Udemy - Mastering Streamlit Hands-on

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Udemy - Mastering Streamlit Hands-on (Size: 2.7 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Introduction
  1. Course Introduction.mp4 18.5 MB
  10 - Working with APIs & Secrets
  11 - Project 2 - End-to-End Streamlit AI Application
  12 - Deploying Streamlit Apps
  13 - Conclusion
  2 - Streamlit Fundamentals & Environment Setup
  2. Section Introduction.mp4 5.3 MB
  3 - Displaying Content - Text, Data & Media
  10. Demonstration - Displaying Content.mp4 159.6 MB
  11. Summary.mp4 8.7 MB
  4 - Interactive Widgets
  12. Section Introduction.mp4 5.5 MB
  13. Interactive Widgets Fundamentals.mp4 48.4 MB
  14. Demonstration - Basic Inputs Widgets.mp4 111.9 MB
  15. Demonstration - Advanced Inputs Widgets.mp4 105.2 MB
  16. Demonstration - Creating Form.mp4 70 MB
  17. Summary.mp4 6.7 MB
  5 - Layouts & Styling
  18. Section Introduction.mp4 6.8 MB
  19. Layout & UI Design Fundamentals.mp4 35 MB
  20. Demonstration - Structuring Layouts.mp4 93.8 MB
  21. Demonstration - Enhancing UI.mp4 135.3 MB
  22. Summary.mp4 8.5 MB
  6 - Charts & Data Visualization
  23. Section Introduction.mp4 7.5 MB
  24. Data Visualization in Streamlit.mp4 26.9 MB
  25. Demonstration - Built-in Charts.mp4 59.2 MB
  26. Demonstration - Advanced Visuals.mp4 94.4 MB
  27. Summary.mp4 10.2 MB
  7 - App State & Performance
  28. Section Introduction.mp4 10.1 MB
  29. Understanding Session State - Why Apps Forget.mp4 24.9 MB
  30. Demonstration - Using st.session_state to Persist Data Across Reruns.mp4 65.8 MB
  31. Demonstration - Caching with @st.cache_data & @st.cache_resource.mp4 142.2 MB
  32. Demonstration - Command Line Essentials for Streamlit.mp4 55.9 MB
  33. Summary.mp4 11 MB
  8 - Multi-Page Apps
  34. Section Introduction.mp4 6.9 MB
  35. How Multi-Page Apps Work - The pages Folder Structure.mp4 29.4 MB
  36. Demonstration - Building a Multi-Page App with Shared State Across Pages.mp4 83.6 MB
  37. Summary.mp4 4.3 MB
  9 - Project 1 - Data Explorer App
  38. Section Introduction.mp4 6.5 MB
  39. Project Overview & What We're Building.mp4 40.7 MB
  40. Demonstration - Building the File Upload & Data Preview Module.mp4 113.4 MB
  41. Demonstration - Adding Insights, Filters & Tools Analysis.mp4 131.6 MB
  42. Summary.mp4 6.9 MB
  8. Section Introduction.mp4 10.2 MB
  9. Core Concepts of Content Display.mp4 67.3 MB
  3. What is Streamlit & Why Use It.mp4 29.3 MB
  4. Demonstration - Streamlit Documentation overview.mp4 73 MB
  5. Demonstration - Setting Up Your Environment & Running Your First App.mp4 160.4 MB
  6. How Streamlit Works - The Rerun Model Explained.mp4 27.8 MB
  7. Summary.mp4 8.1 MB
  57. Course Conclusion.mp4 9.6 MB
  53. Section Introduction.mp4 7.5 MB
  54. Deployment Options Overview.mp4 30.3 MB
  55. Demonstration - Deploying on Streamlit Community Cloud.mp4 145.8 MB
  56. Summary.mp4 7.1 MB
  48. Section Introduction.mp4 6.7 MB
  49. Project Overview – Thinknyx AI Hub.mp4 18.4 MB
  50. Demonstration – Building Thinknyx AI Hub.mp4 93.2 MB
  51. Demonstration – Thinknyx AI Hub End-to-End Working.mp4 175.7 MB
  52. Summary.mp4 10.1 MB
  43. Section Introduction.mp4 6.9 MB
  44. How API Calls Work in a Streamlit App.mp4 27.9 MB
  45. Demonstration - Managing Secrets Securely with secrets.toml.mp4 52 MB
  46. Demonstration - Google Gemini API - Setup & Testing API Key.mp4 74.1 MB
  47. Summary.mp4 5.8 MB

Description


Mastering Streamlit | Hands-on
https://WebToolTip.com
Published 5/2026

Created by Yogesh Raheja

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Level: All Levels | Genre: eLearning | Language: English | Duration: 57 Lectures ( 4h 6m ) | Size: 2.73 GB
Build Interactive Python Web Apps with Real Projects
What you'll learn

⚡ Understand the fundamentals of Streamlit and how it simplifies web app development with Python

⚡ Build interactive and modern web applications without writing frontend code

⚡ Work with Streamlit widgets, layouts, forms, charts, and media components

⚡ Create multi-page Streamlit applications with shared state management

⚡ Visualize data using built-in charts and advanced visualization libraries

⚡ Improve app performance using caching and optimization techniques

⚡ Build real-world Streamlit projects including a Data Explorer App and an AI-powered application

⚡ Deploy Streamlit applications on Streamlit Community Cloud and other deployment platforms
Requirements

❗ Basic knowledge of Python

❗ A computer with internet access

❗ No frontend or web development experience required

❗ Curiosity to build interactive applications using Python

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