Volume 1 of Learning Professional Python is a resource for students who want to learn Python even if they don’t have any programming knowledge and for teachers who want a comprehensive introduction to Python to use with their students. This book helps the students achieve their dream job in the IT Industry and teaches the students in an easy, understandable manner while strengthening coding skills. Learning Professional Python: Volume 1 Objectives, • Become familiar with the features of Python programming language, • Introduce the object-oriented programming concepts, • Discover how to write Python code by following the object-oriented programming concepts, • Become comfortable with concepts such as classes, objects, inheritance, dynamic dispatch, interfaces, and packages, • Learn the Python generics and collections, • Develop exception handling and the multithreaded applications, • Design graphical user interface (GUI) applications
Author(s): Usharani Bhimavarapu, Jude D. Hemanth
Publisher: CRC Press LLC
Year: 2024
Language: English
Pages: 270
1.1 History of Python
1.2 Advantages of Python
1.3 Characteristics of Python
1.4 Applications of Python
1.5 Python Versions
1.6 Python Identifiers
1.7 Reserved Words
1.8 Print () Function
1.9 Lines and Indentation
1.10 Multiline Statements
1.11 Quotation in Python
1.12 Comments in Python
1.13 Multiple Statements on a Single Line
1.14 Python Variables
1.15 Naming Conventions to Variables
1.16 Assigning Values to Variables
1.17 Multiple Assignment
1.18 None Variable
1.19 Data Types
1.20 Type Conversion
1.20.1 Implicit Conversion
1.20.2 Explicit Conversion
1.21 Literals
1.22 Binary Number System
Exercise
Chapter 2 ◾ Python Operators
2.1 Operators Introduction
2.1.1 Unary Operators
2.1.2 Binary Operator
2.1.3 Ternary Operator
2.2 Binary Operators
2.2.1 Arithmetic Operators
2.2.2 Shortened Operators
2.3 String Operators
2.4 Operator Precedence
2.5 Expression Evaluation
2.6 Input () Function
2.7 Libraries
2.7.1 Math and CMath Libraries
2.7.2 SciPy Library
Exercise
Chapter 3 ◾ Decision-Making and Conditionals
3.1 Introduction
3.2 If Statement
3.3 If-Else Statement
3.4 Nested-If-Else Statement
3.5 Elif Statement
3.6 While
3.7 For Loop
3.8 Nested For Loops
3.9 Nested While
3.10 Using Else Statement with For Loop
3.11 The Pass Statement in For Loop
3.12 Break Statement
3.13 Continue
3.14 While Loop and the Else Branch
Exercise
Chapter 4 ◾ Strings
4.1 String Creation
4.2 Accessing Values to a String
4.3 Modify Existing String
4.4 Escape Characters
4.5 String Special Characters
4.6 String Formatting Operator
4.7 Triple Quotes
4.8 Unicode Strings
4.9 Built-In String Methods
4.10 Deleting String
Exercise
Chapter 5 ◾ Lists
5.1 Introduction
5.2 Characteristics of Lists
5.3 Decision-Making in Lists
5.3.1 Range
5.4 Accessing Values in the List
5.5 Updating List
5.6 Delete List Elements
5.7 Sorting
5.8 Copying
5.9 Operators on Lists
5.10 Indexing, Slicing
5.11 Searching in List
5.12 Nested List
5.13 List Comprehension
5.14 Matrix Representation
Exercise
Chapter 6 ◾ Tuple
6.1 Tuple Creation
6.2 Accessing Values in Tuples
6.3 Updating Tuples
6.4 Delete Tuple Elements
6.5 Operations on Tuples
6.6 Unpacking of Tuples
6.7 Indexing, Slicing on Tuples
Exercise
Chapter 7 ◾ Sets
7.1 Introduction
7.2 Access Set Elements
7.3 Adding Elements to the Set
7.4 Remove an Element from the Set
7.5 Delete the Set
7.6 Python Set Operations
7.7 Set Membership Operators
7.8 Set Predefined Methods
7.9 Frozen Set
7.10 Frozen Set Operations
7.11 Frozen Set Predefined Operations
Exercise
Chapter 8 ◾ Dictionary
8.1 Accessing the Elements of the Dictionary
8.2 Copying the Dictionary
8.3 Nested Dictionary
8.4 Changing the Dictionary Values
8.5 Adding the Elements to the Dictionary
8.6 Removing the Elements of the Dictionary
8.7 Dictionary Comprehension
8.8 Operators in Dictionary
Exercise
Chapter 9 ◾ Modules and Packages
9.1 Python Import Statement
9.2 Python from … Import Statement
9.3 Package
Exercise
Chapter 10 ◾ Functions
10.1 Defining a Function
10.2 Pass by Reference
10.3 Function Arguments
10.3.1 Required Arguments
10.3.2 Keyword Arguments
10.3.3 Default Arguments
10.3.4 Variable Length Arguments
10.4 Anonymous Functions
10.5 Return Statement
10.6 Function Variable Scope
10.7 Passing List to Function
10.8 Returning List from the Function
10.9 Recursion
Exercise
Chapter 11 ◾ Date and Time
11.1 Time Module
11.2 Calendar
11.3 Time Module
11.4 Calendar Module
11.5 The Datetime Module
11.6 The Pytz Module
11.7 The Dateutil Module
Exercise
Chapter 12 ◾ Regular Expression
12.1 The Re Module
12.2 Python Match Function
12.3 The Search Functions
12.4 Python Match Function vs Search Function
12.5 The Compile Function
12.6 The Findall () Function
12.7 The Split () Function
12.8 The Sub () Function
12.9 The Re.escape () Function
Exercise
Index
