Python with GenAI: Streamlit and API Fundamentals

As developers, our most valuable asset is Time. Why write 100 lines of code when a library can do it in 1 line? I curated 10 Python libraries that I use to build AI apps faster and better. Here are my top picks from the slides: Streamlit: Turned my Python scripts into web apps instantly. No HTML needed. Rich: Because staring at black-and-white terminal logs is boring. Icecream: The smartest way to debug (Goodbye print("test")) Typer: Building CLIs has never been this beautiful. (Swipe through the carousel to see all 10 gems 👉) 💡 Pro Tip: If you are building data apps, Streamlit is a non-negotiable tool in 2026. #Python #SoftwareEngineering #Productivity #AI #DataScience #CodingBestPractices #MuthukumarPl #CodeWithMK

Why is Python so popular? 🤔 It’s the language powering everything from AI to web development. This high-level, easy-to-learn language is perfect for beginners and pros alike. Key features: ✍️ Simple Syntax: English-like and beginner-friendly. 🧠 Dynamically Typed: No need to declare variable types. 🚀 Cross-Platform & Open Source: Works everywhere and is free to use. From data science to automation, Python is a versatile powerhouse. Just remember to watch your indentation! #Python #Programming #Coding #AI #DataScience #WebDev

🚀 Weight Prediction App using Streamlit Built a simple Machine Learning + Streamlit web app that predicts weight based on height (in feet). This project helped me understand ML model integration and web app deployment using Streamlit. 💻 Tech Stack: Python | Machine Learning | Streamlit #MachineLearning #Python #Streamlit #DataScience #LearningByDoing

🌟 Day 05 — Python for GenAI - Loops in Python 🔁 Code • Read • Build Once your program has data, the next problem is simple: How do you repeat logic without repeating code? That’s where loops matter. Real programs don’t run once. They repeat, pause, stop, and react to users. What we worked on today 🔹 for loops → when you know what to iterate 🔹 while loops → when conditions control repetition 🔹 Stopping loops with break 🔹 Skipping steps with continue 🔹 Looping through lists, ranges, and sequences 🔹 Using nested loops for structured tasks Practice that builds intuition ✔ Number sequences & even/odd checks ✔ Countdown timers ✔ Searching inside lists ✔ Multiplication tables with nested loops ✔ Smarter loops using enumerate, zip, and for/else Not just how loops work — but when to use which one. Mini Project 🚀 Number Guessing Game (CLI) The program: Thinks of a number, Accepts user guesses, Gives hints (higher / lower), Tracks attempts Lets the user play again Loops power the entire flow. This is where repetition turns into interaction. ⏱ ~1 hour Hands-on > theory. Always. 🔗 GitHub: https://lnkd.in/guMHvCni #Python #GenAI #Day05 #LearningInPublic #Loops #CLIProject

Looking to master Python in 2026? Here is the blueprint. 📍 Python is versatile, but its vastness is exactly what makes it intimidating. I’ve put together/curated this roadmap to streamline the process. The Key Pillars: Foundations: Logic, Data Types, and Loops. Efficiency: Functional programming and List Comprehensions. Professional Grade: OOP, Decorators, and Testing. Specialization: [Insert your niche, e.g., FastAPI, Pandas, or AI]. Save this post if you're planning to level up your dev skills this year! 🚀 #SoftwareEngineering #PythonDeveloper #TechCommunity #LearningPath

Text-to-Speech with Python 🎙️🐍 Ever wondered how simple it is to make your Python application talk? With just a few lines of code and the pyttsx3 library, you can convert plain text into natural sounding speech completely offline. This is a great building block for: • Accessibility features • Virtual assistants • Games and interactive apps • Voice-enabled learning tools Sometimes, small snippets of code unlock powerful user experiences. 🚀 Keep experimenting, keep building. #Python #TextToSpeech #Programming #Accessibility #AI #SoftwareDevelopment #LearningByBuilding

The wait is over—Analytica 7.0 is here, and it's a game-changer. For the first time, you can seamlessly integrate Python's vast ecosystem of libraries directly into your Analytica models. Whether you want to tap into machine learning frameworks, create specialized visualizations, or leverage third-party tools, you can now write Python code right inside Analytica variables and functions. Mix and match languages based on what works best for each task, while still enjoying Analytica's visual influence diagrams, automatic dependency tracking, and intelligent array handling. Python developers will love using Analytica as an interactive development environment, while Analytica modelers gain instant access to thousands of powerful libraries. #software #analytics #decisionmodeling #riskmanagement #Python

FastAPI is the modern Python framework powering APIs at Netflix, Uber, and Microsoft. Yet many developers still build APIs with manual setup and minimal documentation. I just built a RAG API with FastAPI that answers questions by searching through documents! 🚀 Here’s what I did: Built an AI-powered API with FastAPI Used ChromaDB for vector search and Ollama for a local LLM Generated automatic API documentation with Swagger UI Anyone else building AI APIs with FastAPI? Huge thanks to @NextWork for the awesome project guide. Check out my work and documentation here: https://lnkd.in/dx_hNpGc #FastAPI #RAG #AI #Python #API #NextWork

FastAPI is the modern Python framework powering APIs at Netflix, Uber, and Microsoft. Most developers still build APIs with manual setup and basic documentation. I just built a RAG API with FastAPI that answers questions by searching through documents. Check out my documentation for the step-by-step process 👇 ✅ Built an AI-powered API with FastAPI ✅ Used Chroma for vector search and Ollama for local LLM ✅ Generated automatic API documentation with Swagger UI Anyone else building AI APIs with FastAPI? Huge thanks to @NextWork for this awesome project guide. Check out my work at NextWork: https://lnkd.in/gafRQR8W #FastAPI #RAG #AI #Python #API #NextWork

I built a lightweight Python tool that turns any line plot into an animated GIF by progressively revealing the data from left to right. It’s designed to visualize how a time series evolves over time, without rescaling or visual jitter. The tool supports both y-only and (x, y) inputs, includes an optional time cursor. Simple idea, but surprisingly effective for telling data stories visually. Code: https://lnkd.in/ePyt8B6u video: https://lnkd.in/eM4p2wQm Follow Bernard Akaawase for more content