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HeadFirst Python：深度学习实战指南

英文、Python

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"ShenRuQianChuPython - 高清英文版Python学习书籍，适合双语学习者，涵盖Python语言及实际应用" 《ShenRuQianChuPython》是一本面向Python初学者的英文书籍，其特点是高清且带有页签，便于阅读和标记。该书特别适合那些希望同时提升Python编程技能和英语水平的学习者。通过阅读这本书，读者不仅能够学习到Python的基础语法，还能了解到Python在现实世界中的实际应用。书中的"Advance Praise for Head First Python"部分引用了几位业内专家的评论。David Griffiths，一位作者和敏捷教练，高度赞扬了这本书，指出它不仅仅涵盖了Python语言的基础，还教授了如何利用Python开发针对Android手机的应用以及Google的App Engine等项目，使得学习更具实用性。 Jeremy Jones，Python for Unix and Linux System Administration的合著者，评价《Head First Python》的独到之处在于它从代码实例出发，而不是先讲理论再举例，这种教学方式能让读者从一开始就动手实践，更有效地学习。他还称赞这本书内容有趣而不轻浮，信息丰富而无高人一等之感，书中丰富的示例和解释覆盖了日常工作中大多数会用到的Python知识，因此他推荐这本书给所有Python初学者。 Phil Hartley，来自University of Advancing Technology，认为《Head First Python》是一本非常出色的书籍，能够帮助读者掌握一种日益重要的语言。这表明这本书对于当前Python的广泛应用具有极高的价值。《ShenRuQianChuPython》以其独特的教学方式和全面的内容，提供了学习Python的理想资源，尤其适合喜欢双语学习和实践导向的读者。无论是对于理解Python语法，还是了解如何将Python应用于实际项目，如移动应用开发或云计算平台，这本书都提供了宝贵的指导。

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table of contents

xiv

Coach Kelly needs your help 140

Sort in one of two ways 144

The trouble with time 148

Comprehending lists 155

Iterate to remove duplicates 161

Remove duplicates with sets 166

Your Python Toolbox 172

Work that data!

comprehending data

Data comes in all shapes and sizes, formats and encodings.

To work effectively with your data, you often have to manipulate and transform it into a

common format to allow for efficient processing, sorting, and storage. In this chapter,

you’ll explore Python goodies that help you work your data up into a sweat, allowing

you to achieve data-munging greatness.

This chapter’s

guaranteed to give you

a workout!

table of contents

Bundling code with data

It’s important to match your data structure choice to your data.

And that choice can make a big difference to the complexity of your code. In Python,

although really useful, lists and sets aren’t the only game in town. The Python dictionary

lets you organize your data for speedy lookup by associating your data with names, not

numbers. And when Python’s built-in data structures don’t quite cut it, the Python class

statement lets you define your own. This chapter shows you how.

custom data objects

Coach Kelly is back (with a new file format) 174

Use a dictionary to associate data 178

Bundle your code and its data in a class 189

Define a class 190

Use class to define classes 191

The importance of self 192

Every method’s first argument is self 193

Inherit from Python’s built-in list 204

Coach Kelly is impressed 211

Your Python Toolbox 212

The Object

Factory

table of contents

xvi

It’s good to share 214

You can put your program on the Web 215

What does your webapp need to do? 218

Design your webapp with MVC 221

Model your data 222

View your interface 226

Control your code 234

CGI lets your web server run programs 235

Display the list of athletes 236

The dreaded 404 error! 242

Create another CGI script 244

Enable CGI tracking to help with errors 248

A small change can make all the difference 250

Your webapp’s a hit! 252

Your Python Toolbox 253

Putting it all together

web development

Sooner or later, you’ll want to share your app with lots of people.

You have many options for doing this. Pop your code on PyPI, send out lots of emails, put

your code on a CD or USB, or simply install your app manually on the computers of those

people who need it. Sounds like a lot of work…not to mention boring. Also, what happens

when you produce the next best version of your code? What happens then? How do

you manage the update? Let’s face it: it’s such a pain that you’ll think up really creative

excuses not to. Luckily, you don’t have to do any of this: just create a webapp instead. And,

as this chapter demonstrates, using Python for web development is a breeze.

table of contents

xvii

Small devices

Putting your data on the Web opens up all types of possibilities.

Not only can anyone from anywhere interact with your webapp, but they are increasingly

doing so from a collection of diverse computing devices: PCs, laptops, tablets, palmtops,

and even mobile phones. And it’s not just humans interacting with your webapp that

you have to support and worry about: bots are small programs that can automate web

interactions and typically want your data, not your human-friendly HTML. In this chapter,

you exploit Python on Coach Kelly’s mobile phone to write an app that interacts with your

webapp’s data.

mobile app development

The world is getting smaller 256

Coach Kelly is on Android 257

Don’t worry about Python 2 259

Set up your development environment 260

Configure the SDK and emulator 261

Install and configure Android Scripting 262

Add Python to your SL4A installation 263

Test Python on Android 264

Define your app’s requirements 266

The SL4A Android API 274

Select from a list on Android 278

The athlete’s data CGI script 281

The data appears to have changed type 284

JSON can’t handle your custom datatypes 285

Run your app on a real phone 288

Configure AndFTP 289

The coach is thrilled with his app 290

Your Python Toolbox 291

table of contents

xviii

Your athlete times app has gone national 294

Use a form or dialog to accept input 295

Create an HTML form template 296

The data is delivered to your CGI script 300

Ask for input on your Android phone 304

It’s time to update your server data 308

Avoid race conditions 309

You need a better data storage mechanism 310

Use a database management system 312

Python includes SQLite 313

Exploit Python’s database API 314

The database API as Python code 315

A little database design goes a long way 316

Define your database schema 317

What does the data look like? 318

Transfer the data from your pickle to SQLite 321

What ID is assigned to which athlete? 322

Insert your timing data 323

SQLite data management tools 326

Integrate SQLite with your existing webapp 327

You still need the list of names 332

Get an athlete’s details based on ID 333

You need to amend your Android app, too 342

Update your SQLite-based athlete data 348

The NUAC is over the moon! 349

Your Python Toolbox 350

Handling input

manage your data

The Web and your phone are not just great ways to display data.

They are also great tools to for accepting input from your users. Of course, once your

webapp accepts data, it needs to put it somewhere, and the choices you make when

deciding what and where this “somewhere” is are often the difference between a webapp

that’s easy to grow and extend and one that isn’t. In this chapter, you’ll extend your

webapp to accept data from the Web (via a browser or from an Android phone), as well

as look at and enhance your back-end data-management services.

剩余493页未读，继续阅读

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