Why TypeScript is an Enterprise Safety Net

Do you want to improve your development process? Learn how TypeScript acts as a safety net for companies. It catches bugs before they cause problems and helps team productivity. Learn about static typing and why TypeScript is a key tool for developers.

TypeScript improves development by stopping runtime errors with static typing. It makes code easier to maintain, helps team productivity, and allows for safe refactoring. It works well with modern tools and has native support in Node.js v23.6.0+. This makes it a key part of enterprise applications.

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DRAFT Streamlit async operations require careful h

Streamlit async operations require careful handling due to synchronous execution model

Streamlit’s architecture fundamentally relies on a synchronous, top-to-bottom execution model. It reruns scripts on each user interaction. This creates significant challenges for implementing long-running async tasks and background processes. While Streamlit does not officially support multithreading in application code as of 2025, the framework has made notable improvements. These include event loop reuse (v1.31+), async generator support in st.write_stream, and fragment-based partial updates that enable more sophisticated async patterns.

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Multi-Provider Chat App LiteLLM, Streamlit, and Mo

Ever dreamed of chatting with multiple AI models seamlessly? Discover how to build your own multi-provider chat app that connects ChatGPT, Claude, Gemini, and more—all in one conversation! Dive into the world of LiteLLM and Streamlit for a user-friendly experience.

Create a multi-provider chat app using LiteLLM and Streamlit to seamlessly connect various AI models like ChatGPT, Claude, and Gemini, enabling users to manage conversations and settings with minimal code.

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Streamlit Adventures Part 5

Streamlit Adventures Part 5

**Building a Real-Time File Monitor with Streamlit*A Tale of Synchronization, Queues, and Friendly BanterOn a sunny afternoon in Austin, Texas, Rick and Chris were lounging at their favorite coffee shop, laptops open, cups of coffee steaming. Their latest project, Meeting Buddy, was giving them a bit of a headache.***Rick:**Sipping his coffee “You know, Chris, the file drop synchronization just is not working as expected. The UI is not updating when new files are added.”Chris:“Yeah, I noticed that. It is like the UI is oblivious to the new markdown files we generate during meetings.”Rick:“Exactly! We need a way to have the UI respond in real-time as files are added or removed from the directory.”**Chris:**Grinning “Sounds like a job for the watchdog library and a bit of Streamlit magic!”Rick:“Agreed. Let us break it down and build a simple prototype that listens to a directory and updates the UI accordingly.”

They clinked their coffee mugs together, ready to embark on another coding adventure.

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Article Streamlit Part 3 - Form Validation Part 1

Article: Streamlit Part 3

Form Validation Part 1

A Roundhouse Kick into Streamlit Form Validation

Amid the rhythmic thuds of gloves hitting pads, Rick and Chris were immersed in their kickboxing class. Between combos, they exchanged thoughts—not just on perfecting their strikes but also on coding challenges. As they caught their breath, the conversation shifted to Streamlit and the importance of form validation.

Rick: Panting “You know, Chris, it’s like the saying ‘garbage in, garbage out.’ If I don’t validate the data properly in my Streamlit app, I can’t expect good results. I need to guard the gate and make sure only clean data gets through.”

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Streamlit Part 2 Layouts, Components and Graphs

Streamlit Part 2: Layouts, Components and Graphs

Gym Geeks: When Iron Pumping Meets Data Crunching

On a crisp morning at the local gym, Rick and Chris were lifting weights and discussing the next steps in Rick’s Streamlit journey. Amidst the clanking of dumbbells and the hum of treadmills, their conversation delved deeper into the world of Streamlit’s UI components. Rick and Chris, our favorite tech-obsessed gym rats, were at it again, discussing Streamlit components between sets of bench presses.

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Part 1 Conversation about Streamlit while walking

On a sunny afternoon, Rick and Chris were walking and chatting about Streamlit, a popular Python library for creating web applications. Their conversation flowed naturally, covering various aspects of this intriguing tool.

(This article originally appeared on 10/25/2024 on LinkedIN.)

Rick:“Hey Chris, I’ve been hearing a lot of buzz about Streamlit lately. So, what’s the scoop on it, especially when it comes to UI stuff? I’m toying with the idea of whipping up a CRUD app PoC with a slick interface. You think Streamlit’s the way to go for that kind of thing?”"Chris:“Oh, Streamlit is fantastic for that kind of project, Rick! It’s become quite popular for data apps and prototypes. The beauty of it is how it turns Python scripts into interactive web apps with minimal effort.”Rick:“That sounds promising. I am looking for a quick and dirty solution as a proof of concept. Hmmmm.. I wonder…. What kind of UI elements does it offer?”Chris:“Quite a range, actually. You’ve got your basic text elements like titles and headers, data display options for tables and metrics, and a variety of input widgets - buttons, sliders, text inputs, you name it. It even integrates well with data visualization libraries like Matplotlib and Plotly.”Rick:“Interesting. Are there any alternatives I should consider?”Chris:“Well, there’s Dash, which is also Python-based but more focused on analytical web applications. Or you could go the traditional route with Flask or Django paired with a frontend library, but that’s more complex.”Rick:“Got it. What about other languages? Any similar frameworks that simplify web development?”Chris:“Absolutely! If you’re into R, there’s Shiny. For Java developers, Vaadin is a great option. And if you’re looking to build desktop apps, Tauri and Electron are worth checking out.”Rick:“Thanks, that’s helpful. I think I will stick with Python for now. Can you walk me through the basics of how Streamlit works?”Chris:“Sure thing! Streamlit apps are basically Python scripts. You start by importing Streamlit, then use its functions to add widgets and layout elements. It’s reactive, so whenever an input changes, the script reruns from top to bottom, updating the app dynamically.”Rick:“That sounds straightforward. What about working with databases?”Chris:“While Streamlit doesn’t directly connect to databases, you can easily use Python’s database libraries. You’d typically use something like SQLAlchemy to connect to your database, run queries, and then display the results using Streamlit’s functions.”Rick:“And deploying a Streamlit app? How does that work?”Chris:“You’ve got several options there. Streamlit Cloud is the simplest - it connects directly to your GitHub repo. But you can also use services like Heroku, AWS Elastic Beanstalk, or even Docker if you prefer containerization.”Rick:“This has been really informative, Chris. Thanks a lot!”Chris:“Happy to help, Rick! If you have any more questions as you dive into Streamlit, don’t hesitate to ask. Happy coding!”

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PrivateGPT and LlamaIndex Revolutionizing AI Proje

In the dynamic world of AI development, PrivateGPT has emerged as a groundbreaking tool, offering a robust, private AI solution. Recently, I’ve integrated PrivateGPT into a project, enhancing it with custom jobs using LlamaIndex—a shortcut for implementing Retrieval Augmented Generation (RAG) support. PrivateGPT is remarkably easy to modify and extend. LlamaIndex serves as a shortcut for using LangChain to build RAG support, while PrivateGPT has been our go-to for building a backend tool for our GenAI needs. It allows us to effortlessly switch between vector stores and LLMs. This experience has been nothing short of transformative, highlighting the versatility and adaptability of PrivateGPT and LlamaIndex in real-world applications.

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