Building Custom Chat Interface with Kivy and BoxLayout

Kivy Tutorial: Build Dynamic Forms with Custom Validation In the world of application development, user input is a cornerstone. Whether you're building a simple contact form, a complex registration system, or an order processing interface, the way users interact with your application through forms is critical to its success. In this tutorial, we'll dive deep into building dynamic forms with custom validation in Kivy, a powerful Python framework for rapid application development....

A few developers recently are reaching for Python in places that surprised me a bit. Embedded systems, mobile apps, infrastructure tooling - not the usual data and scripting territory it's known for. It's made me think about how far Python's footprint has actually spread, and where it genuinely fits vs where it's just... familiar. Places it makes complete sense: AI and data tooling: still its home turf, no argument there Backend scripting and automation: natural fit DevOps workflows: growing fast and largely works well Places it's turning up that raised an eyebrow: Mobile apps where performance overhead is real Embedded systems where memory constraints matter Frontend-adjacent tooling that probably wanted something else Not a criticism, Python is brilliant in the right context. But when a language gets big enough, momentum starts doing the decision-making. Developers and Python right now, (let the image do the rest) Curious what others are seeing - where's the most unexpected place you've come across Python recently?

Microsoft has released Agent Framework 1.0, calling it the production-ready milestone for its open-source agent-development platform spanning .NET and Python. The release formalizes Microsoft's effort to unify Semantic Kernel foundations with AutoGen-style orchestration in one framework, while separating the now-stable core from newer preview features such as DevUI, hosted agent integration, and expanded tooling support.

Kivy Tutorial: Mastering the TextInput for Enhanced User Input In the world of application development, user input is the cornerstone of interactivity. Whether you're building a simple calculator, a complex form, or a social media platform, the ability for users to provide information is paramount. Kivy, a powerful Python framework for rapid development of applications that make use of innovative user interfaces, offers a versatile widget for this very purpose: the TextInput....

🚀 Built & Deployed: URL Redirect Checker Web App 🔗 Live App: https://lnkd.in/e-x2gpPR I created a web-based tool to analyze bulk URL redirects using Python. Key features: ✔ Upload CSV with URLs ✔ Detect full redirect chains ✔ Capture final URL + HTTP status codes ✔ Parallel processing using ThreadPoolExecutor ✔ Download processed results Tech Stack: • Python • Pandas • Requests • Streamlit Deployed using Streamlit Cloud for easy access and sharing. This was a great hands-on project combining backend logic with a simple UI. Open to feedback and ideas for improvements! Note : file is in CSV Format and first row mention "url" and URLs mentioned after 1st row(start from 2nd row) #Python #Automation #Streamlit #Developers #Projects #BuildInPublic Test Automation Python Coding Automation Anywhere

Appium Python: A Complete Tutorial for Mobile App Automation ✅ What you'll learn from this tutorial: ✅ Why use Appium with Python ✅ Getting started with Appium, Python, Android Studio(Emulators) ✅ Writing the first test ✅ Running the test on Android Emulatpr locally ✅ How to run Appium Python tests on the TestMu AI's Real Device Cloud? Read the full article here: https://lnkd.in/dVWJ69d7 #Appium #Python #MobileTesting #TestAutomation #Tutorial

🚀 Python Developers — Want to Level Up Faster? Stop waiting for the “perfect” project idea. Start building daily. 💡 Here’s a simple strategy: Build small, basic projects every day to sharpen your skills and grow your portfolio. 🔥 Why this works: • Consistency beats intensity • You learn by doing, not watching • Small wins build real confidence • Your portfolio grows automatically 🛠 Project ideas to get started: • Day 1: Calculator app • Day 2: Password generator • Day 3: To-do list (CLI or GUI) • Day 4: Web scraper • Day 5: API data fetcher • Day 6: File organizer script • Day 7: Mini game (like number guessing) 📈 In just 30 days, you’ll have: ✔ 30 real projects ✔ Stronger problem-solving skills ✔ A portfolio that actually stands out Don’t aim for perfection — aim for progress. Start today. Build daily. Grow faster. 💻✨ #Python #100DaysOfCode #LearnToCode #Developers #CodingJourney #PortfolioBuilding

OpenAI has just acquired Astral, who have built some of my favourite open-source Python tools (uv and ruff). Uv is a package manager, and ruff is a linter and code formatter. This comes just months after Anthropic acquired Bun, a company that has developed an open-source runtime that replaces NodeJS. OpenAI also announced that they are merging Codex, ChatGPT and Atlas into a single desktop app, a similar approach to the one Anthropic has taken with the Claude desktop app. So what’s going on? OpenAI have realised that they have not been focusing on the coding tools market, allowing Anthropic to take the lead.

I used to write Python scripts… Now I’m building tools. There’s a big difference 👇 👉 Script = runs once 👉 Tool = reusable, flexible, scalable 💡 Today I built my first CLI tool using Python And it completely changed how I see development. 📊 What I learned: • Accept input from terminal • Pass dynamic arguments • Run logic based on user input • Build reusable commands 💡 Real-world use case: Instead of editing code every time… 👉 I can now run: python app.py --category Electronics 👉 And get filtered results instantly Before this: ❌ Hardcoded values ❌ Manual changes ❌ Not reusable After this: ✅ Dynamic execution ✅ Flexible commands ✅ Developer-level workflow 💡 Biggest realization: Good developers don’t just write code… 👉 They build tools that others can use 📌 This is how real dev tools work: • Git • Docker • CLI utilities 👉 Everything starts from this concept 💬 Let’s discuss: Have you ever built or used a CLI tool that made your work easier? 🔥 Hashtags #Python #PythonTutorial #CLI #DeveloperTools #PythonDeveloper #Automation #BackendDevelopment #CodingJourney #LearnInPublic #DevelopersIndia #Tech #100DaysOfCode #BuildInPublic

Hello connections Python is often praised for its simplicity, but its true power lies in advanced features that enable developers to write efficient, scalable, and elegant code. If you're looking to level up, here are some key concepts that define advanced Python programming. 1. Decorators – Writing Smarter Functions** Decorators allow you to modify the behavior of functions without changing their code. They’re widely used for logging, authentication, and performance monitoring. 2. Generators & Iterators – Memory Efficient Coding** Instead of loading entire datasets into memory, generators yield values one at a time. This is especially useful when working with large data streams. 3. Context Managers – Clean Resource Handling** Using `with` statements ensures proper acquisition and release of resources like files or database connections, making your code safer and cleaner. 4. Multithreading & Multiprocessing – Performance Boost Python provides powerful libraries to run tasks concurrently. While multithreading is useful for I/O-bound tasks, multiprocessing helps in CPU-bound operations. 5. Async Programming – The Future of Python With `async` and `await`, Python handles asynchronous operations efficiently, making it ideal for web applications and APIs. 6. Metaclasses – Controlling Class Creation** Metaclasses allow you to customize how classes themselves are created. Though complex, they are powerful tools in frameworks and libraries. 7. Type Hinting – Writing Maintainable Code Type hints improve code readability and help catch bugs early, especially in large-scale projects. Advanced Python isn't just about writing complex code—it's about writing *better* code. It improves performance, scalability, and maintainability, making you stand out as a developer. Don’t just learn Python—master it. The deeper you go, the more opportunities you unlock in fields like AI, backend development, and automation. #Python #AdvancedPython #Programming #SoftwareDevelopment #Coding #Learning #Tech #snsinstitutions #snsdesignthinkers#designthinking