This book presents an intuitive approach to the concepts of Python Programming for
students. It is appropriate for courses generally known as “Introduction to Python
Programming.” We have tried to write a book that assists students in discovering the
power of Python programming. We have taken into account the reality that students taking
“Introduction to Python Programming” course are likely to come from a variety of disciplines.
In addition to Computer Science majors, there tend to be students from other
majors like other engineering streams, physics, chemistry, biology, environmental science,
geography, economics, psychology and business.
This book differs from traditional texts not only in its philosophy but also in its overall
focus, level of activities, development of topics, and attention to programming details. The
emphasis is on understanding Python programming concepts. Reading a programming
book is different from reading a newspaper or a novel. Don’t be discouraged if you have
to read a passage more than once in order to understand it. We recommend that you keep
this book for reference purposes after you finish working through the course. Because
you will likely forget some of the specific details of Python programming language, the
book will serve as a useful reminder. Students will appreciate the many programming
examples within the text. Programs are carefully selected to bring the theoretical concepts
to fruition. Our aim is to get the reader to productivity as quickly as possible without sacrificing
the overall flow quality.
In fact, if you are a novice programmer, with some dedication and hard work you should
be able to learn Python Programming as your first programming language. As we introduce
each new feature of the language, we usually provide a complete program as an
example to illustrate the feature. Just as a picture is worth a thousand words, so is a properly
chosen programming example. We present the material in a way to encourage student
thinking and we show students how to generalize key concepts once they are introduced,
which can be used to solve real-world problems. Programming questions that accompany
the end of each chapter are based on worked examples which help students to gain solid
knowledge of the basics and assess their own level of understanding before moving on.
Students are highly encouraged to solve these programs to gain a solid hold on Python
programming language.
This book takes you through step by step process of learning the Python programming
language. Each line of the code is marked with numbers and is explained in detail. In this
book all the names of variables, strings, lists, dictionaries, tuples, functions, methods and
classes consist of several natural words and in the explanation part they are written in
italics to indicate the readers that they are part of programming code and to distinguish
them from normal words. This programming style of using readable natural names makes
the reading of code lot easier and prevents programming errors. Learning outcome component
is mentioned at the beginning of each chapter that calls the attention of the readers
to important items in the chapter. A summary of important concepts appears at the end
of each chapter.
We hope that students using the book will come away with an appreciation of the beauty,
power, and tremendous utility of Python programming language and that they will have
fun along the way.
Author(s): Gowrishankar S., Veena A.
Publisher: CRC
Year: 2019
Language: English
Commentary: True PDF
Pages: 465
Cover......Page 1
Half Title......Page 2
Title Page......Page 4
Copyright Page......Page 5
Dedication......Page 6
Table of Contents......Page 8
Preface......Page 14
Acknowledgment......Page 18
Authors......Page 20
1.1 What Is a Program?......Page 22
1.2.1 Machine Language......Page 23
1.2.3 High-Level Language......Page 24
1.3 Software Development......Page 26
1.4 History of Python Programming Language......Page 28
