Oltitia Kenedy Kipkirui’s Post

🐍 Understanding Global & Local Variables in Python Ever wondered how Python handles variable scope? 🤔 Here’s a quick breakdown that’ll make it crystal clear 👇 🔹 Global Variables Defined outside any function — accessible throughout the program. ✅ Use global keyword inside a function if you want to modify them. 🔹 Local Variables Created inside a function — exist only within that function’s scope. 🚫 Trying to access them outside raises a NameError. global_var = "I am global" def my_function():   local_var = "I am local"   print(local_var)   print(global_var) my_function() # print(local_var) ❌ NameError 🔹 Mutable vs Immutable Immutable (int, str, tuple): Rebinding creates new objects. Mutable (list, dict, set): Changes happen in-place, visible everywhere that references them. 💡 Python Insight: Everything in Python is an object. Names are just references to those objects — assignment binds names, not data! Mastering this simple concept helps you write cleaner, bug-free, and memory-efficient Python code. 🚀 #Python #Programming #PythonLearning #CodingTips #Developers #SoftwareEngineering #PythonForBeginners #LearnToCode #CodeNewbie #100DaysOfCode

🐍 Python Trick Question: Can You Guess the Output? 🐍 Here’s a classic loop puzzle that often surprises even experienced Python devs 👇 nums = [1, 2, 3, 4] squares = [lambda: n**2 for n in nums] print([f() for f in squares]) 🤔 What do you think this prints? Most people expect: [1, 4, 9, 16] But the actual output is: [16, 16, 16, 16] 😲 Why? Because the lambda inside the list comprehension captures the variable n, not its value at each iteration. By the time the lambdas run, n equals the last value (4) — so each lambda returns 4**2. ✅ Fix it: Bind the variable in the lambda’s default argument: squares = [lambda n=n: n**2 for n in nums] print([f() for f in squares]) # Output: [1, 4, 9, 16] 💡 Lesson: In Python, closures capture references, not values! #Python #CodingInterview #ProgrammingTips #LearnPython #CodeTricks #Developers

🚀 Set in Python - A Set in Python is a collection data type that is unordered, unindexed, and contains unique elements. It is mainly used when you want to store non-duplicate items and perform mathematical set operations like union, intersection, and difference. 🧩 Key Features: ▪️ Unordered: Elements have no defined order. ▪️ Mutable: You can add or remove items after creation. ▪️ No duplicates: Automatically removes repeated elements. ▪️ Supports set operations like union(), intersection(), difference(), etc. 💡 When to Use: 🔸 You need unique values. 🔸 You want to perform fast membership testing. 🔸 You need set-based operations (like finding common elements). #Python #PythonLearning #PythonBasics #DataStructures #Coding #LearnPython #SetInPython

What is Static Method in Python?👇 A static method is a method that belongs to a class, but does not need access to: the instance (self), or the class itself (cls). 🧩It is created using the @staticmethod decorator. 🧩Belongs to the class, not to instances : It’s defined inside a class, but doesn’t depend on object data. It’s shared across all instances. 🧩Does not take self or cls as the first argument: Since it doesn’t work with instance or class attributes, no self or cls parameter is needed. 🧩Can be called using class name or object: You can call it using ClassName.method() or object.method() — both work. 🧩Acts like a normal function inside a class: It behaves like a regular function but is grouped logically under a class. 🧩Can be called without creating an object: You can use it directly via the class — no need for object = Class() first. ⚙️E.g. class Car: @staticmethod def is_valid_license(license_number): return len(license_number) == 10 print(Car.is_valid_license("MH12AB1234")) # True print(Car.is_valid_license("ABC"))     # False #Python #CodingTips #ObjectOrientedProgramming #PythonDevelopers #LearnPython #SoftwareEngineering

Python MarkItDown: Convert Documents Into LLM-Ready Markdown Get started with Python MarkItDown to turn PDFs, Office files, images, and URLs into clean, LLM-ready Markdown in seconds. https://lnkd.in/eUbCyEiF

