Last updated 1/2023Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHzLanguage: English | Size: 1.5 GB | Duration: 15 lectures 2h 50m
What you'll learn Python Streamlit Machine Learning Heroku Deployment Requirements Python Programming Description 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 . 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 HomePage:
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