Streamlit Tutorial Playlist
• Streamlit Tutorial | Streamlit Tutori...
Part 2: • Streamlit Tutorial 1-2 - Working with...
Let's jazz up your Streamlit apps with cool text tricks! This tutorial is your guide to making your text stand out in Streamlit. We'll cover everything from basic stuff like titles and headers to fancier things like using emojis and even math equations with LaTeX. Learn how to sprinkle emojis throughout your app using a special shortcut. It's easy, fun, and adds a lot of personality! Whether you're new to Streamlit or a pro, this tutorial has something for everyone. We'll walk through each step, from the simplest st.title() to the fanciest st.latex(). And don't worry, we'll show you exactly where to get those cool emojis too. Get ready to make your Streamlit app shine!
GitHub Repository Link
https://github.com/laxmimerit/streaml...
WATCH FULL PLAYLIST HERE
1-1. Working with Text Display Part 1
• Streamlit Tutorial 1-1 - Working with...
1-2. Working with Text Display Part 2
• Streamlit Tutorial 1-2 - Working with...
2. Working with Text Inputs
• Streamlit Tutorial 2 - Working with T...
3. Working with Interactive Widgets of Streamlit
• Streamlit Tutorial 3 - Working with I...
4. Working with Status and Progress Indicators
• Streamlit Tutorial 4 - Working with S...
5. Working with Data Objects
• Streamlit Tutorial 5 - Working with D...
6. Working with Media (Audio, Video and Image) Files
• Streamlit Tutorial 6 - Working with M...
7-1. Working with Plotting Libraries Part 1
• Streamlit Tutorial 7-1 - Working with...
7-2. Working with Plotting Libraries Part 2
• Streamlit Tutorial 7-2 - Working with...
8. Working with Sidebar and Navigation Bars
• Streamlit Tutorial 8 - Working with S...
9-1. Working with Layouts and Page Configuration Part 1
• Streamlit Tutorial 9-1 - Working with...
9-2. Working with Layouts and Page Configuration Part 2
• Streamlit Tutorial 9-2 - Working with...
10. Working with Caching and Resource Management
• Streamlit Tutorial 10 - Working with ...
11. Deploy Streamlit Application - Make Image Cartoon and Remove Background
• Streamlit Tutorial 11 - Deploy Stream...
00. Streamlit Crash Course
• Streamlit Tutorial - Streamlit Getti...
🔊 Watch till last for a detailed description
💯 Read Full Blog with Code
https://kgptalkie.com
💬 Leave your comments and doubts in the comment section
📌 Save this channel and video for watch later
👍 Like this video to show your support and love ❤️
~~~~~~~~
🆓 Watch My Top Free Data Science Videos
👉🏻 Python for Data Scientist
https://bit.ly/3dETtFb
👉🏻 Machine Learning for Beginners
https://bit.ly/2WOVh7N
👉🏻 Feature Selection in Machine Learning
https://bit.ly/2YW6ZQH
👉🏻 Text Preprocessing and Mining for NLP
https://bit.ly/31sYMUN
👉🏻 Natural Language Processing (NLP)
Tutorials https://bit.ly/3dF1cTL
👉🏻 Deep Learning with TensorFlow 2.0
and Keras https://bit.ly/3dFl09G
👉🏻 COVID 19 Data Analysis and Visualization
Masterclass https://bit.ly/31vNC1U
👉🏻 Machine Learning Model Deployment Using
Flask at AWS https://bit.ly/3b1svaD
👉🏻 Make Your Own Automated Email Marketing
Software in Python https://bit.ly/2QqLaDy
***********
🤝 BE MY FRIEND
🌍 Check Out ML Blogs: https://kgptalkie.com
🐦Add me on Twitter: / laxmimerit
📄 Follow me on GitHub: https://github.com/laxmimerit
📕 Add me on Facebook: / kgptalkie
💼 Add me on LinkedIn: / laxmimerit
👉🏻 Complete Udemy Courses: https://bit.ly/32taBK2
⚡ Check out my Recent Videos: https://bit.ly/3ldnbWm
🔔 Subscribe me for Free Videos: https://bit.ly/34wN6T6
🤑 Get in touch for Promotion: [email protected]
✍️🏆🏅🎁🎊🎉✌️👌⭐⭐⭐⭐⭐
ENROLL in My Highest Rated Udemy Courses
to 🔑 Crack Data Science Interviews and Jobs
🏅🎁 Python for Machine Learning: A Step-by-Step Guide | Udemy
Course Link: https://bit.ly/ml-ds-project
🎁🎊 Deep Learning for Beginners with Python
Course Link: https://bit.ly/dl-with-python
📚 📗 Natural Language Processing ML Model Deployment at AWS
Course Link: https://bit.ly/bert_nlp
📊 📈 Data Visualization in Python Masterclass: Beginners to Pro
Course Link: https://bit.ly/udemy95off_kgptalkie
📘 📙 Natural Language Processing (NLP) in Python for Beginners
Course Link: https://bit.ly/intro_nlp
🎉✌️ Advanced Natural Language and Image Processing Projects | Udemy
Course Link: https://bit.ly/kgptalkie_ml_projects
📈 📘 Python for Linear Regression in Machine Learning
Course Link: https://bit.ly/regression-python
📙📊 R 4.0 Programming for Data Science || Beginners to Pro
Course Link: http://bit.ly/r4-ml
✍️🏆 Introduction to Spacy 3 for Natural Language Processing
Course Link: https://bit.ly/spacy-intro
✍️🏆 Introduction to Spacy 3 for Natural Language Processing
Course Link: https://bit.ly/spacy-intro