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Streamlit in 2024 Tutorial - 01 - The Basics - The different ways to write data into an app 

Python Tutorials for Digital Humanities
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Welcome to our comprehensive Streamlit tutorial designed for beginners! In this video, we delve into the exciting world of interactive web application development using Streamlit, a powerful tool for data scientists and Python developers.
Key Highlights of the Tutorial:
Introduction to Streamlit: Understand the basics of Streamlit and its importance in building interactive web apps.
Installation Guide: Step-by-step instructions on how to install Streamlit and set up your development environment.
Creating Your First App: We'll guide you through the process of creating your very first Streamlit app.
Exploring Core Functions:
st.title(): Learn how to add titles to your Streamlit apps to make them more informative.
st.write(): Discover how to display text and data in a flexible way.
st.markdown(): Dive into adding markdown formatted text to enhance the presentation of your app.
st.caption(): Understand the use of captions for images and graphs to provide context.
st.header(): See how headers can be used to organize content and improve readability.
Divider Elements: Learn how to use dividers to structure your app effectively.
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7 июл 2024

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Комментарии : 8   
@marcosoliveira8731
@marcosoliveira8731 3 месяца назад
Amazing video man!
@laudermarauder
@laudermarauder 6 месяцев назад
This is great. Looking forward to future episodes of this series. Are you planning to do a tutorial on working with SQLite and/or CSV files in Streamlit, by any chance? Many thanks
@python-programming
@python-programming 6 месяцев назад
Thanks!! Actually, yes. I did that for a project recently and thought it would make for a great video.
@Fogaca135
@Fogaca135 6 месяцев назад
Thanks!
@python-programming
@python-programming 6 месяцев назад
No problem!This is an updated playlist. My last one was from over 2 years ago.
@cesar3575
@cesar3575 5 месяцев назад
*Promo sm* 😎
@93hothead
@93hothead 5 месяцев назад
I kinda new to streamlit but I have to ask if when you do @st.cache_data to store the data without needing to fetch it from the source everytime, does streamlit auto detects if at the source end something changes?
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