Python编程入门：探索Python 3数据处理

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"适用于所有人的Python：探索Python 3中的数据Python for Everybody: Exploring Data in Python 3" 本书是Charles R. Severance所著，旨在以数据探索的角度引导学生入门编程和软件开发，利用Python编程语言来解决电子表格无法处理的数据问题。书中通过实例和实践，帮助读者掌握Python 3的基础知识，特别是针对数据处理和分析。标签"网页程式设计"表明，尽管书中的内容可能不局限于网页开发，但部分章节可能会涉及与网络相关的数据获取和处理，如使用Python进行网页抓取。部分内容提及了书籍的更新历史，自2015年首次进行Python 3.0的初步转换，至2016年完成完整的Python 3.0版本。同时，这本书遵循了创作共用 Attribution-NonCommercial-ShareAlike 3.0 Unported License，允许非商业性使用和改编，但需给予作者署名，并保持相同许可。前言中，作者提到本书是对Allen B. Downey的《ThinkPython: How to Think Like a Computer Scientist》一书的“remix”版本，即在原有基础上进行创新和扩展，适应不同的教学和学习需求。作者希望借此实验性的方式，提供一种新的学习资源，而不是完全从零开始创建全新的教材。在教学实践中，作者计划教授SI502-Networked Programming课程，这暗示了书中可能包含网络编程的内容，如HTTP协议、API接口的使用等，以便于读者理解如何在网络环境中处理和分析数据。全书可能涵盖以下知识点： 1. Python基础：包括变量、数据类型（如整型、浮点型、字符串、列表、元组、字典）、控制流（条件语句、循环）、函数定义与调用、模块导入。 2. 数据操作：介绍Python中的数据结构，如列表的遍历、排序、切片操作，以及字典的键值对操作。 3. 文件操作：学习读写文件，以及处理大型数据文件，如CSV或JSON格式。 4. 错误和异常处理：理解Python中的异常机制，如何编写健壮的代码。 5. 正则表达式：用于数据清洗和匹配的高级文本处理技术。 6. 数据库操作：通过Python连接数据库，如SQLite，执行查询和事务管理。 7. 网络编程：利用Python的requests库进行网页抓取，解析HTML和XML文档，理解HTTP协议。 8. 数据可视化：使用matplotlib或其他库展示数据图表，帮助理解数据趋势。 9. Web API：了解如何与Web服务交互，获取和发送数据。 10. 数据分析基础：使用pandas库进行数据预处理，包括数据清洗、合并、分组和聚合。 11. 数据科学库介绍：如NumPy和SciPy，用于数值计算和科学计算。 12. 实战项目：通过实际项目应用所学知识，解决具体的数据问题。《适用于所有人的Python：探索Python 3中的数据》是一本适合初学者的Python编程教程，特别强调了数据处理和分析的应用，不仅覆盖了Python的基础语法，还深入到数据操作、网络编程和数据分析等领域，为读者提供了全面的Python学习路径。

4 CHAPTER 1. WHY SHOULD YOU LEARN TO WRITE PROGRAMS?

As a programmer, your job is to use and orchestrate each of these resources to

solve the problem that you need to solve and analyze the data you get from the

solution. As a programmer you will mostly be “talking” to the CPU and telling

it what to do next. Sometimes you will tell the CPU to use the main memory,

secondary memory, network, or the input/output devices.

Input and

Output

Devices

Software

Main

Memory

Central

Processing

Unit

What

Next?

Network

Secondary

Memory

Figure 1.4: Where Are You?

You need to be the person who answers the CPU’s “What next?” question. But it

would be very uncomfortable to shrink you down to 5mm tall and insert you into

the computer just so you could issue a command three billion times per second. So

instead, you must write down your instructions in advance. We call these stored

instructions a program and the act of writing these instructions down and getting

the instructions to be correct programming.

1.3 Understanding programming

In the rest of this book, we will try to turn you into a p er son who is skilled in the art

of programming. In the end you will be a programmer - perhaps not a professional

programmer, but at least you will have the skills to look at a data/information

analysis problem and develop a program to solve the problem.

In a sense, you need two skills to be a programmer:

• First, you need to know the programming language (Python) - you need to

know the vocabulary and the grammar. You need to be able to spell the

words in this new language properly and know how to construct well-formed

“sentences” in this new language.

