Python编程入门：探索Python 3数据处理

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"Python for Everybody: Exploring Data in Python 3" 是一本面向初学者的Python编程书籍，专注于数据探索，适合想要通过编程解决复杂数据问题的学生。作者Charles R. Severance将Python描述为超越电子表格处理数据的强大工具。在本书中，读者将学习如何利用Python 3进行数据科学和数据库相关的操作。作者借鉴了Allen B. Downey和Jeﬀ Elkner等人编写的"ThinkPython: How to Think Like a Computer Scientist"一书，并对其进行"remix"，即在原有基础上进行改编和扩展，使其更适应数据探索的教学需求。内容概要： 1. **Python基础知识**：书中首先会介绍Python 3的基础语法，包括变量、数据类型（如整数、浮点数、字符串、列表、元组、字典）、条件语句、循环、函数定义以及模块的使用，这些都是编程入门的基础。 2. **文件操作与数据输入输出**：Python在处理文件和数据输入输出方面非常强大，读者将学习如何读写文本文件、CSV文件，这对于数据存储和分析至关重要。 3. **正则表达式**：正则表达式是处理和匹配文本数据的强大工具，书中会讲解如何使用Python的re模块进行正则表达式的匹配和查找。 4. **网络数据获取**：Python能用于爬取和处理网页数据，读者将学习使用HTTP协议、URL库和BeautifulSoup等工具抓取和解析HTML内容。 5. **数据存储与数据库**：书中会介绍如何使用Python连接和操作关系型数据库（如SQLite），以及SQL查询语言的基础知识，这对于处理大量数据十分有用。 6. **数据分析基础**：虽然不是深入的数据科学教材，但读者将了解基本的数据分析概念，如数据清洗、统计分析和简单的可视化，使用Python的Pandas库和Matplotlib库。 7. **图形和可视化**：Python的Matplotlib库可以帮助创建各种图表，使数据可视化的概念更容易理解，这在数据解释和展示时非常关键。 8. **数据结构进阶**：除了基础的数据结构，读者还会接触到更高级的概念，如堆栈、队列、树和图，这些在解决复杂数据问题时非常重要。通过这本书的学习，读者不仅可以掌握Python编程基础，还能了解到如何用Python解决实际的数据问题，从而为未来在数据科学领域进一步学习和工作打下坚实基础。同时，这本书的开放许可允许非商业性使用和分享，鼓励读者根据自身需求对内容进行调整和改进。

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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