Hey Everyone ! I have Just Finished a simple #python Script To understand huffman's algorithm In case Anyone Interested In learning Read this Below * Huffman’s algorithm is a way to compress data (make it smaller) by using shorter codes for frequent characters and longer codes for rare ones. And The steps Are : > Count frequency of each character in the data. > Build a tree > Assign binary codes > Encode the data Wanna Check the Code? Here is my github repo : https://lnkd.in/dAi7cqZf Have a Great Day Guys ! Any questions Feel free to ask me. hashtag #Algorithms hashtag #DataStructures hashtag #ComputerScience

Back to Basics: If you can't name the difference between a list and a tuple, are you really ready for complex projects? 😉 Today, I took a step back from the fancy stuff and did a deep dive review of the most fundamental concept in Python: Data Types. It sounds simple, but knowing exactly when to use a mutable list (like a shopping list you can change) versus an immutable tuple (like the coordinates of a fixed location) saves headaches, memory, and time down the road. I'm firming up my understanding of: Sequences: str, list, tuple (mutable vs. immutable matters!) Mapping: dict (for powerful key-value relationships) Sets: set (perfect for finding unique items) Boolean: True / False (the core of all logic!) The strongest buildings have the deepest foundations. Time to make sure mine is rock solid before moving to the next chapter! 🧱 What's one foundational concept in tech or data that you still review regularly? Let me know! 👇 #Python #Programming #DataScience #TechSkills #CodingFundamentals #BackToBasics #Learning

#100DaysOfCode #Day2 Day two was all about understanding data types and manipulating strings in Python. I explored how to work with numbers and f-strings, convert between data types, apply mathematical operations (PEMDAS, popularly known as BODMAS in this part of the world), and even built a BMI Calculator and a Tip Calculator for restaurants. Beyond the code, here are a few life lessons I drew from it: The right type matters. Just as data types determine the kinds of operations that can be performed, in life, not every approach or mindset fits every situation. Wisdom is knowing what type fits the moment. Accuracy over assumption. A single wrong data conversion can throw off your whole calculation, just like one unchecked assumption can distort your perspective. Small steps lead to big functions. Each line of code I wrote contributed to something meaningful. Consistency still beats intensity every single time. In the end, I realized that coding teaches patience and structure, but it also mirrors life itself: when you understand the logic, you can begin to shape better outcomes both on screen and off it. #python #productivity

Presentation Generator! Tired of spending hours on slides? We built a tool that automates the entire process: simply input a topic and key headings, and our custom app uses a Language Model (LLM) to generate 3-5 concise, relevant bullet points for each slide. The magic? We connect Python’s Transformers (for text generation) directly to the python-pptx library (for slide creation), all wrapped in a clean Gradio UI. The final output is a downloadable, ready-to-present .pptx file! This is the essence of AI Automation applied to workplace productivity. #CodeMeetIntelligence #AIPresentation #AIAutomation #LLMs #Python #ProductivityHacks #DeepLearning #CodingProjects #FutureOfWork #Gradio

“𝐖𝐚𝐢𝐭… Did I just 𝐭𝐮𝐫𝐧𝐞𝐝 𝐚 𝐯𝐢𝐝𝐞𝐨 𝐢𝐧𝐭𝐨 𝐀𝐒𝐂𝐈𝐈?!” 🤯 What happens when a programmer gets bored of watching normal videos? They make the video watch itself — in text. Introducing 🅰🆂🅲🅸🅸🅵🆈 — my Python script that says: “Why use pixels when you can suffer with ASCII characters?” It literally turns videos into moving text art — right inside your terminal. Built with: Python + OpenCV + NumPy Features: 🔹 Real-time playback 🔹 Custom width (for when you want widescreen… in text 😂) 🔹 0% productivity, 100% coolness Watch your video become a masterpiece of symbols, dots, and chaos: 👉 GitHub: https://lnkd.in/e3jG6pCt #Python #OpenCV #ASCIIArt #DataScience #Coding #Innovation #DeekshitaNaik #GitHubProjects #PythonDeveloper #ASCIIArt #CodeHumor #TerminalThings #DevLife #FunProjects

Day 8 of 90-Day Python & AI Journey: Mastered the Art of the Loop! 💪 Just wrapped up a crucial day focusing on Loops (For & While)—the true engine of automation in Python. If you want to process data, automate tasks, or train an AI model, you need to master iteration! Highlights from Day 8: ✅ Deep dive into for loops to iterate over sequences (range() and lists). ✅ Learned essential flow control with break (stop) and continue (skip). ✅ Built a practical Even & Odd Number Finder mini-project using conditional logic inside a loop. ✅ Solidified my understanding of the while loop for condition-based repetition. Every single line of code, concept explanation, and organized folder structure is designed to be clean, industry-standard, and portfolio-ready—because learning is about more than just coding; it's about presentation! Looking forward to Day 9: Python Functions, where I'll transition to modular, reusable code. Onward to mastery! 💡 📂 View the Code & Portfolio This milestone, complete with its organized README.md and working code, is ready for review. 🔗 GitHub Repository: [https://lnkd.in/eJBDAWvX #Python #AI #MachineLearning #DataScience #CodingJourney #GitHub #Portfolio #JobanjitSingh #Automation

🚀 Just wrapped up a deep‑dive into NumPy and Python functions! 📊💻 🔹 Built arrays, checked shapes & dimensions, and explored broadcasting. 🔹 Wrote reusable functions – from Fibonacci & grade calculators to life‑phase checkers. 🔹 Played with random data, slicing, and basic stats (mean, var, std). Big shout‑out to the open‑source community for making data‑science so approachable. #Python #NumPy #DataScience #Coding #LearningInPublic

📅 DAY 1: The Discovery So I'm diving into Data Science, and everyone kept telling me "learn NumPy first." Honestly? I didn't get the hype at first. It's just arrays, right? Wrong. Spent the last few hours with it, and it clicked. NumPy isn't just a library—it's the backbone. Literally everything in data science (pandas, sklearn, TensorFlow) is built on top of it. Here's the thing that got me: This simple array? It runs 10-100x faster than a Python list. Why? Because under the hood, it's written in C and stores data in continuous memory blocks. That's not just "a bit faster." That's the difference between a 10-second operation and a 10-minute wait when you're working with real data. Starting to see why this matters. More tomorrow on what I'm learning 👇 #DataScience #Python #NumPy #LearningInPublic