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 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
Chapter-1: Python Basics
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 Python variables
1.14 Data types
1.15 Type Conversion
1.16 Literals
Chapter-2: Python Operators
2.1 Operators
2.2 Binary operators
2.3 String Operators
2.4 Operator Precedence
2.5 Expression Evaluation
2.6 input () function
2.7 Libraries
Chapter-3: Decision Making & Conditionals
3.1 Conditional statements
3.2 If statement
3.3 Nested -if -else statement
3.4 elif statement
3.5 while
3.6 for loop
3.7 Nested for loops
3.8 Nested while
3.9 Using else statement with for loop
3.10 The pass statement in for loop
3.11 The break statement
3.12 continue
3.13 while loop and the else branch
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
Chapter-5: Lists
5.1 Introduction
5.2 Characteristics of list
5.3 Decision making in lists
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
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
6.8 Nested Tuple
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 member ship operators
7.8 Set Predefined methods
7.9 Frozen set
7.10 Frozen set operations
7.11 Frozen set predefined operations
Chapter-8: Dictionary
8.1 Access the dictionary values
8.2 Dictionary functions and methods
8.3 Accessing the elements of the dictionary
8.4 Copying the dictionary
8.5 Nested Dictionary
8.6 Changing the dictionary values
8.7 Adding the elements to the dictionary
8.8 Removing the elements of the dictionary
8.9 Dictionary comprehension
8.10 Operators in Dictionary
Chapter-9: Modules and Packages
9.1 Python import statement
9.2 Namespace
9.3 Package
Chapter-10: Functions
10.1 Defining a function
10.2 Pass by reference
10.3 Function 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
Chapter-11: Date and Time
11.1 Time module
11.2 Calendar module
11.3 The datetime module
11.4 The pytz module
11.5 The dateutil module
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 Regular expression modifiers
12.6 The compile function
12.7 The findall() function
12.8 The split () function
12.9 The sub () function
12.10 The re.escape() function
Chapter-13: Classes and Objects
13.1 Creating classes
13.2 Object creation
13.3 Accessing attributes
13.4 Class method
13.5 Return from class
13.6 Constructors
13.7 Deleting Objects
13.8 Python built-in class functions
13.9 Built-in class attributes
13.10 Inner class
Chapter-14: Inheritance
14.1 Single Inheritance
14.2 Multiple Inheritance
14.3 Multilevel Inheritance
14.4 Overriding methods
14.5 Nested Class Inheritance
Chapter-15: Arrays
15.1 Byte array
15.2 NumPy
15.3 Reshaping arrays
15.4 Operations on Array
Chapter-16: Exception Handling
16.1 Exception handling in python
16.2 Single try multiple except statements
16.3 Single try single except with multiple exceptions statements
16.4 try-except-else
16.5 The try…finally block
16.6 Raising Exceptions
16.7 User defined exceptions
16.8 Constructors in Exception Handling
16.9 Exception and Inheritance
Chapter-17: Multi threading
17.1 Multiprocessing in python
17.2 Multi threading
17.3 Creating thread using threading module
17.4 Synchronizing the thread
17.5 Race Condition
17.6 Locks
17.7 Semaphore
Chapter-18: Method Overloading and Operator Overloading
18.1 Introduction
18.2 Method overloading
18.3 Operator Overloading
18.4 Overloading Arithmetic operators
18.5 Overloading Comparison Operators
18.6 Overloading Assignment operator
18.7 Overloading class Operators
18.8 Overloading the unary operators
18.9 Overloading of operators on Lists
18.10 Operator overloading on dictionaries
18.11 Eligible operators for operator overloading
Chapter-19: GUI Programming
19.1 Tkinter interface
19.2 Label
19.3 Button
19.4 Messagebox
19.5 Message
19.6 Entry
19.7 Checkbutton
19.8 Radiobutton
19.9 Listbox
19.10 Scale
19.11 Spinbox
19.12 Scrollbar
Chapter-20: File Handling
20.1 Opening a file
20.2 Writing to the files
20.3 Reading the files
20.4 The close() method
20.5 With statement
20.6 Appending to the files
20.7 File pointer positions
20.8 Modifying file pointer position
20.9 Renaming the file
20.10 Binary file
20.11 Random Access Files
Chapter-21: Database connectivity
21.1 Python with MYSQL
21.2 Python with oracle
21.3 Solved Examples
Chapter-22: CASE STUDY
22.1 Whats app analyser
22.2 Breast Cancer prediction
22.3 Stock price prediction
22.4 Chat Box
22.5 Parkinson detection
22.6 Face Mask
22.7 Covid-19 analysis
22.8 Time series forecasting
22.9 Fraud detection
Biography
Usharani Bhimavarapu is working as an Assistant Professor in the Computer Science and Engineering Department at Koneru Lakshmaiah Education Foundation at Vaddeswaram, Andhra Pradesh, India. She has been teaching from last 14 years with emphasis on Data Mining, Machine Learning, and Data Structure. She communicated more than 40 research papers in SCI, SCIE, Scopus indexed Journals. She has authored 12 books in programming languages like CPP, Java, Python, HTML,CSS and so on.
Dr. Jude D. Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. His research areas include Computational Intelligence and Image processing. He has authored more than 230 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences. His Cumulative Impact Factor is more than 350. He has published 37 edited books with reputed publishers such as Elsevier, Springer and IET.
