Implementing Prime Number Generation in Python for DSA and Real-World Problems

Day 59 of my #100DaysOfCode challenge 🚀 Today I implemented a Python program to count the number of set bits (1s) in a binary number. This uses an efficient bit manipulation technique and is very important in DSA & low-level optimization. What the program does: • Takes an integer n as input • Converts it conceptually to binary • Counts the number of set bits (1s) • Uses an optimized approach instead of checking each bit Example Outputs: 29 (11101) → 4 set bits 7 (111) → 3 set bits 16 (10000) → 1 set bit How the logic works: Uses Brian Kernighan’s Algorithm: n = n & (n - 1) • This removes the rightmost set bit in each step • Repeat until n = 0 • Count how many times this operation runs Why this is important: – Much faster than checking every bit ⚡ – Used in: Bit manipulation problems Competitive programming Low-level optimizations – Common in coding interviews Time Complexity: O(number of set bits) Space Complexity: O(1) Key Takeaways: – Understanding bitwise operations – Efficient counting techniques – Writing optimized solutions – Learning real-world low-level logic #100DaysOfCode #Day59 #Python #Programming #DSA #Algorithms #BitManipulation #Binary #CodingPractice #ProblemSolving #InterviewPrep #Optimization #DeveloperJourney #Consistency #BTech #CSE #AIandML #VITBhopal #TechJourney

𝐈 𝐰𝐫𝐨𝐭𝐞 𝐭𝐡𝐞 𝐬𝐚𝐦𝐞 𝐥𝐢𝐧𝐞 𝟕 𝐭𝐢𝐦𝐞𝐬 𝐛𝐞𝐟𝐨𝐫𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐭𝐡𝐢𝐬 😩 A function is just a named block of code you can run anytime. def = define. then call it by name. 𝑾𝒉𝒚 𝒖𝒔𝒆 𝒕𝒉𝒆𝒎? → Write once, use many times → Easier to fix bugs (one place) → Cleaner code that humans can read 𝑲𝒆𝒚 𝒇𝒆𝒂𝒕𝒖𝒓𝒆𝒔: → 𝑷𝒂𝒓𝒂𝒎𝒆𝒕𝒆𝒓𝒔: Values you pass into a function so it can work with different data each time. → 𝙍𝙚𝙩𝙪𝙧𝙣: The value a function sends back to you after it finishes its job. → 𝘿𝙚𝙛𝙖𝙪𝙡𝙩 𝙖𝙧𝙜𝙪𝙢𝙚𝙣𝙩𝙨:Fallback values that a function uses if you don't pass anything for that parameter. → 𝘿𝙤𝙘𝙨𝙩𝙧𝙞𝙣𝙜𝙨: A short note inside a function that explains what it does (for you and others reading the code). 𝙁𝙪𝙡𝙡 𝙘𝙤𝙙𝙚 + 𝙚𝙭𝙖𝙢𝙥𝙡𝙚𝙨: 🔗 Vist my Github :https://lnkd.in/drGxebiM 𝑶𝒗𝒆𝒓 𝒕𝒐 𝒚𝒐𝒖: 👇 Type "GUILTY" if you've ever written the same loop 4 times in one script.😅 #python #AiEngineer #coding

🚀 Day 9 of My 30-Day Python Journey Today’s focus was on making functions more flexible and expressive by working with default and keyword arguments. 🔹 What I covered today: • Using default arguments to handle optional inputs • Passing values using keyword arguments for better readability • Understanding positional vs keyword argument behavior • Writing cleaner and more flexible function logic 💡 Key Takeaway: Well-designed functions aren’t just about logic they’re about usability. Default and keyword arguments make code more readable, adaptable, and closer to real-world development practices. 🧪 Practice Focus: Built small utilities like a greeting function with defaults, a calculator with optional inputs, and an order system using keyword-based parameters. 📌 Next Step: Exploring variable-length arguments (*args, **kwargs) to handle dynamic inputs and build more advanced functions. Improving not just how code works but how it’s structured. 💻 #Python #CodingJourney #LearnToCode #Developers #Programming #TechGrowth #100DaysOfCode

🚀 Day 81 – Mastering Date & Time in Python ⏰📅 Today’s learning journey was all about the datetime module — one of Python’s most practical tools for handling real‑world scenarios involving dates and times. 🔹 Current Date & Time – Practiced fetching the present moment with datetime.now(), a powerful way to anchor programs in real‑time. 🔹 Modification – Explored how to adjust dates and times, making it possible to calculate future or past events with ease. 🔹 Formatting with strftime – Learned how to present date and time in human‑friendly formats, turning raw data into readable output. 🔹 Parsing with strptime – Understood how to convert strings into datetime objects, bridging user input with program logic. 🔹 timedelta Magic – Discovered how to perform arithmetic on dates and times, enabling countdowns, schedules, and reminders. 🔹 Alarm Task – Applied these concepts to build a simple alarm, reinforcing how datetime can power real‑life applications. 🌱 Reflection – Working with time isn’t just technical; it’s about making programs responsive to the world around us. From reminders to logs, datetime is the backbone of time‑aware applications. ✨ Grateful to Ajay Miryala sir and the 10000 Coders team for guiding me through another essential building block in Python. ⚡ Day 81 was about turning abstract concepts into practical tools — learning to control time itself in code! #Day81 #PythonLearning #Datetime #CodingJourney #10000Coders #LearnInPublic #100DaysOfCode

