Python-Core-

Comprehensive Python core repository including data structures, problem-solving, and real-world coding examples.

01_Basics

This folder contains fundamental Python concepts with definitions and examples.

• variables.py: Variable declaration and scoping.
• input_output.py: User input and console output.
• comments.py: Single-line, multi-line, and docstrings.
• type_casting.py: Converting data types.
• operators.py: Arithmetic, comparison, logical, assignment, identity, and membership operators.
• hello_world.py: Your first Python program.
• external_lib.py: Using external libraries (e.g., pyjokes)
• strings.py: String manipulation.
• lists.py: Mutable sequences.
• tuples.py: Immutable sequences.
• dictionaries.py: Key-value pairs.
• conditionals.py: if, elif, else statements
• loops.py: for and while loops.

02_Intermediate

This folder covers intermediate Python topics including functions, OOP, and file handling.

• functions.py: Defining and calling functions, default arguments.
• lambdas.py: Anonymous functions and their usage with filter().
• file_handling.py: Reading from and writing to files.
• exception_handling.py: Using try-except-finally for error management.
• classes_objects.py: Basics of Object-Oriented Programming (OOP).
• modules_import.py: Importing and using built-in Python modules.

03_Advanced

This folder explores advanced Python features like decorators, generators, and context managers.

• decorators.py: Enhancing functions without modification.
• generators.py: Memory-efficient iteration using yield.
• list_comprehensions.py: Concise syntax for list creation.
• context_managers.py: Managing resources with with statements.
• args_kwargs.py: Handling variable numbers of arguments.

04_Standard_Library

This folder explores essential modules from Python's standard library.

• collections_module.py: Specialized container datatypes like Counter and namedtuple.
• itertools_module.py: Tools for efficient iteration and looping.
• json_module.py: Parsing and creating JSON data.
• random_module.py: Generating random numbers and making random selections.
• threading_module.py: Basics of running concurrent operations using threads.

05_Data_Structures_Algorithms

This folder covers fundamental data structures and common algorithms implemented in Python.

• linked_list.py: Implementation of a Singly Linked List.
• stack_queue.py: Stack (LIFO) and Queue (FIFO) basics.
• binary_tree.py: Binary tree structure and inorder traversal.
• bubble_sort.py: Simple comparison-based sorting algorithm.
• binary_search.py: Efficient searching in sorted arrays.

06_Projects

This folder contains simple Python projects that demonstrate practical application of the concepts learned.

• calculator.py: A basic arithmetic calculator.
• number_guessing.py: A simple number guessing game with random numbers.
• todo_cli.py: A command-line interface for managing a to-do list.
• password_generator.py: A tool to generate secure, random passwords.
• unit_converter.py: Converts between units like temperature and distance.
• rock_paper_scissors.py: A classic game against the computer.
• simple_atm.py: Simulates basic ATM transactions and balance management.

07_Advanced_Projects

This folder contains more complex Python projects that integrate multiple concepts like dictionaries, regex, and simulated APIs.

• url_shortener.py: Logic for shortening URLs using hashing.
• expense_tracker.py: Tracks and summarizes daily expenses.
• weather_app_sim.py: Simulates fetching weather data for cities.
• quiz_app.py: A multiple-choice quiz application.
• inventory_management.py: Track products, stock, and pricing.
• contact_book.py: Simple contact storage and search system.
• markdown_to_html.py: A basic regex-based Markdown to HTML converter.
• budget_planner.py: Helps plan monthly income and expenses.