Python Property Decorator for Cleaner Code

𝐏𝐲𝐭𝐡𝐨𝐧 𝐋𝐞𝐚𝐫𝐧𝐞𝐫𝐬, 𝐒𝐚𝐯𝐞 𝐓𝐡𝐢𝐬 𝐏𝐨𝐬𝐭! If you're learning Python, these small tricks will save you HOURS. 𝟏. 𝐒𝐰𝐚𝐩 𝐓𝐰𝐨 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞𝐬 (𝐖𝐢𝐭𝐡𝐨𝐮𝐭 𝐓𝐞𝐦𝐩 𝐕𝐚𝐫𝐢𝐚𝐛𝐥𝐞) a, b = b, a 𝟐. 𝐑𝐞𝐯𝐞𝐫𝐬𝐞 𝐚 𝐒𝐭𝐫𝐢𝐧𝐠 text = "Python" print(text[::-1]) 𝟑. 𝐑𝐞𝐦𝐨𝐯𝐞 𝐃𝐮𝐩𝐥𝐢𝐜𝐚𝐭𝐞𝐬 𝐟𝐫𝐨𝐦 𝐋𝐢𝐬𝐭 numbers = [1,2,2,3,4,4] unique = list(set(numbers)) 𝟒. 𝐂𝐡𝐞𝐜𝐤 𝐢𝐟 𝐚 𝐍𝐮𝐦𝐛𝐞𝐫 𝐢𝐬 𝐄𝐯𝐞𝐧 num = 10 print(num % 2 == 0) 𝟓. 𝐋𝐢𝐬𝐭 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐨𝐧 (𝐏𝐨𝐰𝐞𝐫 𝐌𝐨𝐯𝐞) squares = [x*x for x in range(10)] These are small tricks. But small tricks build strong logic. . . . #python #pythonprogramming #coding #programming #learntocode #developers #codenewbie #softwaredeveloper #techcareers #100daysofcode

🚀 Python 3.14 Level Up: UUIDv7 is here! If you're still using uuid4() for your database keys, you’re fragmenting your indexes. Random IDs = slow writes as your DB grows. 📉 The Fix: UUIDv7 (Now native in Python 3.14!) It’s time-ordered. It sorts naturally. It keeps your database fast. ❌ The Old (Random): id = uuid.uuid4() # Great, but kills DB performance at scale. ✅ The New (Ordered): id = uuid.uuid7() # Fast, sortable, and production-ready. Why?? * Better DB Performance: Sequential inserts = happy B-Trees. * No more shutil: pathlib now has .copy() and .move() too! Are you upgrading to 3.14 for the speed, or staying on 3.12 for the stability? 👇 #Python #CleanCode #Backend #SoftwareEngineering #Databases

That `InitVar` in a dataclass… do you actually know what it does? It looks like a field. It’s declared like a field. But it’s not really a field. In today’s video, I walk through 7 interesting things you can do with Python dataclasses. From automatic class registration and lightweight validation systems to cached derived values, self-building CLI parsers, and even using dataclasses as context managers. Most developers treat dataclasses like “nicer structs.” But they’re just normal Python classes with less boilerplate. And once you realize that, they become a design tool, not just a convenience. 👉 Watch the full video here: https://lnkd.in/eeEzkhJQ. #python #dataclasses #softwaredesign #cleancode #developers #arjancodes

Still writing count = count + 1? There’s a shorter way. 📈 count += 1 does the same thing — and it’s what you’ll see in almost every Python codebase. I wrote a short beginner’s guide that covers: ✅ What “update a variable” means (same name on both sides of =) ✅ The short form: +=, -=, *=, /=, %= ✅ Why += 1 is the standard for counting ✅ Bitwise compound: &=, |=, ^=, <<=, >>= ✅ Summary table + practice problems with answers ✅ Why the short form is cleaner and less error‑prone ~5 min read. Straight to the point. https://lnkd.in/gV3TBusi #Python #Programming #Coding #Beginners #LearnToCode #AugmentedAssignment #Operators #Tech #SoftwareDevelopment #CodingTips

That `InitVar` in a dataclass… do you actually know what it does? It looks like a field. It’s declared like a field. But it’s not really a field. In today’s video, I walk through 7 interesting things you can do with Python dataclasses. From automatic class registration and lightweight validation systems to cached derived values, self-building CLI parsers, and even using dataclasses as context managers. Most developers treat dataclasses like “nicer structs.” But they’re just normal Python classes with less boilerplate. And once you realize that, they become a design tool, not just a convenience. 👉 Watch the full video here: https://lnkd.in/e5pkc7Ae. #python #dataclasses #softwaredesign #cleancode #developers #arjancodes