🚀 Day 62 of My Python & DSA Journey Today’s LeetCode problem was Ugly Number (263) — a simple yet interesting problem focused on number factorization. 🔍 Problem Solved: An Ugly Number is a positive number whose prime factors only include 2, 3, and 5. The task was to check whether a given number is an ugly number or not. 💡 Approach Used: • Keep dividing the number by 2, 3, and 5 • Remove all these factors • If the final number becomes 1, it's an ugly number • Otherwise, it's not ⚡ Key Learnings: • Understanding prime factorization • Using while loops effectively • Writing clean and efficient logic • Improving number-based problem solving 📊 Complexity Analysis: ✅ Time Complexity: O(log n) We continuously divide the number by 2, 3, and 5 ✅ Space Complexity: O(1) No extra space used 🎯 Why This is Efficient? Instead of checking all factors, we directly remove allowed prime factors, making the solution fast and clean. Under the Guidance of: Rudra Sravan kumar and Manoj Kumar Reddy Parlapalli #Day62 #Python #LeetCode #DSA #Algorithms #CodingJourney #100DaysOfCode 10000 Coders 🚀

🚀 Solved: Middle of the Linked List Today I worked on a classic linked list problem — finding the middle node efficiently. 🔹 Problem: Given the head of a singly linked list, return the middle node. If there are two middle nodes, return the second one. 🔹 Approach: Used the two-pointer technique: Slow pointer moves 1 step at a time Fast pointer moves 2 steps at a time By the time the fast pointer reaches the end, the slow pointer will be at the middle. 🔹 Complexity: Time: O(n) Space: O(1) 💡 Key takeaway: Two-pointer techniques are extremely powerful for linked list problems #coding #datastructures #python #leetcode #learning #problemsolvingSkills #10000 Coders #Vamsi Enduri #GALI VENKATA GOPI #Manoj Kumar Reddy Parlapalli

🚀 100 Days of Code – Restarting My Python Journey #Day29 of #100DaysOfCode Continuing my Python journey with 📘 “100 Days of Code: The Complete Python Pro Bootcamp” on Udemy by Angela Yu (London App Brewery). 🎯 Day 29 Project — Password Manager 🔐 Built a GUI-based password manager using Tkinter that can: - Generate strong, random passwords - Store credentials securely - Retrieve saved data when needed This project combined GUI development, file handling, and logic building to create a practical and usable application. 🔗 Check out my progress here: https://lnkd.in/gAufnQ8F One key takeaway: Building tools that solve real problems makes learning far more impactful. The focus remains: consistency + deep understanding + building in public. 💡 Small steps daily. Big results over time. More updates coming soon… stay tuned! #100DaysOfCode #Python #CodingJourney #LearnInPublic #DeveloperLife #GitHub #Consistency #Day29 #Udemy #BackToLearning #Tkinter

Day 3 of #100DaysOfCode – Python Practice Continues! Today I focused on improving my problem-solving skills with numbers and lists 🐍💡 📌 What I practiced today (Programs 26–40): 🔹 Number-based problems ✔️ Second largest element ✔️ Leap year check ✔️ Even & odd count ✔️ GCD & LCM ✔️ Armstrong number ✔️ Perfect number ✔️ Count digits ✔️ Factors of a number 🔹 List-based problems ✔️ Reverse a list ✔️ Merge two lists ✔️ Find common elements ✔️ Remove element from list ✔️ Frequency of elements ✔️ Check if list is sorted 💡 Key Learnings: ➡️ Improved logical thinking ➡️ Better understanding of loops & conditions ➡️ Hands-on with list operations and real-world scenarios ⚡ Faced small errors while coding, but debugging helped me learn deeper — that’s where real growth happens! 🔥 Consistency is building confidence day by day Global Quest Technologies ✨ #100DaysOfCode #Python #PythonProgramming #CodingJourney #LearnPython #ProblemSolving #Developer #CodingLife #TechSkills #SoftwareDevelopment #Debugging #GrowthMindset #GlobalQuestTechnologies #GQT #Day3Challenge

↩️ Stack becomes unforgettable when students connect it to browser history. Today in class, instead of teaching LIFO as just another DSA rule, I mapped Stack to something students use every day: 🌐 browser back button 📝 undo in code editors 📱 mobile app navigation 📂 file history systems The moment they understood: ✅ Push = visit a new page ✅ Pop = go back ✅ Peek = current active page …the topic instantly shifted from theory to product workflow thinking. This is where Python DSA starts building real software architecture intuition. 📌 Swipe through the slides to see Python implementation + real-world projects. Where else do you use Stack in real systems? 👇 #Python #DSA #Stack #PythonDSA #Teaching #Programming #EdTech

Day 42 of #60DaysOfMiniProjects Today I built a Time Capsule Message App using Python Not just another project… This one lets you send a message to your future self Some thoughts aren’t meant for now… they’re meant for the version of you that’s still growing. What this system does: • Write a message to your future self • Set a time delay (in seconds) • Stores messages in a file • Reveals messages only when time is reached • Keeps messages “locked” until the right moment Why this project matters: • Encourages self-reflection • Helps track personal growth • Feels like a digital memory capsule • Shows how simple logic can create meaningful apps Concepts used: • Python basics • File Handling (Read/Write) • Date & Time module • Conditional logic • Simple CLI interaction From storing messages → revealing emotions at the right time. Next improvements: • Auto-delete after reading • Add password protection • GUI version (Tkinter) • Notification-based reveal • Store in database (SQLite) Building consistently. Learning daily. Improving step by step. 🚀 #Python #MiniProjects #BuildInPublic #CodingJourney #DeveloperLife #LearningInPublic #60DaysOfCode