Introducing Python

Introducing Python pdf epub mobi txt 电子书 下载 2025

出版者:O'Reilly Media, Inc.
作者:Bill Lubanovic
出品人:
页数:476
译者:
出版时间:2014-11-7
价格:USD 39.99
装帧:平装
isbn号码:9781449359362
丛书系列:
图书标签:
  • Python
  • python
  • 计算机
  • 编程
  • Programming
  • 英文版
  • Python基础教程
  • 软件开发
  • Python
  • 编程入门
  • 初学者
  • 数据科学
  • 机器学习
  • Web开发
  • 自动化
  • 脚本
  • 编程语言
  • 开源
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具体描述

This book will introduce you to the Python programming language. It’s aimed at beginning

programmers, but even if you’ve written programs before and just want to add

Python to your list of languages, Introducing Python will get you started.

It’s an unhurried introduction, taking small steps from the basics to more involved and

varied topics. I mix cookbook and tutorial styles to explain new terms and ideas, but

not too many at once. Real Python code is included early and often.

Even though this is an introduction, I include some topics that might seem advanced,

such as NoSQL databases and message-passing libraries. I chose these because they can

solve some problems better than standard solutions. You’ll download and install external

Python packages, which is good to know when the “batteries included” with Python

don’t fit your application. And it’s fun to try something new.

I also include some examples of what not to do, especially if you’ve programmed in other

languages and try to adapt those styles to Python. And I won’t pretend that Python is

perfect; I’ll show you what to avoid.

作者简介

Bill Lubanovic has developed software with Unix since 1977, GUIs since 1981, databases

since 1990, and the Web since 1993.

In 1982, at a startup named Intran, he developed MetaForm, one of the first commercial

GUIs (before the Mac or Windows), on one of the first graphic workstations. In the

early 1990s, while at Northwest Airlines, he wrote a graphic yield management system

that generated millions of dollars in revenue; established a presence for the company

on the Internet; and wrote its first Internet marketing test. Later, he cofounded an ISP

(Tela) in 1994, and a web development company (Mad Scheme) in 1999.

Recently, he developed core services and distributed systems with a remote team for a

Manhattan startup. Currently, he’s integrating OpenStack services for a supercomputer

company.

Bill enjoys life in Minnesota with his wonderful wife Mary, children Tom and Karin,

and cats Inga, Chester, and Lucy.

目录信息

1. A Taste of Py. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
Python in the Real World 5
Python versus Language X 6
So, Why Python? 9
When Not to Use Python 9
Python 2 versus Python 3 10
Installing Python 10
Running Python 11
Using the Interactive Interpreter 11
Use Python Files 12
What’s Next? 13
Your Moment of Zen 13
Things to Do 14
2. Py Ingredients: Numbers, Strings, and Variables. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
Variables, Names, and Objects 15
Numbers 19
Integers 19
Precedence 23
Bases 24
Type Conversions 25
How Big Is an int? 26
Floats 27
Math Functions 27
Strings 27
Create with Quotes 28
Convert Data Types by Using str() 30
Escape with 30
Combine with + 31
Duplicate with * 32
Extract a Character with [] 32
Slice with [ start : end : step ] 33
Get Length with len() 35
Split with split() 35
Combine with join() 36
Playing with Strings 36
Case and Alignment 37
Substitute with replace() 38
More String Things 39
Things to Do 39
3. Py Filling: Lists, Tuples, Dictionaries, and Sets. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Lists and Tuples 41
Lists 42
Create with [] or list() 42
Convert Other Data Types to Lists with list() 43
Get an Item by Using [ offset ] 43
Lists of Lists 44
Change an Item by [ offset ] 45
Get a Slice to Extract Items by Offset Range 45
Add an Item to the End with append() 46
Combine Lists by Using extend() or += 46
Add an Item by Offset with insert() 46
Delete an Item by Offset with del 47
Delete an Item by Value with remove() 47
Get an Item by Offset and Delete It by Using pop() 47
Find an Item’s Offset by Value with index() 48
Test for a Value with in 48
Count Occurrences of a Value by Using count() 49
Convert to a String with join() 49
Reorder Items with sort() 49
Get Length by Using len() 50
Assign with =, Copy with copy() 50
Tuples 52
Create a Tuple by Using () 52
Tuples versus Lists 53
Dictionaries 53
Create with {} 54
Convert by Using dict() 5
· · · · · · (收起)

读后感

评分

这本书对新手可能不太友好,但对有一定python基础的来说,讲得相当简洁、深入而透彻,高级特性讲得非常清晰,相比而言很多python入门教材和高级教程一般讲得过于抽象和具体。本人有其他语言基础和一点python经验,本书看起来相当爽,能看清python语言的筋骨和光芒,前半篇满满...  

评分

浏览完了电子版。感觉是一本很有诚意的入门书。作者真心想教会你很多东西。前半部分写的非常好。但是从并行那章开始,感觉开始看不懂了,因为本身比较难,写的也不详细(估计因为篇幅)。接下来的网络部分写的有点看不懂。附录罗列的东西好多,作者懂得很多。总之这本书入门的...  

评分

从4.7开始,作者就写的特别简略,一点都讲不透,给的示例代码也特别不好,不知道作者是不是水平不行啊。4.7这一段,我都是网上各种视频,教程看了一遍,才算过的。 作者写的4.7函数这一段,写的太差了!我只能找别的教程看过这一段的概念,然后再接着看,不知道后面还有没坑。

评分

从4.7开始,作者就写的特别简略,一点都讲不透,给的示例代码也特别不好,不知道作者是不是水平不行啊。4.7这一段,我都是网上各种视频,教程看了一遍,才算过的。 作者写的4.7函数这一段,写的太差了!我只能找别的教程看过这一段的概念,然后再接着看,不知道后面还有没坑。

评分

浏览完了电子版。感觉是一本很有诚意的入门书。作者真心想教会你很多东西。前半部分写的非常好。但是从并行那章开始,感觉开始看不懂了,因为本身比较难,写的也不详细(估计因为篇幅)。接下来的网络部分写的有点看不懂。附录罗列的东西好多,作者懂得很多。总之这本书入门的...  

用户评价

评分

Python在编程方面确实比R要强大,但有些包更新后语法变了也不扔个提示出来,每次都自己折腾好久。。。而且,3.7跑得好好的代码升个3.8就跑不动,一下又折腾一天才搞定。。。

评分

我读过的第一本关于Python的书,平时用Perl习惯了,很自然得拿这本书来跟小骆驼书(Learning Perl)做对比, 这本书信息量更大一些,不仅介绍了Python,同时也介绍了Python的生态圈,主要是一些常用Python的模块。如果有其他语言的编程经验,看完这本书就可以上手Python编程了。

评分

精读了前面介绍语法的6章,后面基本是蜻蜓点水地介绍一些python的库,随便浏览了下大致了解整个python的生态圈。对于有其他语言基础的同学来说是一本比较接地气的python3上手教程。

评分

精读了前面介绍语法的6章,后面基本是蜻蜓点水地介绍一些python的库,随便浏览了下大致了解整个python的生态圈。对于有其他语言基础的同学来说是一本比较接地气的python3上手教程。

评分

涉及的东西太多,然后每个都只能简单介绍一下,也就是说:不得劲啊。

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