Python MarkItDown: Convert Documents Into LLM-Ready Markdown Get started with Python MarkItDown to turn PDFs, Office files, images, and URLs into clean, LLM-ready Markdown in seconds. https://lnkd.in/eUbCyEiF

“Two results, one function 👀 — here’s a Python trick you might not be using yet…” Python’s Hidden Gem: divmod() Function Most people use // (floor division) and % (modulus) separately in Python… But did you know you can get both results at once with a single built-in function? Meet divmod() num1 = 17 num2 = 5 result = divmod(num1, num2) print(result) Output: (3, 2) Here’s what’s happening: 3 → result of 17 // 5 (integer division) 2 → result of 17 % 5 (remainder) So, divmod(num1, num2) is equivalent to: (num1 // num2, num1 % num2) Why it’s useful: Cleaner and more readable than calling both // and % separately Efficient for math-heavy code Great for algorithms like digit extraction, chunking, or working with time conversions Next time you’re using both // and % — give divmod() a try 😉 #Python #CodingTips #Developers #Programming #PythonForBeginners #CodeNewbie #PythonTips

What actually happens when you click “Run” in Python? You write a few lines of code, hit that green triangle ▶️, and boom magic happens. But have you ever wondered what’s really going on behind the scenes? Here’s the simple breakdown: 1️⃣ Python first translates your code into something computers understand (bytecode). 2️⃣ The Python Interpreter (PVM) reads that bytecode and executes it line by line. 3️⃣ Each variable and function you create lives in memory temporarily. 4️⃣ Once it’s done, Python clears that memory, ready for your next run. So next time your script runs successfully, remember: it’s not just “Run”, it’s your logic being interpreted, executed, and optimized in real time! ⚙️ Do you want me to explain how this differs from compiled languages like C++? Comment “YES” 👇 — Noor E Eden LinkedIn: Noor E Eden Facebook: Insight Seeker Instagram: @insight_seeker_fc_ Gmail: bdm.datascience.fc@gmail.com #Python #DataScience #MachineLearning #DataAnalytics #CodingJourney #LearnPython #PythonTips #DataVisualization #PowerBI #ExcelAutomation #SQL #DataEngineer #TechEducation #DataCommunity #InsightSeeker

💡 Python Tip of the Day: Lambda Functions 1️⃣ Lambda functions are small, anonymous functions in Python. 2️⃣ They let you write quick, one-line functions without using def. 3️⃣ Useful for short tasks where defining a full function feels heavy. 4️⃣ Syntax: lambda arguments: expression. 5️⃣ Example — lambda a, b: a + b does the same as a regular add() function. 6️⃣ Ideal for use with map(), filter(), and sorted() functions. 7️⃣ Improves code readability when used wisely. 8️⃣ Avoid overusing — too many lambdas can reduce clarity. 9️⃣ Great for clean, concise, and functional-style Python code. 🔟 Keep learning one Python trick a day to write better, smarter code! 🚀 #Python #CodingTips #CleanCode #SoftwareEngineering #LearningInPublic #AbhishekPR

Python Day 3 Tip: List Comprehension List comprehensions are a concise way to create lists in Python all in one line. It combines a loop, an expression, and an optional condition all inside square brackets. Syntax: new_list = [expression for item in iterable if condition] Example 1: Create a list of squares squares = [x**2 for x in range(1, 11)] print(squares) # Output: [1, 4, 9, 16, 25, 36, 49, 64, 81, 100] Example 2: Get only even numbers even_numbers = [x for x in range(1, 21) if x % 2 == 0] print(even_numbers) # Output: [2, 4, 6, 8, 10, 12, 14, 16, 18, 20] Why use it? 1) Shorter and more readable code 2) Great for quick list transformations Pro Tip: You can use the same logic for sets and dictionaries too. #Python #30DaysOfpythonCode #PythonTips #LearningPython #CodingCommunity