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6-Week Python Learning Roadmap – Beginner Friendly Guys, if you’ve been wanting to start learning Python but didn’t know where to begin, here’s a simple, structured 6-week plan to go from ZERO to writing your own Python projects! No fluff. Just pure learning with practice! Week 1: Python Basics – Lay the Foundation Install Python & set up your IDE (VS Code or Jupyter Notebook) Learn: Variables & Data Types Input / Output Operators Conditional Statements (if-elif-else) Loops (for, while) Mini Project: Build a simple number guessing game Week 2: Data Structures – Your Python Toolbox Master: Lists & Tuples Dictionaries & Sets String Manipulation Understand slicing, indexing & common methods Practice: Reverse a string Sort a list Remove duplicates from a list Week 3: Functions & Modules – Code Like a Pro Write your own functions Understand: Parameters & Return values Lambda functions Python Modules (math, random, etc.) Challenge: Create a BMI Calculator Build a simple password generator Week 4: Object-Oriented Programming (OOP) – Think in Objects Learn: Classes and Objects Constructors (init) Inheritance Method Overriding Practice: Build a class for Bank Account or Student Record System Week 5: Real-World Essentials File Handling: Read/write files Error Handling: try-except blocks Explore Libraries: NumPy for numerical operations Pandas for data analysis Matplotlib for data visualization Mini Project: Analyze and visualize a CSV dataset Week 6: Final Project Week Choose a project idea: To-do list CLI app Weather app using API Mini game with logic (Tic Tac Toe) Spend time on: Planning Building Debugging Polishing your code Practice consistently no matter how small: 1 hour > 0 hour Keep solving mini problems and build your confidence step-by-step Stay consistent and share your progress with others For all resources and cheat sheets, check out my Telegram channel: https://t.me/pythonproz Like if it helps :)

Powerful One-Liners in Python You Should Know! 1. Swap Two Numbers n1, n2 = n2, n1 2. Reverse a String reversed_string = input_string[::-1] 3. Factorial of a Number fact = lambda n: [1, 0][n > 1] or fact(n - 1) * n 4. Find Prime Numbers (2 to 10) primes = list(filter(lambda x: all(x % y != 0 for y in range(2, x)), range(2, 10))) 5. Check if a String is Palindrome palindrome = input_string == input_string[::-1] Free Python Resources: https://t.me/pythonproz

Dictionary in Python A dictionary is a collection of key-value pairs. Each key is unique and maps to a value. Dictionaries are unordered (until Python 3.7) and mutable, meaning you can change them. Creating a Dictionary: person = { "name": "Alice", "age": 25, "city": "New York" } Accessing Values: print(person["name"]) # Output: Alice print(person.get("age")) # Output: 25 Using .get() is safer because it won’t crash if the key doesn’t exist. Adding or Updating Items: person["email"] = "[email protected]" # Add new key person["age"] = 26 # Update value Deleting Items: del person["city"] Looping through a Dictionary: for key, value in person.items(): print(key, ":", value) Why Use Dictionaries? Fast access via keys Ideal for storing structured data (like a JSON object) Very flexible in combining with loops and functions React with ❤️ if you're up for the next topic 📖 Exception Handling in Python Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L ENJOY LEARNING 👍👍

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List Comprehensions in Python It’s a concise way to create new lists by applying an expression to each item in an iterable (like a list or range), optionally filtering with conditions. Basic Syntax: new_list = [expression for item in iterable] Example: squares = [x**2 for x in range(5)] print(squares) # Output: [0, 1, 4, 9, 16] With Condition: even_numbers = [x for x in range(10) if x % 2 == 0] print(even_numbers) # Output: [0, 2, 4, 6, 8] Equivalent Without List Comprehension: squares = [] for x in range(5): squares.append(x**2) Why to use list comprehensions? - It’s more readable and compact - Runs faster than traditional for loops (in most cases) - Helps clean up your code React with ❤️ if you're up for the next topic 📖 Dictionaries in Python Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L ENJOY LEARNING 👍👍

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Loops in Python 👆

Functions in Python Functions are reusable blocks of code that perform a specific task. They help keep your code organized, modular, and easier to debug. Defining a Function: You use the def keyword to define a function. Syntax: def function_name(parameters): # code block return result Example: def greet(name): return f"Hello, {name}!" message = greet("Alice") print(message) Key Concepts: Parameters: Inputs you pass into the function (e.g., name) Arguments: Actual values passed when calling the function (e.g., "Alice") Return Statement: Sends back a result to wherever the function was called Default Arguments: You can set default values for parameters. def greet(name="Guest"): return f"Hello, {name}!" Keyword Arguments: Call functions using parameter names for clarity. def add(a, b): return a + b result = add(b=3, a=2) Why to use Functions: - Reduce repetition - Make code easier to understand and maintain - Allow modular programming React with ❤️ if you're up for the next topic 📖 List Comprehensions Python Resources: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L ENJOY LEARNING 👍👍

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