#Streamlit Data Editing Widget

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#Streamlit Data Editing Widget Reel by @imaginaryover2 - This checkbox changed EVERYTHING : Streamlit day 12 Make your Streamlit apps smarter and more interactive with the humble, yet powerful, st.checkbox
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@imaginaryover2
This checkbox changed EVERYTHING : Streamlit day 12 Make your Streamlit apps smarter and more interactive with the humble, yet powerful, st.checkbox widget! ✅ In this video, we’ll explore exactly how to use Streamlit’s checkbox to create dynamic, responsive Python web apps. Whether you’re looking to toggle features on and off, show or hide elements, or trigger specific actions based on user interaction — st.checkbox is one of the simplest yet most effective tools in your Streamlit toolkit. #python #pythonchallenge #streamlit #30daysofstreamlit #webdevelopment #pythonwebdevelopment #coding #programming #code #website #data #datascience #vscode
#Streamlit Data Editing Widget Reel by @streamlit.io - 🔗 Want to add more fun to external links in your apps? Introducing st.link_button! Display a button that when clicked, opens a new tab to a specifie
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@streamlit.io
🔗 Want to add more fun to external links in your apps? Introducing st.link_button! Display a button that when clicked, opens a new tab to a specified URL. Learn more in the docs: https://buff.ly/455ORCg Demo: https://buff.ly/3thlKyy . . . . . #streamlit #release #link #button #widget #url #webpage #webapp #python #code #data #developer #pydev #datascience #ml #ai
#Streamlit Data Editing Widget Reel by @jomartalks - yeah these schools def paid them off smh #chatgpt #ai #study
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@jomartalks
yeah these schools def paid them off smh #chatgpt #ai #study
#Streamlit Data Editing Widget Reel by @techwithnt (verified account) - 1. The "Cost-Control" Smart Model Router (The Infrastructure Project) The Problem: GPT-4o is brilliant but costs a fortune. Llama 3 8B is cheap but ca
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@techwithnt
1. The “Cost-Control” Smart Model Router (The Infrastructure Project) The Problem: GPT-4o is brilliant but costs a fortune. Llama 3 8B is cheap but can’t handle complex reasoning. Companies are burning money using the most expensive model for every task. The Full-Stack Solution: 1. Backend: A single, custom API endpoint built with FastAPI. This is the only thing your “user” (another developer) talks to. 2. AI Core: This is the magic. When a prompt arrives at your API, it’s first sent to a tiny, fast classifier model (like a fine-tuned Phi-3). This “router agent” classifies the prompt’s difficulty (e.g., simple_summarization, complex_code_gen). 3. Based on that tag, your API backend routes the prompt to the right model: Phi-3 for simple, Llama 3 70B for medium, and GPT-4o for hard. 4. Data/Infra: A simple database (like PostgreSQL) to log every request, the “difficulty” tag, and the cost saved. _____ 2. The “RAG Pipeline Optimizer” (The MLOps Project) The Problem: Every company has a RAG (Retrieval-Augmented Generation) system. Almost no company knows if their RAG is good. Is chunk_size=512 better than 1024? Is Cohere-v3 a better embedder than BERT for their data? They’re just guessing. The Full-Stack Solution: 1. Frontend: A Streamlit or React app where a user uploads their documents (e.g., all of a company’s HR policies). 2. Backend: A FastAPI server. When the user asks a question, the backend runs 4 RAG pipelines in parallel with different chunking/embedding/reranking strategies. 3. AI Core: An “evaluator” agent (using GPT-4o as a judge) that scores the outputs from all 4 pipelines on “accuracy,” “relevance,” and “cost.” 4. Data/Infra: A dashboard that visualizes the results, showing the user: “For your data, Pipeline C is 20% more accurate and 10% cheaper.” Deployed with Docker on Render. ____ (Follow for more such ideas) 3. The “Autonomous Codebase Documenter” (The AI Agent Project) The Problem: Every software company on earth has a massive, complex codebase with zero documentation. New engineers take 6 months to become productive because they don’t know what anything does. 1. Frontend…. (Instagram caption has a word limit, continued in the comments 🥹)
#Streamlit Data Editing Widget Reel by @imaginaryover2 - I Made a Form in Streamlit in 30 Seconds : Streamlit day 22 Welcome to the playlist where I explore everything inside Streamlit - the easiest way to
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@imaginaryover2
