https://github.com/shubhammandowara/showcase_your_work
Showcase your work using streamlit and Gradio
https://github.com/shubhammandowara/showcase_your_work
bokeh-tutorial bokehplots gradio-python-app plotly-python plotly-tutorial python-graph pyvisgraph seaborn-plots seaborn-tutorial streamlit-tutorial
Last synced: 9 days ago
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Showcase your work using streamlit and Gradio
- Host: GitHub
- URL: https://github.com/shubhammandowara/showcase_your_work
- Owner: ShubhamMandowara
- License: apache-2.0
- Created: 2023-09-19T11:58:07.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-09-23T09:21:36.000Z (over 1 year ago)
- Last Synced: 2025-02-17T07:34:04.887Z (3 months ago)
- Topics: bokeh-tutorial, bokehplots, gradio-python-app, plotly-python, plotly-tutorial, python-graph, pyvisgraph, seaborn-plots, seaborn-tutorial, streamlit-tutorial
- Language: HTML
- Homepage:
- Size: 102 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# showcase_your_work
Showcase your work using streamlit and Gradio
## Streamlit:
1. How to install streamlit and Hello World!
2. Add Header, button
3. Write Dataframe to streamlit
4. slider
5. Line chart
6. multiselect and select options
7. checkbox
8. Progress bar
9. Sidebar
## Gradio
#### What is Gradio and where to use
1. Install
2. InferFace with text, area, input, output change
3. ChatInferFace
4. Customization using block
5. Deploy porject on hugging face space
6. fix invalid credentials when doing commit to hugging face
7. Generate Access token to push to hugging face space
## Pyvis
#### What is Pyvis and where to use
Use case: to finds links betweek the connections on social media to find out crime suspect, finding out relationship, to visualize algorithms and find out shortest path etc
1. Install
2. Create nodes and edges
3. Change size, color, shape
4. Create multiple nodes
5. Networkx and create a cyclic graph with physics and without physics
6. Add menu
## Bokeh
#### What is Bokeh and where to use
Create beautiful graphs using Bokeh
1. Install
2. Create a line graph
3. Customize your point to circle, star, hexa etc
4. hexbin
5. Scatter
6. stack
## Seaborn
#### What is Seaborn and where to use
1. Install
2. Create a line chart
3. Creat a pair plot
4. Create Bar chart
5. Create a stack
6. Create scatter plot
## Plotly
#### What is Plotly and where to use
Create beautifulgraphs using plotly and dash
1. Install
2. Create a line chart
3. Creat a pair plot
4. Create Bar chart
5. Create a stack
6. Create scatter plot
## Matplotlib
#### What is Matplotlib and where to use
Create beautifulgraphs using Matplotlib and dash
1. Install
2. Create a line chart
3. Creat a pair plot
4. Create Bar chart
5. Create a stack
6. Create scatter plot