🎓 Python Record: College Assignments 📚

Welcome to the Python Record repository! This collection of programs spans 12 weeks of intensive learning, practice, and application of Python programming concepts, crafted meticulously as part of my college coursework.

🚀 Table of Contents

• Week 1: Variables and Data Types
• Week 2: Operators and Formatting Output
• Week 3: Selection Control Structures
• Week 4: Iteration Control Structures
• Week 5: Strings and its Operations
• Week 6: Lists and its Operations
• Week 7: Tuples, Sets and their Operations
• Week 8: Dictionary and its Operations
• Week 9: Functions - Built-in and User-defined
• Week 10: Searching Techniques - Linear and Binary
• Week 11: Exceptions
• Week 12: Modules

Week-by-Week Breakdown

Week 1: Variables and Data Types

• Document: Week 1
• Content: Introduction to variables, data types (integers, floats, strings, booleans), type casting.
• Features: Variable assignment, dynamic typing, type conversion, and basic arithmetic operations.
• Highlights: Understanding the role of variables and foundational data types in Python.

Week 2: Operators and Formatting Output

• Document: Week 2
• Content: Arithmetic, relational, logical operators, operator precedence, formatted output.
• Features: Using operators for calculations and comparisons, controlling output format using formatted strings.
• Highlights: Mastering operator usage and formatting techniques for clear and readable output.

Week 3: Selection Control Structures

• Document: Week 3
• Content: If-else statements, nested if-else, elif ladder.
• Features: Implementing conditional logic, making decisions based on different conditions.
• Highlights: Structuring programs to execute different code blocks based on specified conditions.

Week 4: Iteration Control Structures

• Document: Week 4
• Content: For loops, while loops, controlling loops with break, continue statements.
• Features: Iterating over sequences, controlling loop execution, optimizing loop performance.
• Highlights: Implementing iterative processes to solve problems efficiently using loops.

Week 5: Strings and its Operations

• Document: Week 5
• Content: String manipulation, slicing, concatenation, string methods.
• Features: Performing operations like searching, replacing, and formatting strings.
• Highlights: Exploring the versatility and utility of Python strings in practical scenarios.

Week 6: Lists and its Operations

• Document: Week 6
• Content: List creation, indexing, slicing, list methods (append, extend, sort).
• Features: Manipulating lists, iterating over lists, sorting and searching techniques.
• Highlights: Utilizing lists as versatile data structures for storing and processing sequential data.

Week 7: Tuples, Sets and their Operations

• Document: Week 7
• Content: Tuple creation, accessing elements, tuple methods, set creation, set operations (union, intersection).
• Features: Exploring immutable tuples and unique sets, performing set operations.
• Highlights: Understanding when to use tuples and sets based on their properties and advantages.

Week 8: Dictionary and its Operations

• Document: Week 8
• Content: Dictionary creation, accessing elements, dictionary methods (keys, values, items).
• Features: Storing key-value pairs, iterating over dictionaries, manipulating dictionary data.
• Highlights: Harnessing dictionaries for efficient data retrieval and management in Python.

Week 9: Functions - Built-in and User-defined

• Document: Week 9
• Content: Defining functions, function arguments, return statements, lambda functions, built-in functions.
• Features: Creating reusable code blocks with functions, using lambda expressions, exploring Python's built-in functions.
• Highlights: Organizing code into modular functions for improved readability and maintainability.

Week 10: Searching Techniques - Linear and Binary

• Document: Week 10
• Content: Implementing linear search and binary search algorithms.
• Features: Searching unsorted and sorted lists efficiently, understanding algorithmic complexity.
• Highlights: Comparing linear and binary search methods, applying them to real-world scenarios.

Week 11: Exceptions

• Document: Week 11
• Content: Handling exceptions with try-except blocks, raising exceptions, finally clause.
• Features: Ensuring robust error handling, preventing program crashes, debugging techniques.
• Highlights: Writing reliable code that gracefully manages unexpected errors and exceptions.

Week 12: Modules

• Document: Week 12
• Content: Creating and importing modules, module structure, module attributes and functions.
• Features: Organizing code into modules for better code management and reusability.
• Highlights: Leveraging Python's module system to structure large projects and enhance code modularity.

📬 Contact

Feel free to reach out for any queries or collaborations:

• Email: [email protected]
• LinkedIn: M Harish

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Enjoy exploring the world of Python through these exciting programs! 🌟