Built a Personal Library Manager with Python + Streamlit! First 32s: Full code walkthrough (main.py + pyproject.toml) Last 33s: Live UI demo (Add books, Search, Stats, Export) Features: - Add books with Title, Author, Genre, Year, Pages - Inline editing with Read/Unread checkbox - Search by Title or Author instantly - Stats dashboard with genre bar chart - Export your entire library to CSV - Zero database needed - saves locally as CSV - No login, no cloud - 100% private Built with Python + Streamlit + Pandas + uv 106 lines of code. Zero backend. Works offline. This is the kind of tool I use personally - simple, fast, no unnecessary complexity. #Python #Streamlit #Pandas #BuildInPublic #100DaysOfCode #TechPakistan #Programming #OpenSource

Day 54 of 365 Days of code 1) Capacity to Ship Packages Within D Days Approach: Binary search 1)set low = max(weights) 2) high= low*sum(weights) 3) perform the below steps until low<=high condition fails i) mid=low+(high-low)//2;res=0 ii) set w = mid and initialize day=1 iii) iterate through the loop and perform the stuff i put in screenshot (ahh life hurts :") ) iv) if the day <= days: set res=mid ; set high=mid-1 v) else low=mid+1 4) return res #365daysOfCode #NeetCode  #leetcode  #DSA  #python #LeetCode #ProblemSolving  #Algorithms #365dayschallenge

Let’s think together 👇 def change_value(x): x = x + 10 return x num = 5 change_value(num) print(num) 🤔 What do you think the output will be? Is it: 15 5 Error ✅ The correct answer is: 5 Wait… why not 15? 😏 Because in Python, integers are immutable. When we passed num into the function: The value 5 was copied into x The function modified x But the original variable num was never reassigned So num stays the same. 🔥 The real twist If we did this instead: num = change_value(num) print(num) Now the output becomes 15 Because we reassigned the returned value. 💡 Key Insight Python doesn’t magically change your variables. You must explicitly reassign them. This small concept explains: Why integers behave differently than lists Why some bugs happen silently The core idea behind mutable vs immutable objects Now your turn 👇 What do you think would happen if we used a list instead of an integer? 😏 #Python #Coding #100DaysOfCode #Programming #Backend #LearningJourney

Day 32 of my #100DaysOfCode challenge 🚀 Today I worked on a Python program to implement a custom version of the isdigit() function. Instead of using Python’s built-in method, I created my own function to check whether a string contains only numeric digits. What the program does: • Takes a string as input • Checks each character in the string • Verifies whether it lies between '0' and '9' • Returns True if all characters are digits • Returns False otherwise How the logic works: 1)The function first checks if the string is empty 2)If it is empty, it returns False 3)The program iterates through each character in the string 4)It checks whether the character falls within the range '0' to '9' 5)If any character fails this condition, the function returns False 6)If all characters satisfy the condition, the function returns True Example: Input: "123" Output: True Input: "123a" Output: False Input: "-1" Output: False Input: "0" Output: True Why this is useful: – Helps understand how built-in functions work internally – Uses ASCII character comparison – Strengthens string validation logic Key learnings from Day 32: – Implementing built-in functionality manually – Understanding ASCII-based comparisons – Writing validation logic for strings – Strengthening Python fundamentals #100DaysOfCode #Day32 #Python #PythonProgramming #StringValidation #Algorithms #ProblemSolving #CodingPractice #LearnByDoing #ComputerScience #ProgrammingJourney #DeveloperGrowth #BTech #CSE #AIandML #VITBhopal #TechJourney

 Stop Blocking — Start Scaling! If you’re writing Python apps that wait on I/O — like web requests, file ops, or socket connections — your code can feel slow even if the hardware isn’t. That’s where modern Python concurrency shines! I just broke down the real magic behind Python’s asyncio — not just theory, but practical, runnable patterns: 🔹 What coroutines actually are and how they pause & resume work 🔹 How to convert a function into a coroutine with async def 🔹 Why coroutines by themselves don’t run — and how asyncio.create_task() changes that! 🔹 How Tasks let you run many coroutines concurrently 🔹 Using Locks & Semaphores to coordinate shared resources safely 🔹 Visualizing the event loop in action so you finally get async behavior 🔹 Handy patterns → real code you can drop into your project Learn how Python can handle thousands of concurrent operations without threads, and how to avoid common mistakes that lead to deadlocks or wasted CPU time. 👉 Read it now: https://lnkd.in/gn-JzHcR 💬 Got an async use case that’s driving you crazy? Drop a comment — I’ll help you optimize it! #Python #Asyncio #AsyncProgramming #SoftwareEngineering #CodingTips #DeveloperCommunity #OpenSource