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3 Python Programming Books Completely Free

  1. Drive Into Python – Written by Mark Pilgrim
  2. Learning Python – Written by Fabrizio Romano
  3. Python Cook Book – Written by Sebastian

Drive Into Python Programming

Download Drive Into Python 328 Pages Book

This Book Contains below topics

 Topic Name Page Number
 Installing Python 2
Which Python is right for you? 2
Python on Windows 2
Python on Mac OS X 3
Python on Mac OS 5
Python on RedHat Linux 5
Python on Debian GNU/Linux 6
Python Installation from Source 6
The Interactive Shell 7
Summary 8
Your First Python Program 9
Diving in 9
Declaring Functions 9
Documenting Functions 10
Everything Is an Object 11
Indenting Code 13
Testing Modules 14
Native Datatypes 15
Introducing Dictionaries 15
Introducing Lists 17
Introducing Tuples 22
Declaring variables 23
Formatting Strings 25
Mapping Lists 26
Joining Lists and Splitting Strings 28
Summary 29
The Power Of Introspection 31
Diving In 31
Using Optional and Named Arguments 32
Using type, str, dir, and Other Built−In Functions 33
Getting Object References With getattr 36
Filtering Lists 38
The Peculiar Nature of and and or 39
Using lambda Functions 41
Putting It All Together 43
Summary 45
Objects and Object−Orientation 47
Diving In 47
Importing Modules Using from module import 49
Defining Classes 50
Instantiating Classes 53
Exploring UserDict: A Wrapper Class 54
Special Class Methods 56
Advanced Special Class Methods 59
 Objects and Object−Orientation
Introducing Class Attributes 60
Private Functions 62
Summary 63
Exceptions and File Handling 64
Handling Exceptions 64
Working with File Objects 66
Iterating with for Loops 70
Using sys modules 72
Working with Directories 74
Putting It All Together 77
Summary 78
 Regular Expressions 81
Diving In 81
Case Study: Street Addresses 81
Case Study: Roman Numerals 83
Using the {n,m} Syntax 85
Verbose Regular Expressions 88
Case study: Parsing Phone Numbers 89
Summary 93
 HTML Processing 94
Diving in 94
Introducing sgmllib py 98
Extracting data from HTML documents 100
Introducing BaseHTMLProcessor py 102
locals and globals 104
Dictionary−based string formatting 107
Quoting attribute values 108
Introducing dialect py 109
Putting it all together 111
Summary 113
 XML Processing 115
Diving in 115
Packages 121
Parsing XML 123
Unicode 125
Searching for elements 129
Accessing element attributes 131
Segue 132
Scripts and Streams 133
Abstracting input sources 133
Standard input, output, and error 136
Caching node lookups 140
Finding direct children of a node 141
Creating separate handlers by node type 141
ter    Scripts and Streams
Handling command−line arguments 143
Putting it all together 146
Summary 148
HTTP Web Services 149
Diving in 149
How not to fetch data over HTTP 151
Features of HTTP 152
Debugging HTTP web services 153
Setting the User−Agent 155
Handling Last−Modified and ETag 156
Handling redirects 159
Handling compressed data 163
Putting it all together 165
  Summary 167
 SOAP Web Service 168
Diving In 168
Installing the SOAP Libraries 169
First Steps with SOAP 171
Debugging SOAP Web Services1 172
Introducing WSDL 173
Introspecting SOAP Web Services2 with WSDL 174
Searching Google 176
Troubleshooting SOAP Web Services3 179
Summary 182
 Unit Testing 183
Introduction to Roman numerals 183
Diving in 184
Introducing romantest py 184
Testing for success 187
Testing for failure 189
Testing for sanity 190
 Test−First Programming 193
roman py, stage1 193
roman py, stage2 196
roman py, stage3 199
roman py, stage4 202
roman py, stage5 205
 Refactoring 208
Handling bugs 208
Handling changing requirements 210
Refactoring 216
Postscript 219
Summary 221
 Functional Programming 223
Diving in 223
Finding the path 224
Filtering lists revisited 226
Mapping lists revisited 228
Data−centric programming 229
Dynamically importing modules 230
Putting it all together1 231
Summary 234
 Dynamic functions 235
Diving in 235
plural py, stage1 235
plural py, stage2 237
plural py, stage3 239
plural py, stage4 240
plural py, stage5 242
plural py, stage6 243
Summary 246
Performance Tuning 247
Diving in 247
Using the timeit Module 249
Optimizing Regular Expressions 250
Optimizing Dictionary Lookups 253
Optimizing List Operations 256
Optimizing String Manipulation 258
Summary 260
Further reading 261
A  −minute review 268
Tips and tricks 282
List of examples 289
Revision history 302
About the book 314
GNU Free Documentation License 315
Preamble 315
Applicability and definitions 315
Verbatim copying 316
Copying in quantity 316
Modifications 317
Combining documents 318
Collections of documents 318
Aggregation with independent works 318
 GNU Free Documentation License
Translation 318
Termination 319
Future revisions of this license 319
How to use this License for your documents 319
Python license 320
History of the software 320
Terms and conditions for accessing or otherwise using Python 320

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Learning Python Programming

Chapter1 Index from Learning Python Programming Book Download Book Free

Chapter 1: Introduction and First Steps – Take a Deep Breath 1 1
A proper introduction 2 2
Enter the Python 4 4
About Python 5 5
Portability 5 5
Coherence 5 5
Developer productivity 6 6
An extensive library 6 6
Software quality 6 6
Software integration 6 6
Satisfaction and enjoyment 7 7
What are the drawbacks? 7 7
Who is using Python today? 8 8
Setting up the environment 8 8
Python 2 versus Python 3 – the great debate 8 8
Installing Python 9 9
Setting up the Python interpreter 10 10
About virtualenv 12 12
Your first virtual environment 14 14
Your friend, the console 17 17
How you can run a Python program 17 17
Running Python scripts 18 18
Running the Python interactive shell 18 18
Running Python as a service 20 20
Running Python as a GUI application 20 20
How is Python code organized 21 21
How do we use modules and packages 22 22
Python’s execution model 25 25
Names and namespaces 25 25
Scopes 27 27
Object and classes 30 30
Guidelines on how to write good code 33 33
The Python culture 34 34
A note on the IDEs 35 35
Summary 36 36
Chapter 2: Built-in Data Types 37 37
Everything is an object 37 37
Mutable or immutable? That is the question 38 38

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Python Programming Cook Book

88 Pages of Book Excellent and it has so many real time python scripts to process .csv Data

Python Cook Book Content

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