1.5 Thrust Areas of Python......Page 29
1.5.1 Academia......Page 30
1.5.5 Data Analysis......Page 31
1.5.10 Cloud Computing......Page 32
1.5.14 Python Stack in Industry......Page 33
1.6 Installing Anaconda Python Distribution......Page 34
1.7 Installing PyCharm IDE to Set Up a Python Development Environment......Page 37
1.8 Creating and Running Your First Python Project......Page 40
1.9 Installing and Using Jupyter Notebook......Page 44
1.9.1 Starting Jupyter Notebook......Page 45
1.10 Open Source Software......Page 48
1.10.1 Why Do People Prefer Using Open Source Software?......Page 49
1.10.3 Open Source Licenses......Page 50
Multiple Choice Questions......Page 53
Review Questions......Page 55
2.1 Identifiers......Page 56
2.3 Statements and Expressions......Page 57
2.4.2 Assigning Values to Variables......Page 58
2.5 Operators......Page 59
2.5.1 Arithmetic Operators......Page 60
2.5.2 Assignment Operators......Page 61
2.5.3 Comparison Operators......Page 63
2.5.4 Logical Operators......Page 64
2.5.5 Bitwise Operators......Page 65
2.6 Precedence and Associativity......Page 68
2.7.3 Strings......Page 69
2.8 Indentation......Page 70
2.10 Reading Input......Page 71
2.11.1 str.format() Method......Page 72
2.11.2 f-strings......Page 74
2.12.1 The int() Function......Page 75
2.12.3 The str() Function......Page 76
2.12.5 The complex() Function......Page 77
2.12.8 The oct() Function......Page 78
2.14 Dynamic and Strongly Typed Language......Page 79
2.15 Summary......Page 80
Multiple Choice Questions......Page 81
Review Questions......Page 86
3: Control Flow Statements......Page 88
3.1 The if Decision Control Flow Statement......Page 89
3.2 The if…else Decision Control Flow Statement......Page 90
3.3 The if…elif…else Decision Control Statement......Page 92
3.4 Nested if Statement......Page 94
3.5 The while Loop......Page 95
3.6 The for Loop......Page 100
3.7 The continue and break Statements......Page 102
3.8.2 Exceptions......Page 105
3.8.3 Exception Handling Using try…except…finally......Page 106
3.9 Summary......Page 110
Multiple Choice Questions......Page 111
Review Questions......Page 114
4.1 Built-In Functions......Page 116
4.2 Commonly Used Modules......Page 118
4.3 Function Definition and Calling the Function......Page 120
4.4 The return Statement and void Function......Page 124
4.5 Scope and Lifetime of Variables......Page 127
4.6 Default Parameters......Page 129
4.7 Keyword Arguments......Page 130
4.8 *args and **kwargs......Page 131
4.9 Command Line Arguments......Page 133
Multiple Choice Questions......Page 134
Review Questions......Page 138
5.1 Creating and Storing Strings......Page 140
5.2 Basic String Operations......Page 141
5.2.2 Built-In Functions Used on Strings......Page 143
5.3 Accessing Characters in String by Index Number......Page 144
5.4 String Slicing and Joining......Page 145
5.4.1 Specifying Steps in Slice Operation......Page 147
5.4.3 Split Strings Using split() Method......Page 148
5.4.5 String Traversing......Page 149
5.5 String Methods......Page 152
5.6 Formatting Strings......Page 159
5.6.1 Format Specifiers......Page 161
5.6.2 Escape Sequences......Page 162
5.6.4 Unicodes......Page 163
Multiple Choice Questions......Page 164
Review Questions......Page 167
6.1 Creating Lists......Page 170
6.2.1 The list() Function......Page 172
6.3 Indexing and Slicing in Lists......Page 173
6.3.1 Modifying Items in Lists......Page 174
6.4 Built-In Functions Used on Lists......Page 176
6.5 List Methods......Page 177
6.5.1 Populating Lists with Items......Page 179
6.5.2 Traversing of Lists......Page 180
6.5.3 Nested Lists......Page 188
6.6 The del Statement......Page 190
Multiple-Choice Questions......Page 191
Review Questions......Page 194
7.1 Creating Dictionary......Page 196
7.2 Accessing and Modifying key:value Pairs in Dictionaries......Page 199
7.3 Built-In Functions Used on Dictionaries......Page 200
7.4 Dictionary Methods......Page 202