• Second, you need to “tell a story”. In writing a story, you combine words

and sentences to convey an idea to the reader. There is a skill and art in

constructing the story, and skill in story writing is improved by doing some

writing and getting some feedback. In programming, our program is the

“story” and the problem you are trying to solve is the “idea”.

Once you learn one programming language such as Python, you will ﬁnd it much

easier to learn a second programming language such as JavaScript or C++. The

1.4. WORDS AND SENTENCES 5

new programming language has very diﬀerent vocabulary and grammar but the

problem-solving skills will be the same across all programming languages.

You will learn the “vocabulary” and “sentences” of Python pretty quickly. It will

take longer for you to be able to write a coherent program to solve a brand-new

problem. We teach programming much like we teach writing. We start reading

and explaining programs, then we write simple programs, and then we write in-

creasingly complex programs over time. At some point you “get your muse” and

see the patterns on your own and can see more naturally how to take a problem

and write a program that solves that problem. And once you get to that point,

programming becomes a very pleasant and creative process.

We start with the vocabulary and structure of Python programs. Be patient as

the simple examples remind you of when you started reading for the ﬁrst time.

1.4 Words and sentences

Unlike human languages, the Python vocabulary is actually pretty small. We call

this “vocabulary” the “reserved words”. These are words that have very special

meaning to Python. When Python sees these words in a Python program, they

have one and only one meaning to Python. Later as you write programs you will

make up your own words that have meaning to you called variables. You will have

great latitude in choosing your names for your variables, but you cannot use any

of Python’s reserved words as a name for a variable.

When we train a dog, we us e special words like “sit”, “stay”, and “fetch”. When

you talk to a dog and don’t use any of the reserved words, they just look at you

with a quizzical look on their face until you say a r eserved word. For example, if

you say, “I wish more people would walk to improve their overall health”, what

most dogs likely hear is, “blah blah blah walk blah blah blah blah.” That is because

“walk” is a reserved word in dog language. Many might suggest that the language

between humans and cats has no reserved words

The reserved words in the language where humans talk to Python include the

following:

and del global not with

as elif if or yield

assert else import pass

break except in raise

class finally is return

continue for lambda try

def from nonlocal while

That is it, and unlike a dog, Python is already completely trained. When you say

“try”, Python will try every time you say it without fail.

We will learn these reserved words and how they are used in good time, but for

now we will focus on the Python equivalent of “speak” (in human-to-dog language).

The nice thing about telling Python to speak is that we can even tell it what to

say by giving it a message in quotes:

http://xkcd.com/231/

6 CHAPTER 1. WHY SHOULD YOU LEARN TO WRITE PROGRAMS?

print(

'Hello world!')

And we have even written our ﬁrst syntactically correct Python sentence. Our

sentence starts with the function print followed by a string of text of our choosing

enclosed in single quotes. The strings in the print statements are enclosed in quotes.

Single quotes and double quotes do the same thing; most people use single quotes

except in cases like this where a single quote (which is also an apostrophe) appears

in the string.

1.5 Conversing with Python

Now that we have a word and a simple sentence that we know in Python, we need

to know how to start a conversation with Python to test our new language skills.

Before you can converse with Python, you must ﬁrst install the Python software

on your computer and learn how to start Python on your computer. That is too

much detail for this chapter so I suggest that you consult

www.py4e.com where

I have detailed instructions and screencasts of setting up and starting Python on

Macintosh and Windows systems. At some point, you will be in a terminal or

command window and you will type python and the Python interpreter will start

executing in interactive mode and appear somewhat as follows:

Python

3.5.1 (v3.5.1:37a07cee5969, Dec 6 2015, 01:54:25)

[MSC v

.1900 64 bit (AMD64)] on win32

Type

"help", "copyright", "credits" or "license" for more

information.

>>>

The >>> prompt is the Python interpreter’s way of asking you, “What do you want

me to do next?” Python is ready to have a conversation with you. All you have

to know is how to speak the Python language.

