Basic and Advance: Python Programming

authored by: Agya Ram Verma, Yatendra Kumar & Sag Ram Verma
ISBN: 9789391383633 | Binding: Hardback | Pages: 220 | Language: English | Year of Publishing: 2023
Length: 152 mm | Breadth: 20 mm | Height: 229 mm | Imprint: NIPA | Weight: 545 GMS
INR 2,195.00 INR 1,976.00
 
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Keywords

Python basics, Advanced Python concepts, Python programming fundamentals, Python syntax, Data types in Python, Control flow in Python, Functions and modules in Python, Object-oriented programming in Python, Exception handling in Python, File handling in Python, Python libraries, Python data structures, Python algorithms, Python debugging, Python testing, Decorators in Python, Generators in Python, Lambda functions in Python, List comprehensions in Python, Python virtual environments, Web scraping with Python, GUI programming in Python, Database interaction with Python, Python concurrency, Python best practices

The book in question presents an overview of the Python programming language, which is designed for both novice and experienced programmers who wish to enhance their abilities by learning Python. The first eight chapters of the book cover the fundamentals of Python programming and should be studied in sequence. The following chapters then delve into the application of Python in specific areas, such as web development, databases, and networking, and can be read in any order.

Chapter 1 introduces a variety of foundational topics related to Python programming, while Chapter 2 defines Python operators. Chapter 3 expounds on looping statements, and Chapter 4 delves into Python functions. Chapter 5 deals with string manipulation, and Chapter 6 discusses lists in Python programming. Chapter 7 focuses on tuples in Python programming, and Chapter 8 explores dictionaries in Python programming. Chapter 9 delves into NumPy in Python programming, while Chapter 10 explores lambda functions. Chapter 11 and 12 focus on Pandas in Python programming, with Chapter 12 providing an overview of its functionality and Chapter 13 delving into statistical functions. Chapter 14 covers Pandas visualization, and Chapter 15 explores data visualization in Python programming. Chapter 16 introduces object-oriented programming, and Chapter 17 and 18 delve into modules and Python libraries, respectively. Chapter 19 covers Turtle Graphics in Python programming, and Chapter 20 provides a brief tour of the standard library.

1. Basic Concept of Python Programming, 2. Python Operators, 3. Looping Statement,4. Function in Python Programming, 5. String in Python Programming,6. List in Python Programming, 7. Tuple in Python Programming,8. Dictionary in Python Programming, 9. Numpy in Python Programming,10. Lambda Function in Python Programming, 11. Pandas in Python Programming, 12. Python Pandas Basic Functionality, 13. Python Pandas Statistical Functions,14. Python Pandas Visualization, 15. Data Visualization,16. Object Oriented Programming in Python, 17. Modules in Python Programming,18. Python Library, 19. Turtle Graphics, 20. Brief Tour of the Standard Library.

 
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