data_science_dashboard

dynamic data science dashboard with Taipy Scenarios

Introduction

This repository stores the code of a Full Stack GUI App Project featured in my Youtube tutorial.

Requirements

• taipy >= 4.0.0 (previous versions do no have tp.Orchestrator() but use tp.Core() instead)
• plotly == 5.24.1
• tensorflow == 2.18.0
• scikit-learn == 1.5.2

Recommended Environment Setup - No GPU

>> conda create env -n your_name python=3.11
>> conda activate your_name
>> pip install taipy
>> pip install plotly
>> pip install tensorflow
>> pip install scikit-learn

Recommended Environment Setup - with GPU

This enviropnment will result in obtaining predictions faster. How faster depends on your CPU and GPU model.
On my end, it results in approx. 20% speed up from switching to RTX 4080 GPU over 12th Gen Intel i9-12900k CPU.

*Please replace the first command with one that matches your system requirements and CUDA version from the official RAPIDS installation guide.

>> conda create -n your_name -c rapidsai -c conda-forge -c nvidia cudf=24.10 python=3.12 'cuda-version>=12.0,<=12.5'
>> conda activate your_name
>> pip install taipy
>> pip install plotly
>> pip install tensorflow
>> pip install scikit-learn

Dataset

S&P 500 Stocks (daily updated) by Larxel
https://www.kaggle.com/datasets/andrewmvd/sp-500-stocks

Further Learning

Please checkout Taipy's Official Github Repo for more details and contribution guidelines.

Connect with me

⭐ YouTube
https://youtube.com/@pythonsimplified
⭐ Discord
https://discord.com/invite/wgTTmsWmXA
⭐ LinkedIn
https://ca.linkedin.com/in/mariyasha888
⭐ Twitter
https://twitter.com/mariyasha888
⭐ Blog
https://www.pythonsimplified.org