Laura Cassell, Alan Gauld

Python Projects

• Broschiertes Buch

Produktbeschreibung

A guide to completing Python projects for those ready to take their skills to the next level

Python Projects is the ultimate resource for the Python programmer with basic skills who is ready to move beyond tutorials and start building projects.

The preeminent guide to bridge the gap between learning and doing, this book walks readers through the "where" and "how" of real-world Python programming with practical, actionable instruction. With a focus on real-world functionality, Python Projects details the ways that Python can be used to complete daily tasks and bring efficiency to businesses and individuals alike.

Python Projects is written specifically for those who know the Python syntax and lay of the land, but may still be intimidated by larger, more complex projects. The book provides a walk-through of the basic set-up for an application and the building and packaging for a library, and explains in detail the functionalities related to the projects. Topics include:

How to maximize the power of the standard library modules
Where to get third party libraries, and the best practices for utilization
Creating, packaging, and reusing libraries within and across projects
Building multi-layered functionality including networks, data, and user interfaces
Setting up development environments and using virtualenv, pip, and more

Written by veteran Python trainers, the book is structured for easy navigation and logical progression that makes it ideal for individual, classroom, or corporate training.

For Python developers looking to apply their skills to real-world challenges, Python Projects is a goldmine of information and expert insight.

Produktdetails

• Verlag: Wiley & Sons
• Artikelnr. des Verlages: 1W118908660
• 1. Auflage
• Seitenzahl: 384
• Erscheinungstermin: 1. November 2014
• Englisch
• Abmessung: 235mm x 191mm x 21mm
• Gewicht: 642g
• ISBN-13: 9781118908662
• ISBN-10: 111890866X
• Artikelnr.: 41195214

Autorenporträt

Laura Cassell is the founder of PyLadies Atlanta. She taught Python and JavaScript for Big Nerd Ranch, and is now an engineering manager for the Python team at New Relic. Alan Gauld is an enterprise architect working in the telecommunications and customer service industries. He has used Python since 1998, and is a moderator and active participant in the python-tutor mailing list. Wrox guides are crafted to make learning programming languages and technologies easier than you think. Written by programmers for programmers, they provide a structured, tutorial format that will guide you through all the techniques involved.

