版）》：That initial blank output line is the empty string''， which stands for the current directory.If '' is First in sys .path， Python looks in the current directory first when you try to import something： import report looks for report.py.
The first match willbe used.This means that ifyou define a module named random and it's in the search path before the standard library， you won't be able to access the standard library's random now.
Packages
We went from single lines of code， to multiline functions， to standalone programs， to multiple modulesin the same directory To allow Python applications to scale even more， you can organize modules into file hierarchies called packages.
Maybe we want different types of text forecasts： one for the next day and one for the next week.One way to structure this is to make a directory named sources， and create two modules within it： daily.py and weekly.py.Each has a function called forecast.The daily version returns a string， and the weekly version returns a list of seven strings.Here's the main program and the two modules.（The enuvierate（） function takes apart alist and feeds each item of the list to the for loop， adding a number to each item as a liffle bonus.）.
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Python入门（影印版 英文版） [Introducing Python]最新最全的试读、书评、目录、简介信息由Python中文网整理提供。