StreamLit With Python || Zero to Hero
Learn how to build web apps for data science and machine learning using Streamlit. This course is perfect for Python developers and students looking to enhance their portfolio.
What you’ll learn
- Python
- Streamlit
- Machine Learning
- Heroku Deployment
Streamlit is an open source app framework in Python language. It helps us create web apps for data science and machine learning in a short time. It is compatible with major Python libraries such as scikit-learn, Keras, PyTorch, SymPy(latex), NumPy, pandas, Matplotlib etc. With Streamlit, no callbacks are needed since widgets are treated as variables. Data caching simplifies and speeds up computation pipelines. Streamlit watches for changes on updates of the linked Git repository and the application will be deployed automatically in the shared link.
This Course is designed to get started with python library called Streamlit for developing webapps on the go. It helps students to learn python and code some python projects into webapps with simple and few lines of code.
We will start from the scratch that what is StreamLit and the installation etc.
Requirements
Please ensure that you have the following:
Basic understanding of Programming
Python Programming Skills
Mid to high range PC/ Laptop
Windows 10/Ubuntu/Mac
What you’ll learn
Build a StreamLit Number Tracker App
Integrate Computer Vision into StreamLit
Implement Widgets, buttons and camera inputs
Python and StreamLit WebApp Development on Heroku
Are there any course requirements or prerequisites?
Python Programming Experience
Who this course is for:
Students who want to create presentable web apps
Students who want to learn StreamLit and how to integrate it with amazing libraries in python
This is a practice along course. You can code along for maximum learning.
Who this course is for:
- Python Developers
- Web Application Developers
- Developers looking to explore new stuff
- Students interested to build their portfolio
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