Inhaltsangabe

INTRODUCTION xxv CHAPTER 1: REVIEWING CORE PYTHON 1 Exploring the Python
Language and the Interpreter 2 Reviewing the Python Data Types 3 Numeric
Types: Integer and Float 4 The Boolean Type 5 The None Type 6 Collection
Types 6 Strings 7 Bytes and ByteArrays 8 Tuples 10 Lists 10 Dictionaries 12
Sets 13 Using Python Control Structures 15 Structuring Your Program 15
Using Sequences, Blocks and Comments 16 Selecting an Execution Path 17
Iteration 18 Handling Exceptions 20 Managing Context 21 Getting Data In and
Out of Python 21 Interacting with Users 21 Using Text Files 23 Extending
Python 24 Defining and Using Functions 24 Generator Functions 26 Lambda
Functions 27 Defining and Using Classes and Objects 28 Creating and Using
Modules and Packages 33 Using and Creating Modules 33 Using and Creating
Packages 34 Creating an Example Package 36 Using Third?]Party Packages 42
Summary 43 CHAPTER 2: SCRIPTING WITH PYTHON 47 Accessing the Operating
System 48 Obtaining Information About Users and Their Computer 49 Obtaining
Information About the Current Process 53 Managing Other Programs 55
Managing Subprocesses More Effectively 58 Obtaining Information About Files
(and Devices) 60 Navigating and Manipulating the File system 62 Plumbing
the Directory Tree Depths 69 Working with Dates and Times 72 Using the time
Module 72 Introducing the datetime Module 75 Introducing the calendar
Module 76 Handling Common File Formats 76 Using Comma?]Separated Values 76
Working with Confi g Files 83 Working with XML and HTML Files 86 Parsing
XML Files 86 Parsing HTML Files 89 Accessing Native APIs with ctypes and
pywin32 93 Accessing the Operating System Libraries 94 Using ctypes with
Windows 95 Using ctypes on Linux 96 Accessing a Windows Application Using
COM 96 Automating Tasks Involving Multiple Applications 98 Using Python
First 98 Using Operating System Utilities 98 Using Data Files 98 Using a
Third?]Party Module 99 Interacting with Subprocesses via a CLI 99 Using Web
Services for Server?]Based Applications 99 Using a Native Code API 100
Using GUI Robotics 100 Summary 100 CHAPTER 3: MANAGING DATA 103 Storing
Data Using Python 104 Using DBM as a Persistent Dictionary 104 Using Pickle
to Store and Retrieve Objects 109 Accessing Objects with shelve 111
Analyzing Data with Python 116 Analyzing Data Using Built?]In Features of
Python 116 Analyzing Data with ittertools 119 Utility Functions 119 Data
Processing Functions 121 Taming the Vagaries of groupby() 122 Using
itertools to Analyze LendyDB Data 124 Managing Data Using SQL 125
Relational Database Concepts 126 Structured Query Language 127 Creating
Tables 128 Inserting Data 129 Reading Data 130 Modifying Data 133 Linking
Data Across Tables 134 Digging Deeper into Data Constraints 134 Revisiting
SQLite Field Types 135 Modeling Relationships with Constraints 136
Many?]to?]Many Relationships 140 Migrating LendyDB to an SQL Database 143
Accessing SQL from Python 143 Using SQL Connections 143 Using a Cursor 143
Creating the LendyDB SQL Database 145 Inserting Test Data 146 Creating a
LendyDB API 148 Exploring Other Data Management Options 154 Client?]Server
Databases 154 NoSQL 155 The Cloud 155 Data Analysis with RPy 156 Summary
157 CHAPTER 4: BUILDING DESKTOP APPLICATIONS 161 Structuring Applications
162 Building Command-Line Interfaces 164 Building the Data Layer 164
Building the Core Logic Layer 165 Building the User Interface 169 Using the
cmd Module to Build a Command-Line Interface 173 Reading Command-Line
Arguments 175 Jazzing Up the Command-Line Interface with Some Dialogs 177
Programming GUIs with Tkinter 181 Introducing Key GUI Principles 181
Event?]Based Programming 181 GUI Terminology 182 The Containment Tree 183
Building a Simple GUI 184 Building a Tic?]Tac?]Toe GUI 186 Sketching a UI
Design 186 Building Menus 187 Building a Tic?]Tac?]Toe Board 188 Connecting
the GUI to the Game 190 Extending Tkinter 194 Using Tix 194 Using ttk 198
Revisiting the Lending Library 199 Exploring Other GUI Toolkits for Python
206 wxPython 207 PyQt 207 PyGTK 208 Native GUIs: Cocoa and PyWin32 209 Dabo
209 Storing Local Data 210 Storing Application?]Specifi c Data 210 Storing
User?]Selected Preferences 211 Storing Application State 212 Logging Error
information 212 Understanding Localization 214 Using Locales 214 Using
Unicode in Python 216 Using gettext 218 Summary 220 CHAPTER 5: PYTHON ON
THE WEB 223 Python on the Web 224 Parts of a Web Application 225 The
Client?]Server Relationship 226 Middleware and MVC 226 HTTP Methods and
Headers 227 What Is an API? 230 Web Programming with Python 235 Using the
Python HTTP Modules 235 Creating an HTTP Server 235 Exploring the Flask
Framework 237 Creating Data Models in Flask 238 Creating Core Flask Files
239 More on Python and the Web 247 Static Site Generators 248 Web
Frameworks 248 Using Python Across the Wire 248 XML?]RPC 249 Socket Servers
250 More Networking Fun in Python 253 Summary 254 CHAPTER 6: PYTHON IN
BIGGER PROJECTS 257 Testing with the Doctest Module 258 Testing with the
Unittest Module 262 Test?]Driven Development in Python 267 Debugging Your
Python Code 267 Handling Exceptions in Python 272 Working on Larger Python
Projects 276 Releasing Python Packages 280 Summary 282 CHAPTER 7: EXPLORING
PYTHON'S FRONTIERS 285 Drawing Pictures with Python 286 Using Turtle
Graphics 286 Using GUI Canvas Objects 286 Plotting Data 287 Using imghdr
287 Introducing Pillow 287 Trying Out ImageMagick 287 Doing Science with
Python 288 Introducing SciPy 288 Doing Bioscience with Python 290 Using GIS
290 Watching Your Language 290 Getting It All 290 Playing Games with Python
291 Enriching the Experience with PyGame 291 Exploring Other Options 291
Going to the Movies 292 The Computer Graphics Kit 292 Modeling and
Animation 292 Photo Processing 292 Working with Audio 293 Integrating with
Other Languages 293 Jython 293 IronPython 294 Cython 294 Tcl/Tk 295 Getting
Physical 296 Introducing Serial Options 296 Programming the RaspberryPi 296
Talking to the Arduino 297 Exploring Other Options 297 Building Python 298
Fixing Bugs 298 Documenting 298 Testing 299 Adding Features 299 Attending
Conferences 299 Summary 299 APPENDIX A: ANSWERS TO EXERCISES 303 Chapter 1
Solutions 303 Chapter 2 Solutions 305 Chapter 3 Solutions 306 Chapter 4
Solutions 311 Chapter 5 Solutions 315 Chapter 6 Solutions 316 Chapter 7
Solutions 317 APPENDIX B: PYTHON STANDARD MODULES 319 APPENDIX C: USEFUL
PYTHON RESOURCES 327 Asking Questions: Mailing Lists and More 327 Reading
Blogs 328 Studying Tutorials and References 328 Watching Videos 329 And Now
for Something Completely Different... 329 REFERENCES 331 INDEX 333