Python Lists vs Tuples: Key Differences

Day 11/30 – Python 🐍 Today I learned about inheritance and how classes can reuse and extend functionality. Tried a few examples and understood how it helps in writing cleaner and scalable code. Concepts getting deeper 🔍 #Day11 #Python #CodingJourney #LearningInPublic

🚀 DAY 10 – DRACCO Python Course Today’s focus: Data Structures (Dictionaries) 🧠 Learning how to store and organize data using key–value pairs. From simple lists to structured data, we keep building. Dictionaries bring more meaning and flexibility to your programs. Another step closer to writing smarter Python code 💡 #Python #LearnPython #DraccoResearch #CodingJourney

I expected Python to feel like magic immediately. It didn't. What actually happened: - I spent 40 minutes on indentation errors - I wrote my first function and it felt oddly satisfying - I realized how readable Python is compared to what I imagined If you're also in the early stages — this is your sign to keep going. The confusion is part of it. What was YOUR first Python/AI moment? #Python #LearningInPublic #AIJourney #100DaysOfCode #PakistanTech

Day 6/30 – Python 🐍 Today I learned about tuples and sets understood the difference between mutable and immutable data types. Practiced a few examples and got clearer on when to use each. Concepts getting stronger day by day 💪 #Day6 #Python #CodingJourney #LearningInPublic

Day 4/30 – Python 🐍 Today I learned about lists in Python how to store multiple values and perform operations like append, remove, and slicing. Practiced a few problems and started understanding how powerful data structures can be. Getting better every day 📈 #Day4 #Python #CodingJourney #LearningInPublic

Day 5/100 – Python Today I worked on swapping two numbers in Python. At first, it looked like a simple problem, but it actually helped me understand an important concept — how to move data without losing it. I explored two approaches: 🔹 Using a third variable (temporary storage) 🔹 Swapping directly using Python’s tuple unpacking What I learned today: ✔ Importance of preserving data before overwriting ✔ How execution order affects the result ✔ Cleaner and more efficient ways to write code in Python ✔ Understanding how Python handles multiple assignments internally #100DaysOfCode #Python #DSA #ProblemSolving #LearningInPublic

Day 5/30 – Python 🐍 Today I explored dictionaries in Python learned how to store data using key-value pairs and access/update values efficiently. Tried a few small programs and understood how useful dictionaries are for real-world data handling. Step by step progress 🚀 #Day5 #Python #CodingJourney #LearningInPublic

(DAY - 8) 🚀 Understanding String Operators in Python If you're starting your journey in Python, mastering string operators is essential! In this post, I’ve explained how we can use operators like +, *, in, and not in to manipulate and work with text efficiently. From combining strings to checking data presence, these operators play a key role in writing clean and powerful Python code. 🧑💻 💡 Save this post for quick revision and share it with others who are learning Python! #Python #Coding #DataAnalytics #ProgrammingBasics #LearnPython #TechLearning #CodingJourney

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

Day 5 – Python Deep Dive 🚀 Topic: Type Checking Example: x = 10 print(type(x)) 👉 Key takeaway: Understanding types helps prevent bugs. Also explored: isinstance() #Python #Debugging