https://github.com/audrbar/py_site

Website for displaying Data Science Projects build on Streamlit
https://github.com/audrbar/py_site

matplotlib numpy pandas python3 requests streamlit

Last synced: 8 days ago
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Website for displaying Data Science Projects build on Streamlit

• Host: GitHub
• URL: https://github.com/audrbar/py_site
• Owner: audrbar
• License: mit
• Created: 2024-06-29T15:04:09.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-08-08T17:27:15.000Z (3 months ago)
• Last Synced: 2024-08-09T17:44:47.011Z (3 months ago)
• Topics: matplotlib, numpy, pandas, python3, requests, streamlit
• Language: Python
• Homepage:
• Size: 65.2 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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# A Website to explore Data Science projects

Hi :wave:, and welcome to the Data Science Website build on Streamlit.

## Description

Application is built with *Python*, hosted on *Streamlit Community Cloud* and it's data are

stored in *PostgreSQL*, hosted on _Supabase_.

## Pages

These are sources of main pages of a respected app:

| File Name             | Description                                                            | Link                                    |

|-----------------------|------------------------------------------------------------------------|-----------------------------------------|

| Data_Explorer.py      | Explores Data Sets red from .csv files provided by user                | [LINK](./pages/1_Data_Explorer.py)      |

| Project_Management.py | Executes project management tasks, reads and writes data to database   | [LINK](./pages/2_Project_management.py) |

| Various_Elements.py   | Explores different built in Streamlit possibilities to use in web app  | [LINK](./pages/4_Various_Elements.py)   |

## Installing Streamlit

_You can use the [requirements.txt](requirements.txt) file (red by command `pip freeze > .\requirements.txt`) to install all the required libraries,

or if you already have pandas and numpy, you can just install streamlit by opening

a command prompt / terminal and typing in:_

`pip install -r .\requirements.txt`


or


`pip install streamlit`

## Running Streamlit

_Once Streamlit has been installed you can run the select file by typing the following in the command prompt/terminal:_

`streamlit run app.py`

## Data Sources

_For testing purposes the initial data set may be used:_

| File Name       | Source                                | Source Link                   |

|-----------------|---------------------------------------|-------------------------------|

| movies.csv      | Some Demo Data for Data Explorer      | [LINK](./data/movies.csv)     |

| initial_data.py | Some Demo Data for Project Management | [LINK](./src/initial_data.py) |

## DataBase Diagram

_DataBase Diagram was used to construct the database structure_

![DataBase Diagram](./data/tb_diagram.png)




### 🧪 Running tests

_There are tests writen for connection testing in [test directory](./data/test_conn.py). You can run it in console by command:_

`pytest`

## 🎅 Authors

Audrius: [Github](https://github.com/audrbar)

## ⚠️ License

Distributed under the MIT License. See LICENSE.txt for more information.

## 🔗 Other resources

Langchain PDF App: [Langchain](https://www.youtube.com/watch?v=wUAUdEw5oxM)

Ask Book: [Article](https://bennycheung.github.io/ask-a-book-questions-with-langchain-openai)