Python If Statements with AND, OR, NOT Logic

🐍 Global Variable in Python — Scope Across Multiple Functions 🌍 A global variable is created outside functions and can be used by many functions 👇 ✅ Global Variable Example count = 0 # Global variable def show(): print(count) def increase(): global count count += 1 show() increase() show() 💡 What’s Happening? ✔️ count is defined outside → GLOBAL ✔️ Any function can READ it ✔️ To MODIFY it → use global keyword Output: 0 1 🔑 Scope of Global Variable • Available in the whole program 🌍 • Accessible inside multiple functions • Lives until the program ends ⚠️ Important Rule 👉 Reading global variable → No keyword needed 👉 Changing global variable → Must use global ❌ Without global def increase(): count += 1 # Error ❌ 👉 Python thinks count is a new local variable 🔥 Best Practice: Use globals sparingly — too many make code harder to debug and maintain. 🚀 Understanding scope is a big step toward writing professional Python programs 💻 #Python #Coding #Programming #LearnToCode #Developer

🐍 Python Functions — Rules & How to Use Them ⚡ Functions let you reuse code instead of writing the same logic again and again 👇 ✅ Basic Function Syntax def greet(): print("Hello, world!") greet() 👉 Output: Hello, world! 💡 Function Rules (Beginner Friendly) ✔️ Use def keyword to create a function ✔️ Function name should be meaningful ✔️ Parentheses () are required ✔️ Indentation is mandatory ✔️ Must call the function to run it ✅ Function with Parameters (Inputs) def greet(name): print(f"Hello, {name}!") greet("Danial") 👉 Output: Hello, Danial! ✅ Function with Return Value def add(a, b): return a + b result = add(3, 5) print(result) 👉 Output: 8 🔑 Why Functions Are Important • Avoid repeating code • Make programs organized • Easier to debug • Used in every real application 🔥 Simple Idea: Function = A machine Input → Process → Output 🚀 Master functions, and you move from beginner code to real programming skills. #Python #Coding #Programming #LearnToCode #Developer

🐍 Python String Methods Every Beginner Should Know ✨ Strings come with powerful built-in methods that make text handling super easy. 🔹 Uppercase & Lowercase text = "hello world" print(text.upper()) # HELLO WORLD print(text.lower()) # hello world 🔹 Remove Extra Spaces text = " Danial " print(text.strip()) # "Danial" 🔹 Replace Text text = "I like Java" print(text.replace("Java", "Python")) # I like Python 🔹 Split Into List text = "apple,banana,mango" print(text.split(",")) # ['apple', 'banana', 'mango'] 🔹 Check Text text = "python" print(text.startswith("py")) # True print(text.endswith("on")) # True 💡 Why String Methods Matter: They help you clean, modify, and analyze text — a skill used in almost every real project. Master strings = Master Python basics 🚀 #Python #Coding #Programming #LearnToCode #Developer #100DaysOfCode

🐍 Python Function Naming Rules — Write Professional Code ⚡ Function names should be clear, readable, and follow Python standards 👇 ✅ Basic Rules ✔️ Must start with a letter or underscore _ ✔️ Cannot start with a number ❌ ✔️ Can contain letters, numbers, underscores ✔️ No spaces allowed ✔️ Case-sensitive (getData ≠ getdata) ✅ Valid Function Names def greet_user(): pass def calculate_total(): pass def _private_function(): pass ❌ Invalid Function Names def 1greet(): # Cannot start with number pass def greet-user(): # Hyphen not allowed pass def greet user(): # Space not allowed pass 💡 Best Practice (PEP 8 Style) ✔️ Use lowercase_with_underscores (snake_case) ✔️ Use verbs — functions perform actions ✔️ Keep names meaningful def get_user_data(): pass def send_email(): pass def calculate_salary(): pass 🔥 Pro Tip: Good function names explain what the function does — no comments needed 👍 🚀 Clean naming = Clean code = Professional programmer 💻 #Python #Coding #Programming #LearnToCode #Developer

