The job is to install ydata-synthetic and its streamlit app UI remotely on my laptop using: pip install "ydata-synthetic[streamlit]==v1.1.0"
Budget: $60 – $100 USD
I am looking for a freelancer who can remotely install ydata-synthetic and its streamlit app UI on my Windows laptop.
Requirements:
- Familiarity with pip installation process
- Proficiency in working with ydata-synthetic and its streamlit app
- Experience with Windows operating system
Tasks:
- Remotely install ydata-synthetic and its streamlit app UI on my laptop using the command: pip install "ydata-synthetic[streamlit]==v1.1.0"
- Ensure proper installation and functionality of the app
Further instructions:
The job is to install ydata-synthetic and its streamlit app UI remotely on my laptop using: pip install "ydata-synthetic[streamlit]==v1.1.0"
For this job you will:
Remotely login into my laptop & build the working solution.
Create a virtual env using conda
Active the virtual env
Install ydata-synthetic and its streamlit-app UI
Undertake ALL necessary steps taken to get the solution working
Test it via localhost url, the test must show the full gui and it must be functional
Write the steps you took to install ydata-synthetic in a readme.txt file
Done!
I already have Anaconda and PyCharm installed on my laptop.
This job requires someone who is an expert at python / anaconda. You expected to read the github pages for ydata-synthetic. It will be useful you can get a working prototype working in your environment before you can replicate on my laptop. No time wasters please!
Helpful guides are below:
------------------------------------------------
Github Link: https://github.com/ydataai/ydata-synthetic
-------------------------------------------------
watch videos
https://www.youtube.com/watch?v=6Lzi26szKNo
https://www.youtube.com/watch?v=jj9X1_cKRwI
-----------------------------------------------
The UI guide for synthetic data generation
YData synthetic has now a UI interface to guide you through the steps and inputs to generate structure tabular data. The streamlit app is available form v1.0.0 onwards, and supports the following flows:
Train a synthesizer model
Generate & profile synthetic data samples
Installation
pip install ydata-synthetic[streamlit]
Quickstart
Use the code snippet below in a python file (Jupyter Notebooks are not supported):
from ydata_synthetic import streamlit_app
streamlit_app.run()
Or use the file streamlit_app.py that can be found in the examples folder.
python -m streamlit_app
Requirements:
- Familiarity with pip installation process
- Proficiency in working with ydata-synthetic and its streamlit app
- Experience with Windows operating system
Tasks:
- Remotely install ydata-synthetic and its streamlit app UI on my laptop using the command: pip install "ydata-synthetic[streamlit]==v1.1.0"
- Ensure proper installation and functionality of the app
Further instructions:
The job is to install ydata-synthetic and its streamlit app UI remotely on my laptop using: pip install "ydata-synthetic[streamlit]==v1.1.0"
For this job you will:
Remotely login into my laptop & build the working solution.
Create a virtual env using conda
Active the virtual env
Install ydata-synthetic and its streamlit-app UI
Undertake ALL necessary steps taken to get the solution working
Test it via localhost url, the test must show the full gui and it must be functional
Write the steps you took to install ydata-synthetic in a readme.txt file
Done!
I already have Anaconda and PyCharm installed on my laptop.
This job requires someone who is an expert at python / anaconda. You expected to read the github pages for ydata-synthetic. It will be useful you can get a working prototype working in your environment before you can replicate on my laptop. No time wasters please!
Helpful guides are below:
------------------------------------------------
Github Link: https://github.com/ydataai/ydata-synthetic
-------------------------------------------------
watch videos
https://www.youtube.com/watch?v=6Lzi26szKNo
https://www.youtube.com/watch?v=jj9X1_cKRwI
-----------------------------------------------
The UI guide for synthetic data generation
YData synthetic has now a UI interface to guide you through the steps and inputs to generate structure tabular data. The streamlit app is available form v1.0.0 onwards, and supports the following flows:
Train a synthesizer model
Generate & profile synthetic data samples
Installation
pip install ydata-synthetic[streamlit]
Quickstart
Use the code snippet below in a python file (Jupyter Notebooks are not supported):
from ydata_synthetic import streamlit_app
streamlit_app.run()
Or use the file streamlit_app.py that can be found in the examples folder.
python -m streamlit_app