Beschreibung
Produktdetails
Einband
Gebundene Ausgabe
Verlag
New India Publishing Agency - NIPASeitenzahl
220
Maße (B/H)
15,2/22,9 cm
Gewicht
545 g
Sprache
Englisch
ISBN
978-93-91383-63-3
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.
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.
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