#PythonLearningJourney | Day 3 ⚙️ Hi everyone! I couldn’t post for the last few days, but I’m back to continue my Python learning journey. 💪 Today, I learned about Arithmetic Operators in Python — they are used to do basic math in programs. 🎯 Topic: Arithmetic Operators 🧠 What I Learned: Python has different arithmetic operators: 1️⃣ + → Adds two numbers 2️⃣ - → Subtracts one number from another 3️⃣ * → Multiplies two numbers 4️⃣ / → Divides and gives the full result (with decimals) 5️⃣ % → Gives the remainder of a division 6️⃣ ** → Used to find powers (like 2³ = 8) 7️⃣ // → Divides and gives only the whole number part 💻 Practice: I tried small programs using these operators with different numbers. It was fun to see the difference between / (which gives a decimal) and // (which gives only the whole number). Learning these basics is helping me understand Python better day by day with 10k Coders. 🚀 #Python #10kCoders #LearningJourney #FullStackDevelopment #Coding #Operators #Growth
Learning Arithmetic Operators in Python with 10k Coders
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🧠 What Python’s print() taught me about communication Yesterday, while learning Python, I discovered something simple — the print() function. At first, it just felt like a way to show text on the screen. But then I explored the sep and end parameters… and it clicked. It’s just like how we communicate in real life. 😄 When we talk, the pauses between our words decide how clearly people understand us — that’s our sep. And the way we finish a sentence sets the tone — that’s our end. Example 👇 print("Hello", "World", sep="-") # Output: Hello-World print("Learning Python", end="...Keep Going 💪") # Output: Learning Python...Keep Going 💪 Even a simple print() reminded me — communication isn’t just about what we say, it’s about how we connect and how we end things. If you could add your own sep and end in daily life, what would they be? 😄 #Python #LearningJourney #StorytellingWithCode #DataScience #LifelongLearning #CodingStories
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🚀 Day 6 of My Python Learning Journey – Lists, Tuples & Strings 🐍 Today was all about exploring Python’s most essential data structures — Lists, Tuples, and Strings! Each of these plays a huge role in storing, organizing, and manipulating data efficiently. Here’s what I practiced today: ✅ Creating and modifying lists (add, remove, sort, reverse) ✅ Understanding mutable (list) vs immutable (tuple) types ✅ Accessing elements using slicing and indexing ✅ String operations like splitting, joining, counting, and checking palindromes ✅ Writing 15+ practice questions to strengthen logic and syntax 💡 Every day, I’m realizing how Python’s simplicity hides incredible power — and mastering these basics is setting a strong foundation for the next steps in data structures and algorithms. #Python #100DaysOfCode #CodingJourney #PythonLearning #Programming #Lists #Tuples #Strings #DataStructures #LearningByDoing
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🚀 Turning Simple Code into Playful Learning Number Guessing Game in Python — a minimalist reminder that programming doesn’t always have to be about frameworks, APIs, or machine learning models. Here’s what’s happening inside: 🎯 The game picks a random number between 1 and 100. 🤔 The player keeps guessing until they hit the right one. 💡 Each wrong guess gets a hint — “Too high!” or “Too low!” 😅 And yes, it politely (sort of) reminds you to input actual numbers. It’s simple, interactive, and perfect for teaching beginners about loops, conditionals, exception handling, and user input. Sometimes, the best way to learn programming is to play with it. #Python #Coding #LearningByDoing #DeveloperJourney #Innovation
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🚀 Exploring Python List Comprehension! 🐍 Recently, I worked on a few interesting Python programs using list comprehension — a concise and efficient way to create and manipulate lists. Through this project, I implemented tasks like: ✅ Printing alphabets using ASCII values ✅ Finding palindrome numbers between 1–100 ✅ Flattening nested lists into a single list ✅ Extracting words that start with a specific letter This exercise helped me understand how Python simplifies loops and conditions into one elegant line of code! 💡 #Python #Coding #ListComprehension #Learning #AI #Programming #Develope #10000coders 10000 Coders Ajay Miryala
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Master Python loops in just 15 seconds! ⏱️ Learn the difference between for loops and while loops — the two most powerful tools for repetition in Python. Perfect for beginners, students, or coders preparing for interviews. --- 🧠 What You’ll Learn: ✅ What a for loop does in Python ✅ How a while loop works ✅ Real examples with code output ✅ Fast learning in just 15 seconds! --- 💻 Code Shown in Video: # For Loop for i in range(5): print(i) # While Loop count = 0 while count < 5: print(count) count += 1 --- 🔥 Want to learn Python faster? 🎓 Check out my other shorts → [Your Channel Name or Playlist Link] 📩 Subscribe for Daily Python Shorts, AI Tips & Coding Hacks! 👉 Yash Mamoria #Python #Shorts #LearnPython #PythonLoops #PythonTutorial #ForLoop #WhileLoop #PythonBeginner #Coding #Programming #CodeShorts #PythonTips #PythonLearning #DeveloperLife #CodeNewbie #PythonForBeginners #TechShorts #PythonCoding #PythonBasics
