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Udemy – Streamlit Course – Create Python Web Apps Fast & Easy!

29-03-2025, 09:05, posted by Baturi

Free Download Udemy – Streamlit Course – Create Python Web Apps Fast & Easy!

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 jаvascript.
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
Description

Do you want to build interactive web apps with Python without the hassle of learning complex web frameworks? Streamlit is the perfect solution! With Streamlit, you can create powerful, data-driven web applications with just a few lines of Python code—no need for HTML, CSS, or jаvascript.In this comprehensive, hands-on course, you'll go from a complete beginner to confidently building and deploying Streamlit apps. Whether you're a data scientist, Python developer, or analyst, this course will teach you everything you need to know about building interactive dashboards, visualizing data, and handling user inputs using Streamlit's intuitive API.

What you'll learn

:Introduction to Streamlit – Install, run, and understand the basics of Streamlit.Building Your First App – Create a "Hello, World!" app and work with text elements.Widgets & Inputs – Use buttons, checkboxes, dropdowns, sliders, and more.App Layout & Structure – Organize apps using sidebars, columns, containers, and tabs.Session State & Interactivity – Store user inputs and dynamically update the UI.Data Visualization – Create stunning charts with Matplotlib, Seaborn, Plotly, and Streamlit's built-in tools.Forms & User Inputs – Build and process interactive forms.Advanced Components – Use notifications, alerts, progress bars, and spinners.By the end of this course, you'll have the skills to build and deploy powerful web apps with Python—quickly and effortlessly!
Ideal for Python developers, data scientists, and analysts who want to quickly create interactive web applications without the need for complex web development skills.

Homepage:

https://www.udemy.com/course/streamlit-course-python-web-apps/

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