Mikhail Mikushin’s Post

Python Subtlety — Can You Spot the Difference? You’ve seen this before: if __name__ == "__main__": But what happens if someone writes it slightly wrong? One tiny typo… and your script won’t behave the way you expect. Question for you: What’s the difference between the correct version and this common mistake and why does it matter? Drop your answer below FOLLOW FOR MORE PYTHON TIPS & INSIGHTS. #Python #Programming #CleanCode #SoftwareEngineering #Backend

 I just published a blog explaining what really happens behind the scenes when we use Lists, Tuples, Sets, and Dictionaries in Python. Earlier, I used them without thinking much. But understanding their internal working changed how I write code — especially for performance and scalability. If you're learning Python or preparing for interviews, this will definitely help. 🔗 Read here: https://lnkd.in/gtGa-9px #Python #DataStructures #CodingJourney #SoftwareDevelopment #InnomaticsResearchLabs

Day 14 of my 30 Days of Python Challenge — and today it’s all about list() ! One of the simplest yet most powerful built-in functions in Python. ✅ What I learned today: 🔹 list() converts any iterable into a list 🔹 Strings are iterable — so “abc” becomes [‘a’, ‘b’, ‘c’] 🔹 Unlike strings, lists are mutable — you can modify individual characters 🔹 You can always convert back using “”.join(chars) 💡 Why does this matter? In real-world Python, you often need to manipulate strings character by character — list() makes that clean and easy. Small function. Big impact. 💥 Still going strong on this challenge — one concept at a time! 💪 #Python #30DaysOfPython #CodingJourney #LearnPython #PythonForBeginners #Programming #TechLearning #CodeNewbie #SoftwareDevelopment #LinkedInLearning

🚀 Python Tip: len(obj) -> obj.__len__() next(obj) -> obj.__next__() Built-in functions delegate behavior to dunder (double-underscore) methods implemented on objects. That’s how Python lets your own classes behave like built-in types. #Python #PythonTips #PythonProgramming #LearnPython #CodeNewbie #100DaysOfCode #Programming #SoftwareEngineering #CleanCode #PythonInternals #PythonTricks #DevTips

Day 48 – Pangram Checker in Python: Day 48 focused on checking whether a sentence is a pangram—one that contains every letter of the English alphabet at least once. By leveraging Python sets and case normalization, this solution efficiently validates sentences while reinforcing set operations and string handling fundamentals. GitHub Code: https://lnkd.in/grd5wcGj #Day48 #100DaysOfCode #Python #Pangram #SetOperations #StringHandling #ProblemSolving #DailyCoding

A life saver for anyone involved in machine learning and keen in keeping technical documentation up to date. #LaTex #Pix2Tex #Python

For almost a decade, I did not pay much attention to Python’s collections library. Once I started using it, I realized how much simpler many problems could be. Have you ever wondered why Python has a collections library when we already have list and dict? The collections module provides specialized data structures like Counter, defaultdict, deque, and more, each designed to solve very specific problems. If you believe good code starts with good data structures, then Python's collections library is worth mastering. #Python #Collections #DataStructures #CleanCode #CodeQuality #DeveloperTips

🔁 Understanding Loops in Python 🐍: Loops are one of the most powerful concepts in Python. They allow us to execute a block of code multiple times — making our programs efficient, clean, and scalable. In Python, there are two main types of loops: 1️⃣ for Loop: Used when we know how many times we want to iterate ✅ Commonly used with: Lists Tuples Strings Dictionaries Range of numbers 2️⃣ while Loop Used when we want to repeat a block of code until a condition becomes False. 💡 Useful for: Input validation Running models until accuracy threshold Real-time data processing 📌 Key Takeaway: Loops help us transform repetitive tasks into efficient automated solutions. #Python #DataAnalytics #Coding #100DaysOfCode #LearningJourney

🚀 Day 14/30 – Search Insert Position (Binary Search in Python) Today’s problem: LeetCode 35 – Search Insert Position We’re given: A sorted array of distinct integers A target value If the target exists → return its index. If not → return the index where it should be inserted.SoarX Constraint: O(log n) runtimeConsistency > Motivation 💪 #30DaysOfCode #BinarySearch #python #DSA #Algorithms #CodingChallenge #LeetCode

Day 71 – Map Function in Python: Day 71 focused on learning the map() function in Python, which is used to apply a function to every item in an iterable like a list. I practiced using map() along with lambda functions to square numbers in a list and to create greeting messages for a list of names. This exercise helped me understand how map() can process data efficiently and reduce the need for traditional loops, making Python code more concise and functional. GitHub Code: https://lnkd.in/gxBQmHAs #Day71 #100DaysOfCode #Python #MapFunction #Lambda #LearningPython #CodingJourney #DailyCoding #Consistency