Udemy - Streamlit Course - Create Python Web Apps Fast and Easy!

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Udemy - Streamlit Course - Create Python Web Apps Fast and Easy! (Size: 344.1 MB)
  1 - Introduction.mp4 4.7 MB
  10 - Checkboxes.mp4 15.3 MB
  11 - Radio Buttons.mp4 14.3 MB
  12 - Dropdown Selections.mp4 16.1 MB
  13 - Slider and Number Input.mp4 13.6 MB
  14 - Text Input and Text Area.mp4 9.9 MB
  15 - Date Input and Time Input.mp4 12.9 MB
  16 - Layout and Structuring Apps.mp4 30 MB
  17 - Adding Interactivity with Session State.mp4 14.6 MB
  18 - Displaying Data and Visualizations.mp4 31.4 MB
  19 - Forms.mp4 22.7 MB
  2 - Course Outline.mp4 7.1 MB
  20 - Advanced Streamlit Components.mp4 24.4 MB
  21 - Bonus Lecture.html 716.8 B
  3 - What is Streamlit.mp4 6.4 MB
  4 - Overview of Streamlit Page.mp4 49.3 MB
  5 - Installing Streamlit and Running Your First Streamlit App.mp4 18.5 MB
  6 - Basic Streamlit App Structure.mp4 17.3 MB
  7 - Title Header and Subheader.mp4 9.8 MB
  8 - Text Elements.mp4 11.5 MB
  9 - Buttons.mp4 14.1 MB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 23 total files

Description


Streamlit Course - Create Python Web Apps Fast & Easy!

https://WebToolTip.com

Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 344.09 MB | Duration: 1h 36m

Master Streamlit & build interactive Python web apps effortlessly—no web dev needed! Fast, easy, and powerful!

What you'll learn
Learn how to build and deploy interactive web apps using Streamlit with Python, without needing HTML or JavaScript.
Gain hands-on experience with Streamlit’s components like buttons, sliders, checkboxes, and forms to create dynamic user interfaces.
Master data visualization by integrating libraries like Matplotlib, Seaborn, and Plotly for interactive charts and graphs.
Understand advanced Streamlit features like session state management and custom layouts to create highly interactive and responsive apps.

Requirements
Basic Python Programming Knowledge

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