Sharing a demo of another small project I built using Python and Streamlit — a Seed Classification App 🌱 In this application, users can enter seed measurements like height, width, and thickness, and the system categorizes the type of seed based on these parameters. This project helped me understand how parameter-based classification logic and interactive UI components can be combined to build simple decision-support tools. It was a great exercise in turning numerical inputs into meaningful predictions using Python. Excited to keep building more data-driven applications! #Python #Streamlit #MachineLearningBasics #Classification #StudentDeveloper
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A chord diagram is a fun way to visualize connections in a dataset. It can show both which values are most connected and which have the fewest/most connections across the data. Python's holoviews library makes this fairly simple to create, though it requires a few additional steps, such as correctly orienting the text. Holoviews supports multiple backends, such as matplotlib and Bokeh, so it can export to a variety of formats, even interactive charts via HTML/JS. In a recent guide, I walk through how to create a chord diagram using a Pandas dataframe. Check it out: https://lnkd.in/g8t_-8F7 #DataAnalysis #DataVisualization #Python
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Built a quick tool to simplify text analysis! I got tired of switching between apps just to count words or check character formats, so I built a lightweight Text Analyzer to handle it all in one place. I kept the logic in Python and used Gradio for a clean, distraction-free UI. It’s simple, fast, and does exactly what it needs to do. Check it out here: https://lnkd.in/gD-sg6_c Any feedback on what feature I should add next? hashtag #Python #WordCounter
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Today I built a Mini Search Engine in Python. What started as a simple word finder evolved into a ranked search engine with: • Multi-file indexing • Multi-word search (AND logic) • Word frequency ranking • Highlighted results • Colored CLI output This project helped me strengthen my understanding of: Dictionaries and nested data structures File handling String processing Search logic and ranking Small consistent upgrades turned a basic script into a polished tool. Next step: turning it into a web-based search engine. #Python #Programming #SoftwareDevelopment #Learning
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A tiny Python trick I learned while using Claude Code While building an app with Claude Code, I noticed it repeatedly using a neat Python pattern I had somehow missed for years. d = {'A': 1, 'B': 2} e = {**d, 'A': 2} print(e) # {'A': 2, 'B': 2} This looks trivial. But the idea behind it is powerful: start from a default dictionary and selectively override fields. It’s a small trick, but it creates a very clean pattern for: ✅ Generating test cases ✅ Configuration overrides ✅ Scenario simulation Sometimes the most useful ideas are not big algorithms. They are small patterns that quietly make code cleaner. #pythonic #claudecode #claude #software #pythontricks #python
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Excited to share my latest project: Rule-Based Expert System! This is a Python-based rule system that recommends project ideas based on user interest and skill level. It demonstrates basic conditional logic and beginner-friendly decision-making in Python. Features: - Takes user input (domain & skill level) - Suggests relevant project ideas - Simple and interactive Check it out on my GitHub: https://lnkd.in/gvPRKg7M #Python #AI #MachineLearning #RuleBasedSystem #Project #Coding
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Want cleaner #Python code? Run this loop before every commit: format → lint → typecheck → test Miss a step? Bugs slip through. Do it manually? You'll forget. The fix: pre-commit hooks that block bad commits automatically. Free live session this Thursday with Julian Sequeira, Bob Belderbos and Juan José Expósito González — see the modern Python stack in action. 🐍 #Python #CodeQuality #SoftwareEngineering
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🪼 Jellyfish Classifier — from dataset to deployed app! 90% accuracy across 6 species on unseen test data. Swipe to see the full project → 🔗 Try it live: https://lnkd.in/g62ecYCZ 🔗 Git Hub: https://lnkd.in/gCXjTq5s #DeepLearning #MobileNetV2 #Streamlit #Python #ComputerVision #TensorFlow
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If you’re working with Python and want to master data validation, schemas, and FastAPI-ready models, this video is for you. Clear concepts. Practical examples. Zero confusion. Level up your backend skills with Pydantic Framework https://lnkd.in/gRGSqNmv #Python #Pydantic #FastAPI #BackendDevelopment #aiwiththiru
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Today I practiced the concept of Lists in Python by building a small menu-driven program to: • Add marks • Display all marks • Calculate total and average • Find highest and lowest marks Understanding how lists store and manage multiple values made me realize how powerful simple data structures are. Small concepts → Strong foundation. #Python #LearningJourney #CodingPractice
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Built a simple rule-based chatbot in Python, using Google colab notebook that simulates automated client responses using menu options and conditional logic. Small project, but seeing the conversation actually work was satisfying. Still improving it, what feature would you add next? #python #Automation #Techlearning #coding
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