7.4.1 Populating Dictionaries with key:value Pairs......Page 204
7.4.2 Traversing of Dictionary......Page 206
Multiple Choice Questions......Page 214
Review Questions......Page 219
8.1 Creating Tuples......Page 222
8.2 Basic Tuple Operations......Page 224
8.2.1 The tuple() Function......Page 225
8.3 Indexing and Slicing in Tuples......Page 226
8.4 Built-In Functions Used on Tuples......Page 228
8.5 Relation between Tuples and Lists......Page 229
8.6 Relation between Tuples and Dictionaries......Page 230
8.7 Tuple Methods......Page 231
8.7.2 Traversing of Tuples......Page 232
8.7.3 Populating Tuples with Items......Page 233
8.9 Sets......Page 237
8.10 Set Methods......Page 239
8.10.1 Traversing of Sets......Page 240
8.11 Frozenset......Page 242
Multiple Choice Questions......Page 243
Review Questions......Page 248
9: Files......Page 250
9.1 Types of Files......Page 251
9.1.1 File Paths......Page 252
9.1.2 Fully Qualified Path and Relative Path......Page 253
9.2.1 Creating and Opening Text Files......Page 254
9.2.2 File close() Method......Page 256
9.2.3 Use of with Statements to Open and Close Files......Page 258
9.3 File Methods to Read and Write Data......Page 260
9.4 Reading and Writing Binary Files......Page 268
9.5 The Pickle Module......Page 270
9.6 Reading and Writing CSV Files......Page 272
9.7 Python os and os.path Modules......Page 278
9.8 Summary......Page 282
Multiple Choice Questions......Page 283
Review Questions......Page 286
10.1 Using Special Characters......Page 288
10.1.2 Using Parentheses in Regular Expressions......Page 293
10.2.1 Compiling Regular Expressions Using compile() Method of re Module......Page 294
10.2.2 Match Objects......Page 295
10.4 Regular Expression with glob Module......Page 303
Multiple Choice Questions......Page 305
Review Questions......Page 308
11.1 Classes and Objects......Page 310
11.2 Creating Classes in Python......Page 312
11.3 Creating Objects in Python......Page 314
11.4 The Constructor Method......Page 315
11.5 Classes with Multiple Objects......Page 318
11.5.1 Using Objects as Arguments......Page 322
11.5.2 Objects as Return Values......Page 324
11.6 Class Attributes versus Data Attributes......Page 327
11.7 Encapsulation......Page 328
11.7.1 Using Private Instance Variables and Methods......Page 330
11.8 Inheritance......Page 332
11.8.1 Accessing the Inherited Variables and Methods......Page 333
11.8.2 Using super() Function and Overriding Base Class Methods......Page 335
11.8.3 Multiple Inheritances......Page 338
11.8.4 Method Resolution Order (MRO)......Page 341
11.9 The Polymorphism......Page 349
11.9.1 Operator Overloading and Magic Methods......Page 352
11.10 Summary......Page 356
Multiple Choice Questions......Page 357
Review Questions......Page 359
12.1.1 Lambda......Page 362
12.1.2 Iterators......Page 363
12.1.3 Generators......Page 364
12.1.4 List Comprehensions......Page 365
12.2 JSON and XML in Python......Page 367
12.2.1 Using JSON with Python......Page 368
12.2.2 Using Requests Module......Page 374
12.2.3 Using XML with Python......Page 376
12.3 NumPy with Python......Page 380
12.3.1 NumPy Arrays Creation Using array() Function......Page 381
12.3.2 Array Attributes......Page 382
12.3.3 NumPy Arrays Creation with Initial Placeholder Content......Page 383
12.3.4 Integer Indexing, Array Indexing, Boolean Array Indexing, Slicing and Iterating in Arrays......Page 385
12.3.5 Basic Arithmetic Operations on NumPy Arrays......Page 388
12.3.6 Mathematical Functions in NumPy......Page 389
12.3.7 Changing the Shape of an Array......Page 390
12.3.8 Stacking and Splitting of Arrays......Page 391
12.3.9 Broadcasting in Arrays......Page 392
12.4 Pandas......Page 395
12.4.1 Pandas Series......Page 396
12.4.2 Pandas DataFrame......Page 401
12.5 Altair......Page 419
12.6 Summary......Page 430
Multiple Choice Questions......Page 431
Review Questions......Page 434
Appendix-A: Debugging Python Code......Page 436
Bibliography......Page 446
Solutions......Page 448
Index......Page 458
