#100 Days of Python: Learning & Building Journey 🚀 Welcome to my 100 Days of Python journey! This repository documents my daily progress as I learn, practice, and build projects using Python. The goal is to develop a solid foundation in Python programming.
✅ Core Python concepts & best practices ✅ Algorithms & data structures ✅ Automation & scripting ✅ Web development with Flask/Django ✅ Data science & visualization ✅ Machine learning & AI basics
**📌 Learning Path **
🔹 Days 1-14 → Beginner Level (Fundamentals, syntax, data types, loops, functions, etc.)
-Variables, Data Types & Manipulation → Understanding variables, primitive data types, type conversion, and string manipulation.
-Control Flow & Logical Operators → Implementing if, elif, and else statements, comparison operators, and logical operators.
-Randomization & Python Lists → Using the random module, working with lists, indexing, and list methods.
-Loops, Functions & Karel → Implementing for and while loops, writing functions, and an intro to Karel (Python for beginners).
-Function Parameters → Understanding function arguments, keyword arguments, and default parameters.
-Dictionaries & Nesting → Creating and manipulating dictionaries, nesting lists and dictionaries for structured data.
-Returning Function Outputs → Understanding return statements, function outputs, and using return values in programs.
-Local & Global Scope → Exploring variable scope, global and local variables, and best practices.
-Debugging & Fixing Errors → Identifying and fixing syntax, logic, and runtime errors using debugging techniques.
🔹 Days 15-31 → Intermediate Level
-Object-Oriented Programming (OOP) Essentials: Understanding classes, objects, and instances Managing object states and attributes Implementing class inheritance and method overriding
-Advanced Function Concepts: Exploring *args and **kwargs for flexible function parameters Understanding dynamic typing and Python's flexibility in handling variables
-File Handling & Data Processing: Reading and writing files, directories, and paths Working with CSV files and using Pandas for data manipulation
-JSON & Error Handling: Handling exceptions (try, except, finally) to prevent crashes Working with JSON files for data serialization and API interactions
-Graphical User Interfaces (GUI) & Visualization: Creating simple GUIs with Tkinter & Turtle Implementing basic event-driven programming
-List & Dictionary Comprehension: Writing more efficient and Pythonic code using comprehensions Iterating and transforming data effectively
🔹 Days 32-39 → Intermediate+ Level
-Email Automation & DateTime Sending emails using SMTP (smtplib) Working with datetime for scheduling and timestamps
-API Integration & Authentication Understanding REST APIs and making GET requests Using API keys, authentication, and environmental variables for security
-Advanced API Requests Sending POST, PUT, DELETE requests Handling API responses and working with external data sources
🔹 Days 40-51 → Intermediate+ Level
-Web Foundations: HTML & CSS → Understanding the structure of web pages, HTML elements, and CSS styling basics for better web automation.
-Web Scraping & Automation → Extracting data from websites using Python, handling dynamic content, and navigating web pages programmatically.
-BeautifulSoup for Web Scraping → Parsing HTML and XML documents, locating elements, extracting text, and handling data efficiently.
-Selenium for Automation → Automating browser interactions, handling form submissions, clicking buttons, and dealing with dynamic content and CAPTCHAs.