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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

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