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Python Programming: A Comprehensive Beginner's Guide with 200 Practice Exercises: Mastering Python Fundamentals: A Hands-On Guide to Boost Your Coding Skills
Python A Comprehensive Beginner's Guide with 200 Practice Exercises
Look no further! "Python A Comprehensive Beginner's Guide with 200 Practice Exercises" is the ultimate resource to take you from novice to proficient Python programmer.
Step-by-Step Learning: Start with the basics and progress to advanced topics with clear, concise explanations and examples.
Hands-On Practice: 200 practice exercises tailored to solidify your understanding of Python concepts.
Comprehensive Coverage: From basic syntax to advanced topics like decorators and concurrency, this book covers it all.
Real-World Applications: Solve comprehensive exercises that integrate multiple concepts to tackle real-world problems.
Easy to Follow: Designed for beginners with a focus on practical applications and easy-to-understand language.
1: Introduction to Python: Discover Python's history, key features, and installation process.
2: Basic Syntax: Learn about variables, data types, and basic operators.
3: Operators and Expressions: Master arithmetic, comparison, logical, and bitwise operators.
4: Conditional Statements: Control the flow of your program with if, elif, and else statements.
5: Loops: Repeat actions with for and while loops, including break and continue.
6: Control Flow Tools: Explore additional tools like pass, else with loops, and the match statement.
7: Lists: Create and manipulate lists, and use list comprehensions.
8: Tuples: Understand tuples and their immutability.
9: Dictionaries: Work with key-value pairs and common dictionary methods.
10: Sets: Learn about sets and their operations.
11: Defining Functions: Define functions, use parameters, and return values.
12: Scope and Lifetime: Understand variable scope and lifetime.
13: Lambda Functions: Create small anonymous functions with lambda.
14: Modules: Organize and reuse code with modules.
15: Standard Library Modules: Discover essential modules like math, datetime, os, and sys.
16: Packages: Organize modules into namespaces with packages.
17: Working with Files: Perform file operations like reading, writing, and appending.
18: Exception Handling: Handle errors gracefully with try, except, else, and finally blocks.
19: Classes and Objects: Dive into OOP with classes and objects.
20: Inheritance: Extend class functionality with inheritance.
21: Polymorphism: Use method overriding and polymorphic functions.
22: Regular Expressions: Use regular expressions for pattern matching in strings.
23: List Comprehensions: Create lists based on existing lists with conditions and nested comprehensions.
24: Generators: Create iterators with generators and the yield statement.
25: Decorators: Modify function behavior with decorators.
Basic (1-20): Practice basic Python concepts, including data types, operators, and control structures.
Control Structure (21-40): Focus on loops and conditional statements.
Data Structure (41-80): Reinforce understanding of lists, tuples, dictionaries, and sets.
Look no further! "Python A Comprehensive Beginner's Guide with 200 Practice Exercises" is the ultimate resource to take you from novice to proficient Python programmer.
Step-by-Step Learning: Start with the basics and progress to advanced topics with clear, concise explanations and examples.
Hands-On Practice: 200 practice exercises tailored to solidify your understanding of Python concepts.
Comprehensive Coverage: From basic syntax to advanced topics like decorators and concurrency, this book covers it all.
Real-World Applications: Solve comprehensive exercises that integrate multiple concepts to tackle real-world problems.
Easy to Follow: Designed for beginners with a focus on practical applications and easy-to-understand language.
1: Introduction to Python: Discover Python's history, key features, and installation process.
2: Basic Syntax: Learn about variables, data types, and basic operators.
3: Operators and Expressions: Master arithmetic, comparison, logical, and bitwise operators.
4: Conditional Statements: Control the flow of your program with if, elif, and else statements.
5: Loops: Repeat actions with for and while loops, including break and continue.
6: Control Flow Tools: Explore additional tools like pass, else with loops, and the match statement.
7: Lists: Create and manipulate lists, and use list comprehensions.
8: Tuples: Understand tuples and their immutability.
9: Dictionaries: Work with key-value pairs and common dictionary methods.
10: Sets: Learn about sets and their operations.
11: Defining Functions: Define functions, use parameters, and return values.
12: Scope and Lifetime: Understand variable scope and lifetime.
13: Lambda Functions: Create small anonymous functions with lambda.
14: Modules: Organize and reuse code with modules.
15: Standard Library Modules: Discover essential modules like math, datetime, os, and sys.
16: Packages: Organize modules into namespaces with packages.
17: Working with Files: Perform file operations like reading, writing, and appending.
18: Exception Handling: Handle errors gracefully with try, except, else, and finally blocks.
19: Classes and Objects: Dive into OOP with classes and objects.
20: Inheritance: Extend class functionality with inheritance.
21: Polymorphism: Use method overriding and polymorphic functions.
22: Regular Expressions: Use regular expressions for pattern matching in strings.
23: List Comprehensions: Create lists based on existing lists with conditions and nested comprehensions.
24: Generators: Create iterators with generators and the yield statement.
25: Decorators: Modify function behavior with decorators.
Basic (1-20): Practice basic Python concepts, including data types, operators, and control structures.
Control Structure (21-40): Focus on loops and conditional statements.
Data Structure (41-80): Reinforce understanding of lists, tuples, dictionaries, and sets.
730 pages, Kindle Edition
Published July 30, 2024
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