I Made a Form in Streamlit in 30 Seconds : Streamlit day 22 Welcome to the playlist where I explore everything inside Streamlit – the easiest way to build interactive, data-driven web apps with pure Python. 🚀 If you’re into Python programming, web development, data science, machine learning, AI, computer engineering, or computer science, this channel is for you. I publish short, focused tutorials that showcase Streamlit’s components, layouts, customization options, and hidden tricks — so you can quickly learn how to: ✅ Build interactive apps and dashboards ✅ Replace Jupyter Notebooks with dynamic, shareable apps ✅ Create simple alternatives to Django or Flask for rapid prototyping ✅ Connect Python to data, APIs, and AI models with clean UIs ✅ Design projects with modern, responsive layouts and themes On this channel, you’ll find: 👉 Step-by-step guides to every Streamlit widget (st.button, st.slider, st.text_input, etc.) 👉 Tips for building AI apps, ML dashboards, and data visualization tools 👉 Deployment strategies for sharing apps with teams, clients, or the world 👉 Inspiration to use Streamlit as your go-to framework for Python projects Integrates seamlessly with Python libraries like Pandas, NumPy, Matplotlib, TensorFlow, PyTorch, Hugging Face, and more Whether you’re a student exploring data science, a researcher sharing ML results, a developer building AI apps, or just someone curious about turning Python into powerful web apps, Streamlit makes the process fast, fun, and intuitive. 📌 Subscribe if you want to master Streamlit one step at a time — I’m covering every single feature so you’ll have the complete toolkit to build apps for AI, data, and any Python-based project. 🔔 Don’t miss the next tutorial — new Streamlit Shorts drop regularly! #Python #Streamlit #DataScience #AI #MachineLearning #WebDevelopment #ArtificialIntelligence #React #DjangoAlternative #ComputerScience #ComputerEngineering #JupyterNotebookAlternative #PythonProjects
#Streamlit Data Editing Widget Reel by @dsdtedu - Hear from Byron Martin! After graduating from the AI Prompt Specialist program at DSDT College, Byron is putting his skills to work and making moves.
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@dsdtedu
Hear from Byron Martin! After graduating from the AI Prompt Specialist program at DSDT College, Byron is putting his skills to work and making moves. His success shows what’s possible when talent meets the right training. 👉 Want to explore the world of AI https://link.elite360.io/widget/form/T2ojK6uD7syUy4m3ebQH?notrack=true #DSDTCollege #StudentTestimonial #AITraining #DSDTProud
#Streamlit Data Editing Widget Reel by @motivationsuccessnetwork - Want to save time and grow your business faster? I put together a free PDF with my Top 5 AI tools that help me write content, create graphics, follow
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@motivationsuccessnetwork
Want to save time and grow your business faster? I put together a free PDF with my Top 5 AI tools that help me write content, create graphics, follow up with leads, and stay organized — without the stress or guesswork. If you're building a brand, running a business, or just tired of doing everything manually… this is for you. Just drop your name and email at the link below and I’ll send it straight to your inbox. No fluff — just tools that actually work. 👉 https://api.leadconnectorhq.com/widget/form/hCUPJaJPnZ0SN8J9atiQ?notrack=true And… don’t miss our next Epic Talks event happening this month! Whether you're attending in person or tuning in online, it's an experience you don't want to miss. Grab your ticket here → https://epictalksmiami.com Let me know which tool is your favorite once you dive in! #WorkSmarter #EpicTalks #EntrepreneurLife #BusinessTips #AIForEntrepreneurs #EpicTalksCommunity
#Streamlit Data Editing Widget Reel by @imaginaryover2 - You'll never code a web app the same way : Streamlit day 11 Unlock the full potential of your data apps with Streamlit's Multiselect widget! 🎯 In t
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@imaginaryover2
You'll never code a web app the same way : Streamlit day 11 Unlock the full potential of your data apps with Streamlit’s Multiselect widget! 🎯 In this video, we dive deep into how you can use st.multiselect to give your users the power to choose multiple options at once — whether you’re building a data dashboard, filtering a dataset, or creating an interactive tool. I’ll walk you through everything from the basics to advanced tricks, including: ✅ Setting default selections ✅ Handling and processing user choices in real-time ✅ Connecting Multiselect to Pandas for dynamic filtering ✅ Styling and enhancing your app’s UX By the end of this tutorial, you’ll be able to integrate st.multiselect into your own projects like a pro, making your Streamlit apps more interactive, intuitive, and user-friendly. 📌 Perfect for: Data scientists, Python developers, and anyone who wants to build sleek, interactive web apps — without touching HTML, CSS, or JavaScript. 💻 Code examples included so you can follow along step-by-step! #python #pythonchallenge #streamlit #30daysofstreamlit #webdevelopment #pythonwebdevelopment #coding #programming #code #website #data #datascience #vscode
