Crack the Code with Python Graph Analysis

💻 Exploring Recursion in Python 🚀 Today I worked on implementing two classic recursive problems — Factorial and Fibonacci — in Python. At first, small mistakes like typos and function naming issues slowed me down, but debugging them helped me understand recursion much better. 🔁 Key Learnings: • Importance of base conditions in recursion • How recursive calls build up the final result • Debugging is where real learning happens Seeing the Fibonacci output finally work (233 for n=13) was a satisfying moment! 🙌 Step by step, getting closer to mastering problem-solving and logic building. #Python #CodingJourney #Recursion #LearningByDoing #Debugging #100DaysOfCode #DeveloperLife #Programming #TechSkills

Day 8 of my LinkedIn Challenge Today I came across a resource that is really helpful with learning Python: 30-Days-of-Python Classes can sometimes feel fast-paced and a bit hard to keep up with, and it has really helped me and made things easier to understand and follow. It's a structured, step-by-step guide that covers everything from basics to more advanced topics, including statistics. Sharing in case it helps someone else too 🤍 Link: https://lnkd.in/dpKmYGtx

Day 19 of my 20 Day Linkedin Challenge I recently learned about loops in Python. Here’s the simplest way to understand them: A loop tells the computer to repeat something. Instead of writing the same instruction multiple times you write it once and let the loop handle the repetition. For example: If you want to print numbers from 1 to 10, You don’t write 10 separate lines. You use a loop. This matters because computers are great at repetition. Loops allow you to: - save time - reduce errors - handle large tasks efficiently It’s one of those concepts that seems small but it’s actually very powerful. #AfricaAgility #ArtificialIntelligence #Python #MachineLearning #GIT20DayChallenge

Learn how to access, unpack, loop, join, and more with tuples in Python — a quick guide to mastering this essential data type! 🎥 Watch here: https://lnkd.in/dpYuJNUp #Python #Coding #DataStructures #ProgrammingTips

#Day4–5 of My Python Journey | #100DaysOfCode Leveling up my Python basics step by step! 1. Learned about Type Casting (converting strings to integers) 2. Understood the difference between implicit vs explicit conversion 3. Explored how to handle user input using input() 4. Practiced taking multiple inputs and performing calculations One interesting learning Without type casting, numbers taken as input behave like strings (concatenation instead of addition). Small concept, but super important! Consistency is building confidence day by day Excited to dive deeper into Python and start building real projects soon! #Python #100DaysOfCode #CodingJourney #LearnToCode #Programming #TechLearning #DeveloperJourney

Learn how to calculate the sum of numbers in Python with ease As a beginner, mastering this basic operation can make coding much easier and efficient. With Python, you can add, subtract, multiply, and divide numbers to find their sum. Read the full article 👉 https://lnkd.in/dts3cvtE #PythonProgramming #ITFreshers #PythonTutorial #PythonForBeginners #SummingNumbers #TechLab Code. Learn. Build. — TechLab by Neeraj

🚀 DAY 8 – DRACCO Python Course Today, we dive into Data Structures (Lists) 🧠 Learning how to store and manage multiple values in one place. From simple data to structured collections, this is a big step forward. Understanding lists opens the door to more powerful Python programs. We’re building real skills, one step at a time 💡 #Python #LearnPython #DraccoResearch #CodingJourney

Tried testing my basics in Python through a quiz conducted at my college 🐍 I participated in a Python Quiz organized by the NDLI Club, which was a good way to check my understanding of core concepts 💡 What I gained from this: • Quick recall of Python fundamentals ⚡ • Better clarity on basic concepts 📘 • Exposure to problem-based questions 🧠 • Improved thinking speed ⏱️ Simple experience, but definitely useful in strengthening the basics 🚀 #Python #LearningJourney #CodingBasics #StudentLife #Upskilling #SKIT

ℙ𝕪𝕥𝕙𝕠𝕟 𝕊𝕥𝕣𝕚𝕟𝕘 𝕊𝕝𝕚𝕔𝕚𝕟𝕘 𝔻𝕣𝕪 ℝ𝕦𝕟 🐍 When working with Python, understanding how strings are manipulated is key. Many beginners get confused by how slicing ranges work—specifically the "start" and "stop" parameters. Can you perform a dry run of this code? #PythonProgramming #CodingChallenge #PythonDevelopers #LearnToCode #DataScience #SoftwareEngineering #PythonTips #CodingQuiz #TechCommunity #DryRun #ProgrammingLife #LinkedInLearning

What confused you the most when you started Python? Learning Python feels hard sometimes at the start… But every error you fix Every bug you understand Every small win you get Is building a stronger version of you. You’re not just learning code — You’re learning how to think. Keep going. It gets easier. If you're in that messy phase right now… Don’t quit. Don’t compare. This is part of the process. Keep showing up. You’re closer than you think. #Python #LearnPython #CodingJourney #BeginnerProgrammer #KeepLearning