Getting Started with Jupyter Notebooks in VS Code. Jupyter notebooks are the go-to tool for data scientists. They make it easy to write and run some code, quickly see the results and then tweak and repeat. Claudia Regio shows how Visual Studio Code has native support for Jupyter notebooks.
Machine Learning Models beyond Jupyter-Notebooks. This article focuses on deploying machine learning models using mnist handwritten digit recognition as a base example implemented in tensorflow-2. We will be cooking up a small web app in React to test our model.
Learn how to integrate Django in Jupyter Notebooks & with Pandas. Jupyter is one of my favorite tools for software development, AI development and much more. Django is one of my favorite web application frameworks.
You can convert Jupyter Notebooks into HTML documents to easily host and share on the web. See how to automate the process with Gatsby.
This Jupyter Notebooks tutorial explains how easy it is to work with Jupyter notebooks in Visual Studio Code. How you can natively edit Jupyter notebooks in Visual Studio Code. Jupyter is an open-source project that enables you to easily combine Markdown text and executable Python source code on one canvas called a notebook. These notebooks contain live code, equations, visualizations and narrative text.