Let’s say for example that you did not know even the simplest Python language

words or sentences. You might want to use the standard line that astronauts use

when they land on a faraway planet and try to speak with the inhabitants of the

planet:

>>> I come in peace, please take me to your leader

File "<stdin>", line 1

I come in peace, please take me to your leader

SyntaxError: invalid syntax

>>>

This is not going so well. Unless you think of something quickly, the inhabitants

of the planet are likely to stab you with their spears, put you on a spit, roast you

over a ﬁre, and eat you for dinner.

Luckily you brought a copy of this book on your travels, and you thumb to this

very page and try again:

1.5. CONVERSING WITH PYTHON 7

>>> print('Hello world!')

Hello world!

This is looking much better, so you try to communicate some more:

>>> print('You must be the legendary god that comes from the sky')

You must be the legendary god that comes from the sky

>>> print('We have been waiting for you for a long time')

We have been waiting

for you for a long time

>>> print('Our legend says you will be very tasty with mustard')

Our legend says you will be very tasty

with mustard

>>> print 'We will have a feast tonight unless you say

File "<stdin>", line 1

print '

We will have a feast tonight unless you say

SyntaxError: Missing parentheses in call to 'print'

>>>

The conversation was going so well for a while and then you made the tiniest

mistake using the Python language and Python brought the spears back out.

At this point, you should also realize that while Python is amazingly complex and

powerful and very picky about the syntax you use to communicate with it, Python

is not intelligent. You are really just having a conversation with yourself, but using

proper syntax.

In a sense, when you use a program written by someone else the conversation is

between you and those other programmers with Python acting as an intermediary.

Python is a way for the creators of programs to express how the conversation is

supposed to proceed. And in just a few more chapters, you will be one of those

programmers using Python to talk to the users of your program.

Before we leave our ﬁrst conversation with the Python interpreter, you should prob-

ably know the proper way to say “good-bye” when interacting with the inhabitants

of Planet Python:

>>> good-bye

Traceback (most recent call last):

File

"<stdin>", line 1, in <module>

NameError: name 'good' is not defined

>>> if you don't mind, I need to leave

File "<stdin>", line 1

if you don'

t mind, I need to leave

SyntaxError: invalid syntax

>>> quit()

You will notice that the error is diﬀerent for the ﬁrst two incorrect attempts. The

second error is diﬀerent because if is a reserved word and Python saw the reserved

word and thought we were trying to say something but got the syntax of the

sentence wrong.

8 CHAPTER 1. WHY SHOULD YOU LEARN TO WRITE PROGRAMS?

The proper way to say “good-bye” to Python is to enter quit() at the interactive

chevron >>> prompt. It would have probably taken you quite a while to guess that

one, so having a book handy probably will turn out to be helpful.

1.6 Terminology: Interpreter and compiler

Python is a high-level language intended to be relatively straightforward for hu-

mans to read and write and for computers to read and process. Other high-level

languages include Java, C++, PHP, Ruby, Basic, Perl, JavaScript, and many more.

The actual hardware inside the Central Processing Unit (CPU) does not under-

stand any of these high-level languages.

The CPU understands a language we call machine language. Machine language is

very simple and frankly very tiresome to write because it is represented all in zeros

and ones:

001010001110100100101010000001111

11100110000011101010010101101101

...

Machine language seems quite simple on the surface, given that there are only zeros

and ones, but its syntax is even more complex and far more intricate than Python.

So very few programmers ever write machine language. Instead we build various

translators to allow programmers to write in high-level languages like Python or

JavaScript and these translators convert the programs to machine language for

actual execution by the CPU.

Since machine language is tied to the computer hardware, machine language is not

portable across diﬀerent types of hardware. Programs written in high-level lan-

guages can be moved between diﬀerent computers by using a diﬀerent interpreter

on the new machine or recompiling the code to create a machine language version

of the program for the new machine.

These programming language translators fall into two general categories: (1) inter-

preters and (2) compilers.

An interpreter reads the source code of the program as written by the programmer,

parses the source code, and interprets the instructions on the ﬂy. Python is an

interpreter and when we are running Python interactively, we can type a line of

Python (a sentence) and Python processes it immediately and is ready for us to

type another line of Python.

Some of the lines of Python tell Python that you want it to remember some value

for later. We need to pick a name for that value to be remembered and we can use

that symbolic name to retrieve the value later. We use the term variable to refer

to the labels we use to refer to this stored data.

>>> x = 6

>>> print(x)

>>> y = x * 7

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