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📒 Python Learning Log: Mastering Iterators with enumerate() and zip() Continuing my learning journey with #DataCamp's "Python Toolbox" course. Today's module, "Playing with Iterators," was a fantastic deep dive into two incredibly useful functions: enumerate() and zip(). Here’s what I learned: 🔹 enumerate(): This function is a game-changer for for loops. Instead of manually creating and incrementing an index counter (like i = 0 and i += 1), enumerate() elegantly provides both the index and the value at the same time. 🔹 zip(): As the name suggests, this function "zips" together multiple iterables (like lists). It pairs up elements from each list based on their position, allowing you to loop over them in parallel. It's satisfying to see how these built-in tools can simplify complex tasks. On to the next module! #Python #DataScience #LearningJournal
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Today I finally wrapped my head around recursion in Python. It has always felt like one of those concepts that looks simple on the surface but becomes confusing the moment you try to explain it out loud. To test my understanding, I built a simple Palindrome Checker. A palindrome is a word that reads the same forward and backward. Examples include “racecar,” “level,” and “mom.” Here’s what finally made recursion click for me: Recursion is when a function solves a problem by breaking it down into a smaller version of the same problem, then calls itself to handle that smaller piece. Each call gets the problem closer to a point where it’s easy to answer. For the palindrome logic: 1. If the word is very short, it’s automatically a palindrome. 2. If the first and last letters don’t match, then it’s not a palindrome. 3. If they do match, you remove those letters and ask the same question again on the middle section of the word. It keeps doing this until there’s nothing left to check. At that point, you have your answer. Building this small project helped me understand it in a practical way. It was one of those “now I finally get it” moments in my learning journey, and I’m glad I took the time to explore it properly. #python #recursion #learninginpublic #computerscience #codingjourney #programming #softwaredevelopment #100daysofcode #techskills #pythonlearning
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⚙️ Day 3 of my 30-Day Python Mastery Challenge! Today, I explored one of the most exciting fundamentals — operators in Python! 🧮 Arithmetic, comparison, logical, and assignment operators are the tools that make Python think and calculate. Here’s a quick example I practiced: a = 10 b = 3 print("Sum:", a + b) print("Power:", a ** b) 🧠 Key Takeaways: • Operators are the core of logic and calculations in any program. • Logical operators help in decision-making. • is and in make comparisons more powerful and readable. Up next → Day 4: Input and Output in Python! #Day3 #Python #PythonLearning #LearnToCode #CodingJourney #PythonForBeginners #100DaysOfCode #DevOps #Programming #SoftwareDevelopment #CodeNewbie #WomenInTech #TechJourney #DevelopersCommunity #PythonDeveloper #DataScience #AI #MachineLearning #CodingLife #CodeDaily #JaswanthLearnsPython
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Day 2/90 I thought I could cram my way into learning Python…spoiler: “it did not work.” I remember when I first started learning Python, I thought cramming was the way forward. I tried to memorize everything,every keyword, every function, every bracket. I even struggled with remembering which brackets were used where, curly for dictionaries, square for lists,it was a whole battle! But guess what? That approach did not work. The real way to learn is simple: Know it. Practice it. Break it. Fix it. If I could go back to my first week learning Python, I would tell myself: •Don’t try to memorize everything, focus on understanding. Yes, you will make mistakes and that is okay. Every error taught me something new and every failed run made me better. Every time I stopped memorizing and started experimenting, things began to click. The more I did, the more I understood. So if you are just starting out, do not stress about getting it all right immediately. Just keep coding, keep learning and it will make sense one day. 💪 #Python #LearningJourney #DataEngineering #Programming #CareerGrowth #coding
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🐍 Python Learning –Day2 : Strings & Conditional Statements Today I continued my Python journey by diving into Strings and Conditional Statements, and it turned out to be a really insightful session. 🔤 Strings I spent time understanding how Python handles text — from concatenation to checking length, and even slicing different parts of a string. Negative indexing was something I never paid much attention to before, but it actually makes a lot of sense now. String methods like capitalize(), count(), find(), and replace() also showed me how powerful and flexible Python is when working with text. 🔎 Conditional Statements I revisited the basics of if, elif, and else. It’s interesting how these simple conditions form the backbone of decision-making in any program. Once the logic clicks, it really feels like you're teaching the computer how to “think.” Overall, today’s learning felt smooth and satisfying. Loving how Python becomes clearer with every small step. 🚀 #Python #CodingJourney #LearningInPublic #ProgrammingBasics #100DaysOfCode
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