Zbigniew Romanowski’s Post

🚀 Day 13 of my Python Full Stack Development Journey Today’s session focused on Continuation of Tuples and an introduction to the Set Data Structure in Python. 🔹 Tuples – Continuation • Applied concatenation ("+") and multiplication ("*") operators on tuples • Converted list → tuple and tuple → list • Summarized key characteristics: – Immutable in nature – Order of insertion is preserved – Duplicates are allowed – Supports heterogeneous data – Indexing and slicing are applicable – Tuple comprehension is not supported 🔹 Introduction to Sets • Learned how to create sets • Used the "set()" function • Understood how to create an empty set • Explored important built-in functions: "add()", "update()", "copy()", "pop()", "remove()", "discard()", "clear()" 💡 This session helped me understand the differences between tuples and sets, and when to use each effectively. 🙏 Thanks to G.R NARENDRA REDDY Sir and Global Quest Technologies for their continuous guidance and support. #Python #FullStackDevelopment #LearningJourney #DataStructures #Coding #Programming

This video series explains Object Oriented Programming (OOPS) in python in detail with many examples. This video discusses about Multiple Inheritance, super() function, Function Overriding etc.

Day 2 of #100DaysOfCode – Python Practice Continues! Today I focused on strengthening my string and list problem-solving skills in Python 📌 What I practiced today 🔹 String operations ✔️ Reverse a string ✔️ Palindrome check ✔️ Count vowels & consonants ✔️ String length without len() ✔️ Remove spaces ✔️ Count substring occurrences 🔹 Intermediate string logic ✔️ Convert to uppercase ✔️ Replace vowels with * ✔️ Check anagrams ✔️ First non-repeated character 🔹 List operations ✔️ Largest & smallest element ✔️ Sum of list elements ✔️ Remove duplicates ✔️ Sort list in ascending order 💡 These problems helped me understand: ➡️ String manipulation techniques ➡️ Logical thinking & condition handling ➡️ Working with lists efficiently 🔥 Step by step, building strong programming fundamentals! Consistency + Practice = Growth 📈 Global Quest Technologies ✨ #100DaysOfCode #Python #PythonProgramming #CodingJourney #LearnPython #DataStructures #ProblemSolving #Developer #CodingLife #TechSkills #SoftwareDevelopment #GlobalQuestTechnologies #GQT #Day2Challenge

🚀 Writing Cleaner Python Code with Simple Techniques Many developers overlook small features that can significantly improve code readability and efficiency. Two such powerful concepts in Python are: 🔹 Default Arguments – Allow functions to use predefined values, reducing redundancy 🔹 Ternary Operator – Enables concise conditional expressions in a single line 💡 Why it matters: Cleaner code is easier to maintain, debug, and scale — especially in collaborative environments. Mastering these basics can greatly improve your coding standards and productivity. 👉 Read more info: https://lnkd.in/dyrJnxge #Python #Programming #SoftwareDevelopment #Coding #Developers #CleanCode #TechCareers #Learning

To-Do List Application (Python) I built a simple To-Do List Application using Python to help manage daily tasks efficiently. 🔹 Add, update, and delete tasks 🔹 Track task status (pending/completed) 🔹 Organized task management 🔹 Command-line / GUI-based interface 💡 This project helped me understand task management logic, data handling, and user interaction in Python. 🚀 Small project, big boost in productivity skills! #Python #MiniProject #Productivity #Coding #StudentDeveloper #Tech #codsoft

How async/await Works in Python (Simple Explanation) Async programming in Python allows multiple tasks to run without blocking each other. Instead of waiting for one task to finish, Python can switch to another task. Key Concepts: - async → defines a function that runs asynchronously - await → pauses execution until the task is complete How it works: 1. Task starts (e.g., API call) 2. Instead of waiting, Python moves to another task 3. When result is ready → execution continues Example Use Cases: - API requests - Database queries - File handling - Web scraping Why it’s important: - Faster performance for I/O tasks - Better resource utilization - Handles multiple operations efficiently Final Insight: Async is not about doing things faster… It’s about not wasting time while waiting. Follow Saif Modan #Python #Async #Backend #Programming #Tech #LearningInPublic

Day 4/30 – Python Coding Challenge 🐍 📌 LeetCode Problem 10: Regular Expression Matching 💡 Problem: Implement pattern matching with support for: • '.' → matches any single character • '*' → matches zero or more of the preceding element 🧠 What I learned: • Dynamic Programming (DP) • Recursion with memoization • Handling complex pattern matching logic 💻 Example: Input: s = "aa", p = "a*" Output: True 🚀 Insight: Instead of brute force, I used DP to efficiently check all possibilities, especially when handling '*' cases. This was a challenging but rewarding problem 💪 #30DaysOfCode #Python #LeetCode #DynamicProgramming #CodingChallenge #ProblemSolving

Day 8/30 – Python Coding Challenge 🐍 📌 LeetCode Problem 11: Container With Most Water 💡 Problem: Find two lines that form a container holding the maximum water. 🧠 What I learned: • Two-pointer technique • Optimizing brute force (O(n²) → O(n)) • Smart decision making using minimum height 💻 Example: Input: [1,8,6,2,5,4,8,3,7] Output: 49 🚀 Insight: By moving the pointer with smaller height, we can efficiently maximize the area. Learning to think smarter, not harder 💪 #30DaysOfCode #Python #LeetCode #TwoPointers #CodingChallenge #ProblemSolving

🚀 3 Python Tricks That Will Make Your Code 10x Cleaner Writing code is one thing, but writing clean, readable, and efficient Python code is what separates good developers from great ones. Here are three tricks I use to level up my Python projects: 1️⃣ List Comprehensions & Generators – Replace loops with concise expressions to save lines and memory. 2️⃣ F-Strings for Formatting – Clear, fast, and readable string formatting. 3️⃣ Use Enumerate Instead of Range – Cleaner iteration with index and value together. 💡 Pro Tip: Small changes like these drastically improve readability and maintainability of your projects. 📌 Comment below: Which Python trick is your favorite, or do you have one to add? #Python #CodingTips #CleanCode #DeveloperLife #Programming

🧠 Python Concept: pass statement Do nothing… but intentionally 😎 ❌ Problem if True: # nothing here 👉 Error ❌ (Python expects something inside) ✅ Pythonic Way if True: pass 🧒 Simple Explanation Think of pass like a placeholder 🧩 ➡️ “I’ll add code later” ➡️ Keeps program running ➡️ Does nothing 💡 Why This Matters ✔ Avoid syntax errors ✔ Useful in empty blocks ✔ Helps in planning code ✔ Common in real projects ⚡ Bonus Examples 👉 In functions: def future_function(): pass 👉 In loops: for i in range(5): pass 🐍 Sometimes doing nothing is important 🐍 Write code step by step #Python #PythonTips #CleanCode #LearnPython #PassStatement #Programming #DeveloperLife #100DaysOfCode