Python 101: DRY Principle with Wahib El Bessali

🔹 Understanding python range() function and iteration concepts Worked on a detailed Jupyter Notebook focusing on the range() function in Python, a fundamental concept for iteration and loop control, with practical examples to strengthen programming basics. The notebook includes hands-on practice on: 1) Using range() with different arguments (start, stop, step) 2) Understanding how range() works internally in loops 3) Iterating over sequences efficiently using for loops 4) Exploring use cases like generating number sequences and controlling loop execution 5) Writing clean and optimized looping logic with real examples This learning milestone was completed under the guidance of KODI PRAKASH SENAPATI Sir, whose clear explanations and structured teaching approach made these foundational concepts easier to understand and apply. Building strong fundamentals, one notebook at a time 🚀 #CodingJourney #PythonLearning #LoopingConcepts #LearnToCode #Upskill

Python | Arrays | Sum of Array Elements 🧠 Problem: Given an array, find the sum of all elements. 💻 Approach: Iterate through the array and keep adding each element to a running sum. ⏱ Time Complexity: O(n) 📦 Space Complexity: O(1) 📂 Explore more: #PythonProblems #Arrays #CodingPractice #DSA #Programming 📌 Follow QSolutions for daily coding practice 🚀

Today’s task was simple but powerful: finding common elements between two lists in Python. I explored a basic nested loop approach to compare elements from two lists and store the matches. Here’s the logic I worked with: Iterate through each element in the first list Compare it with every element in the second list If a match is found, add it to a new list This helped reinforce: Looping concepts Conditional checks List operations While this approach works, it also made me think about optimization. There are faster and more Pythonic ways (like using sets), which I’m excited to explore next! 🔍 Output from today’s code: Common elements → [3, 23, 6, 7, 8, 35] Every small step like this strengthens problem-solving skills and builds a solid foundation in programming. #Day131 #Python #CodingJourney #100DaysOfCode #LearnToCode #Programming #DeveloperGrowth Rudra Sravan kumar Sagar Bomburi 10000 Coders

Day 14 of My Coding Challenge 💻🔥 Today’s problem was about working with dates in Python — calculating a date 9 months in the future 📅 ✨ Key Learnings: Handling month overflow (12+ months) Managing edge cases like February (28/29 days) Using Python’s datetime and calendar modules 🧠 Example: Input: 2025-04-27 Output: 2026-01-27 This problem improved my understanding of real-world date handling logic, which is very useful in applications like billing systems, subscriptions, and scheduling systems. 🔗 Check out my solution on GitHub:https://lnkd.in/dRygaZbk #Python #CodingChallenge #freecodecamp #Programming #Developer #Learning #GitHub

Day 81 of #100DaysOfCode: Command-Line Arguments! , Python's sys module provides access to command-line arguments passed when running a script. Two key features: • sys.argv stores arguments as a list, with the script name as the first element • len(sys.argv) - 1 gives the count of arguments passed Perfect for creating flexible scripts that accept user input at runtime! GitHub: https://lnkd.in/gJxpTaUV #Python #Coding #100DaysOfCode #Programming #LearnToCode #SysModule

Day 80 of #100DaysOfCode: Recursive Fibonacci Series! , Building Fibonacci sequence recursively by returning the full series rather than just the nth term. Key approach: • Base cases return lists: [0] for n=1, [0,1] for n=2 • Recursively build list by appending sum of last two elements GitHub: https://lnkd.in/giHkSidp #Python #Coding #100DaysOfCode #Programming #LearnToCode #Recursion

🚀Day 12 of My #30DaysOfCode challenge Today I explored Object-Oriented Programming (OOP) in Python🐍💻 At first the idea of classes and objects felt confusing, but after practicing a few examples, It started making sense. Here are the concepts I practiced today: 🔹Classes- A class is like a blueprint. 🔹Object- An object is an instance created from that blueprint. 🔹Creating methods inside classes and understood about how methods help in defining what an object can do 🔹Understanding how objects interact with data. ✨Key learning today OOP helps organize code better and makes programs easier to reuse and manage. Every day of coding is teaching me something new, and i am excited to keep learning and building.🚀 Below is a small example i practiced- #Nxtwave #ccbp #fullstackdevelopment #python

Ready to level up your programming skills? 💡 Check out this comprehensive Python guide that walks you through fundamentals, practical examples, and real-world concepts — perfect for beginners and developers refreshing their skills. 👉 https://lnkd.in/gDnmYVJ9 #Python #SoftwareDevelopment #CareerGrowth #Programming

𝐇𝐎𝐖 𝐈 𝐎𝐏𝐓𝐈𝐌𝐈𝐙𝐄𝐃 𝐏𝐘𝐓𝐇𝐎𝐍 Your Python runs slow. I cut run time. Three steps worked for me. - Change code in small bits. - Test each change fast. - Track only run time. - Use tips from online. Before: 3 hours. After: 1 hour. Speed up 67%. Apply these steps. Your code will improve. Source: https://lnkd.in/g5Umsa-t #webdev #programming #productivity

Consistent learning is the key to mastering programming. Here is a small step in my Python learning journey. I have documented my Python learning notes and practice questions in a PDF and uploaded them on GitHub. These notes include Python fundamentals and practice problems that helped me understand the concepts better. 🔗 Repository: https://lnkd.in/gFfizTYH I will keep updating this as I continue learning. #Python #GitHub #Programming #LearningJourney