| 1. Api Reference.mp4 | 193.1 MB | ||
| 1. Coding the first App.mp4 | 54.8 MB | ||
| 1. Components.mp4 | 25.4 MB | ||
| 1. Deploy app on heroku.mp4 | 203.6 MB | ||
| 1. Introduction.mp4 | 11.2 MB | ||
| 1. Localhost to Ngrok.mp4 | 66.3 MB | ||
| 1. Lottie Files.mp4 | 108.2 MB | ||
| 1. PDF Unlocker.mp4 | 69.9 MB | ||
| 1. Stock Analysis App.mp4 | 191.9 MB | ||
| 2. Contact Locator.mp4 | 153.8 MB | ||
| 2. Installation.mp4 | 24.3 MB | ||
| 2. PDF Merger.mp4 | 80.9 MB | ||
| 2. Pencil Sketch App.mp4 | 158.9 MB | ||
| 3. Habit Tracker.mp4 | 113.7 MB | ||
| 3. Wikipedia Shorts App.mp4 | 85.6 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 17 total files | |||
StreamLit With Python Zero to Hero
https://DevCourseWeb.com
Last updated 1/2023
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 1.5 GB | Duration: 15 lectures • 2h 50m
Webapps with StreamLit || Faster webapps with python StreamLit
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 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.
| torrent name | size | uploader | age | seed | leech |
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| 2.7 GB | freecoursewb | 1 month | 0 | 0 | |
| 1.1 GB | freecoursewb | 6 months | 15 | 0 | |
| 883.5 MB | freecoursewb | 9 months | 0 | 0 | |
| 444.5 MB | freecoursewb | 10 months | 0 | 0 | |
| 344.1 MB | freecoursewb | 1 year | 8 | 1 |
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