#Streamlit Data Editing Widget Reel by @imaginaryover2 - 4 Web Apps You Can Make with Just Python : Streamlit day 20 #python #coding #programming Welcome to the playlist where I explore everything inside St
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@imaginaryover2
4 Web Apps You Can Make with Just Python : Streamlit day 20 #python #coding #programming Welcome to the playlist where I explore everything inside Streamlit – the easiest way to build interactive, data-driven web apps with pure Python. 🚀 Streamlit is an open-source framework that allows you to transform any Python script into a beautiful, production-ready web application in minutes. With just a few lines of code, you can create dashboards, AI interfaces, machine learning demos, and interactive tool. If you’re into Python programming, web development, data science, machine learning, AI, computer engineering, or computer science, this channel is for you. I publish short, focused tutorials that showcase Streamlit’s components, layouts, customization options, and hidden tricks — so you can quickly learn how to: ✅ Build interactive apps and dashboards ✅ Replace Jupyter Notebooks with dynamic, shareable apps ✅ Create simple alternatives to Django or Flask for rapid prototyping ✅ Connect Python to data, APIs, and AI models with clean UIs ✅ Design projects with modern, responsive layouts and themes On this channel, you’ll find: 👉 Step-by-step guides to every Streamlit widget (st.button, st.slider, st.text_input, etc.) 👉 Tips for building AI apps, ML dashboards, and data visualization tools 👉 Deployment strategies for sharing apps with teams, clients, or the world 👉 Inspiration to use Streamlit as your go-to framework for Python projects Why developers love Streamlit: Free, open-source, and growing fast Clean UI out of the box — no design skills required Perfect for data apps, prototypes, and AI demos Integrates seamlessly with Python libraries like Pandas, NumPy, Matplotlib, TensorFlow, PyTorch, Hugging Face, and more Whether you’re a student exploring data science, a researcher sharing ML results, a developer building AI apps, or just someone curious about turning Python into powerful web apps, Streamlit makes the process fast, fun, and intuitive. #Python #Streamlit #DataScience #AI #MachineLearning #WebDevelopment #ArtificialIntelligence #React #DjangoAlternative #ComputerScience #ComputerEngineering #JupyterNotebookAlternative #PythonProjects
#Streamlit Data Editing Widget Reel by @imaginaryover2 - Your app is slow because you forgot THIS : Streamlit day 24 Welcome to the playlist where I explore everything inside Streamlit - the easiest way to b
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IM
@imaginaryover2
Your app is slow because you forgot THIS : Streamlit day 24 Welcome to the playlist where I explore everything inside Streamlit – the easiest way to build interactive, data-driven web apps with pure Python. 🚀 Streamlit is an open-source framework that allows you to transform any Python script into a beautiful, production-ready web application in minutes. With just a few lines of code, you can create dashboards, AI interfaces, machine learning demos, and interactive tools — no need to learn JavaScript, HTML, CSS, or React. If you’re into Python programming, web development, data science, machine learning, AI, computer engineering, or computer science, this channel is for you. I publish short, focused tutorials that showcase Streamlit’s components, layouts, customization options, and hidden tricks — so you can quickly learn how to: ✅ Build interactive apps and dashboards ✅ Replace Jupyter Notebooks with dynamic, shareable apps ✅ Create simple alternatives to Django or Flask for rapid prototyping ✅ Connect Python to data, APIs, and AI models with clean UIs ✅ Design projects with modern, responsive layouts and themes On this channel, you’ll find: 👉 Step-by-step guides to every Streamlit widget (st.button, st.slider, st.text_input, etc.) 👉 Tips for building AI apps, ML dashboards, and data visualization tools 👉 Deployment strategies for sharing apps with teams, clients, or the world 👉 Inspiration to use Streamlit as your go-to framework for Python projects Why developers love Streamlit: Free, open-source, and growing fast Clean UI out of the box — no design skills required Perfect for data apps, prototypes, and AI demos Integrates seamlessly with Python libraries like Pandas, NumPy, Matplotlib, TensorFlow, PyTorch, Hugging Face, and more 🔔 Don’t miss the next tutorial — new Streamlit Shorts drop regularly! #Python #Streamlit #DataScience #AI #MachineLearning #WebDevelopment #ArtificialIntelligence #React #DjangoAlternative #ComputerScience #ComputerEngineering #JupyterNotebookAlternative #PythonProjects
