Multiple environments such as Jupyter and Python have been integrated into ModelArts notebook to support many frameworks, including TensorFlow, MindSpore, PyTorch, and Sp
EnterJupyterLab, a server-client application for interactive coding in Python, Julia, R, and more. JupyterLab provides an environment for developers to create Jupyter Notebooks and scripts. The notebooks are a solution for running organized code snippets (or cells) that operate independently of each...
The current JupyterHub version 2.5.1 does not allow user installed extension for JupyterLab when it is being served from JupyterHub. This should be remedied in version 3. However, even when this is "fixed" it is still useful to be able to install extensions globally for all use...
retrolab/app/package.json Lines 94 to 131 in2a96903 "dependencies": { "@jupyterlab/application-extension":"^3.2.0", "@jupyterlab/apputils-extension":"^3.2.0", "@jupyterlab/celltags":"^3.2.0", "@jupyterlab/codemirror-extension":"^3.2.0", ...
One of the first steps during the development of a project is the selection of libraries or dependencies. When someone runspip install <package-name>, they might not be aware that along with the library that is going to be installed, so-called direct dependency, many other depe...
Anaconda provides a convenient way to manage Python environments, packages, and dependencies, making it easy to work with various data science libraries and tools. It also includes Jupyter Notebook, which is a popular web-based interactive computing environment. ...
I'm in Julia x Jupyter project and I chose to usejupyter/datascience-notebook Docker Imagewhich contains jupyterlab and Julia environment. I want to know what package for Julia is pre-installed injupyter/datascience-notebookand know what extra packages I need to install m...
I am trying to launch jupyter lab in VSCode remote server, capsuled by Docker, but got error saying Unable to start session for kernel Python 3.8.5 64-bit. Select another kernel to launch with. I set up Dockerfile and .devcontainer.json in workspace dir. Do I also need dock...
Then comes thePython framework, which includes more libraries likeTensorFlowandKeras, designed to simplify neural networks even further. How to Use Nvidia GPU for Deep Learning with Ubuntu To use an Nvidia GPU for deep learning on Ubuntu, install theNvidia driver,CUDAtoolkit, andcuDNNlibrary, set...
Note: It’s recommended to install libraries in a virtual environment to keep the dependencies for different projects separate. You can also get started with a DataLab workbook - a Python & R Data Science IDE in the cloud. Using DataLab DataLab is an online Integrated Development Environment...