Most Python developers use print() every day — but very few know ALL its parameters. 🐍 Here's everything packed into one cheat sheet: ✅ Basic syntax: print(*objects, sep=' ', end='\n', file=sys.stdout, flush=False) ✅ 5 parameters you should know: → sep — change the separator between values → end — control what prints at the end (not always a newline!) → file — print directly to a file or stream → flush — force immediate output (useful in logs & pipelines) → f-strings — the cleanest way to format output ✅ Common mistakes to avoid: ❌ Forgetting quotes around text ❌ Missing commas between multiple values ❌ Concatenating strings + numbers directly ❌ Forgetting parentheses (Python 2 habit!) Whether you're debugging, logging, or formatting output — mastering print() makes your code cleaner and you faster. 💡 Save this for your next coding session. 🔖 --- 📌 Follow for daily Python tips and developer resources. #Python #Programming #CodingTips #LearnPython #SoftwareDevelopment #PythonDeveloper #CodeNewbie #100DaysOfCode #TechEducation #Developer

🔥 Python Logical Operators Made Simple (AND • OR • NOT) 🔥 If you're starting your Python journey, understanding logical operators is a MUST. They help your program make decisions — just like humans do. ✅ AND — All conditions must be TRUE age = 20 has_id = True if age >= 18 and has_id: print("Allowed") 👉 Output: Allowed ✅ OR — At least one condition must be TRUE is_student = False has_discount_card = True if is_student or has_discount_card: print("Discount Applied") 👉 Output: Discount Applied ✅ NOT — Reverses the condition is_logged_in = False if not is_logged_in: print("Please log in") 👉 Output: Please log in 💡 In simple words: AND → All must be true OR → Any one is enough NOT → Opposite of the condition Master these, and you’ll unlock real programming logic 🚀 #Python #Programming #Coding #LearnToCode #Developer #100DaysOfCode

🚨Errors in Code & Errors in Data When writing programs, errors generally come from two sides. 1️⃣ Errors in Code (Bugs) These happen because of mistakes made while writing the program. Wrong logic, incorrect conditions, syntax issues — all of these lead to unexpected behavior. This type of error is commonly called a bug. 👉 The problem is in the logic. 2️⃣ Errors in Data Sometimes the code is perfectly written — but the input data is wrong. Invalid values, missing fields, unexpected formats, or corrupted data can cause incorrect results or runtime failures. 👉 The problem is in the input, not the logic. 🛠️ So how do we handle them? That’s where exception handling comes in. Such as: In JavaScript → try...catch...finally In Python → try...except...finally #JavaScript #Python #WebDevelopment #SoftwareEngineering #Programming #Developers #Coding #TechCommunity #LearningInPublic #SoftwareDevelopment #TechLearning

👨💻𝗣𝘆𝘁𝗵𝗼𝗻 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 - 𝗾𝘂𝗶𝗰𝗸 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲💡 What will be the output? 🤔 prices = [100, 250, 400, 1200, 50] apply_discount = lambda p: p - p*0.1 discounted = map(apply_discount, prices) print(list(discounted)) print(list(discounted)) Most people expect both lines to print the same values. But Python prints an empty list the second time. It's Bug or Feature! 🧐 What do you believe is happening here? Think about it for a moment before checking the explanation 🙂 After you try, I explained the real reason (and why it matters for generators and memory efficiency) here. 👇 #Python #Programming #SoftwareDevelopment #LearnToCode

🧠 Python Concept: dict.get() vs Direct Access Accessing dictionary values safely. ❌ Direct Access student = {"name": "Asha", "age": 20} print(student["grade"]) Output KeyError: 'grade' If the key doesn’t exist, Python throws an error. ✅ Using dict.get() student = {"name": "Asha", "age": 20} print(student.get("grade")) Output None No crash. No error. ⚡ Provide a Default Value student = {"name": "Asha", "age": 20} print(student.get("grade", "Not Available")) Output Not Available 🧒 Simple Explanation 📚 Imagine asking a librarian for a book 📚 Direct access →Imagine if the book isn't there, they shout an error 😅 📚 get() → They calmly say “Not available.” 💡 Why This Matters ✔ Prevents crashes ✔ Cleaner error handling ✔ Safer dictionary access ✔ Very common in real projects 🐍 Small Python features often prevent big problems 🐍 dict.get() helps you safely access dictionary values without crashing your program. #Python #PythonTips #PythonTricks #AdvancedPython #CleanCode #LearnPython #Programming #DeveloperLife #DailyCoding #100DaysOfCode