#Streamlit Data Editing Widget Reel by @imaginaryover2 - I Made My App 1000x More Engaging w 1 Line of Code : Streamlit day 21 Streamlit is an open-source framework that allows you to transform any Python
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@imaginaryover2
I Made My App 1000x More Engaging w 1 Line of Code : Streamlit day 21 Streamlit is an open-source framework that allows you to transform any Python script into a beautiful, production-ready web application in minutes. With just a few lines of code, you can create dashboards, AI interfaces, machine learning demos, and interactive tools — no need to learn JavaScript, HTML, CSS, or React. If you’re into Python programming, web development, data science, machine learning, AI, computer engineering, or computer science, this channel is for you. I publish short, focused tutorials that showcase Streamlit’s components, layouts, customization options, and hidden tricks — so you can quickly learn how to: On this channel, you’ll find: 👉 Step-by-step guides to every Streamlit widget (st.button, st.slider, st.text_input, etc.) 👉 Tips for building AI apps, ML dashboards, and data visualization tools 👉 Deployment strategies for sharing apps with teams, clients, or the world 👉 Inspiration to use Streamlit as your go-to framework for Python projects Why developers love Streamlit: Free, open-source, and growing fast Clean UI out of the box — no design skills required Perfect for data apps, prototypes, and AI demos Integrates seamlessly with Python libraries like Pandas, NumPy, Matplotlib, TensorFlow, PyTorch, Hugging Face, and more Whether you’re a student exploring data science, a researcher sharing ML results, a developer building AI apps, or just someone curious about turning Python into powerful web apps, Streamlit makes the process fast, fun, and intuitive. 📌 Subscribe if you want to master Streamlit one step at a time — I’m covering every single feature so you’ll have the complete toolkit to build apps for AI, data, and any Python-based project. 🔔 Don’t miss the next tutorial — new Streamlit Shorts drop regularly! #Python #Streamlit #DataScience #AI #MachineLearning #WebDevelopment #ArtificialIntelligence #React #DjangoAlternative #ComputerScience #ComputerEngineering #JupyterNotebookAlternative #PythonProjects
#Streamlit Data Editing Widget Reel by @imaginaryover2 - Stop losing data - use session state : Streamlit day 25 Welcome to the playlist where I explore everything inside Streamlit - the easiest way to buil
300
IM
@imaginaryover2
Stop losing data — use session state : Streamlit day 25 Welcome to the playlist where I explore everything inside Streamlit – the easiest way to build interactive, data-driven web apps with pure Python. 🚀 Streamlit is an open-source framework that allows you to transform any Python script into a beautiful, production-ready web application in minutes. With just a few lines of code, you can create dashboards, AI interfaces, machine learning demos, and interactive tools — no need to learn JavaScript, HTML, CSS, or React. If you’re into Python programming, web development, data science, machine learning, AI, computer engineering, or computer science, this channel is for you. I publish short, focused tutorials that showcase Streamlit’s components, layouts, customization options, and hidden tricks — so you can quickly learn how to: ✅ Build interactive apps and dashboards ✅ Replace Jupyter Notebooks with dynamic, shareable apps ✅ Create simple alternatives to Django or Flask for rapid prototyping ✅ Connect Python to data, APIs, and AI models with clean UIs ✅ Design projects with modern, responsive layouts and themes On this channel, you’ll find: 👉 Step-by-step guides to every Streamlit widget (st.button, st.slider, st.text_input, etc.) 👉 Tips for building AI apps, ML dashboards, and data visualization tools 👉 Deployment strategies for sharing apps with teams, clients, or the world 👉 Inspiration to use Streamlit as your go-to framework for Python projects Why developers love Streamlit: Free, open-source, and growing fast Clean UI out of the box — no design skills required Perfect for data apps, prototypes, and AI demos Integrates seamlessly with Python libraries like Pandas, NumPy, Matplotlib, TensorFlow, PyTorch, Hugging Face, and more 🔔 Don’t miss the next tutorial — new Streamlit Shorts drop regularly! #Python #Streamlit #DataScience #AI #MachineLearning #WebDevelopment #ArtificialIntelligence #React #DjangoAlternative #ComputerScience #ComputerEngineering #JupyterNotebookAlternative #PythonProjects

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