davma/jupyter-tensorflow-pyodbc repository overview

⁠1. Introduction

Jupyter-TensorFlow image with pyodbc == 4.0.30

⁠2. Docker pull and tags

You can download the full image from Docker Hub⁠ with the following command.

Jupyter-TensorFlow latest official image⁠ with pyodbc == 4.0.30

docker pull davma/jupyter-tensorflow-pyodbc:latest

Jupyter-TensorFlow python:3.10 official image⁠ with pyodbc == 4.0.30

docker pull davma/jupyter-tensorflow-pyodbc:3.10

Jupyter-TensorFlow python:3.9 official image⁠ with pyodbc == 4.0.30

docker pull davma/jupyter-tensorflow-pyodbc:3.9

Jupyter-TensorFlow python:3.8 official image⁠ with pyodbc == 4.0.30

docker pull davma/jupyter-tensorflow-pyodbc:3.8

⁠3. Access to Jupyter

Visiting http://<hostname>:8888/?token=<token> in a browser loads JupyterLab, where:

• hostname is the name of the computer running Docker
• token is the secret token printed in the console.

⁠4.Container for microservices

https://hub.docker.com/r/davma/tensorflow-pyodbc⁠

⁠5.Documentation and guides

Jupyter Notebook⁠

TensorFlow⁠

Docker TensorFlow⁠

Microsoft ODBC 17⁠