Step 4: An advanced installation window will appear; here, select Add Anaconda to my PATH environment variable and click on Install Anaconda will get installed in our user home directory: Windows 10: C:\Users\<your-username>\Anaconda3\ Steps to Launch Jupyter Notebook You are done with the...
On Windows, you can find this in the Start Menu and on macOS you can find it in Launchpad. Here’s a screenshot of the Anaconda Navigator on Windows: In the screenshot, you can see several installed applications, including JupyterLab, Jupyter Notebook, and Spyder, that you’ll learn ...
If you launch JupyterLab, you should be able to see the environment as a kernel. Create a new notebook and run this snippet to check if TF can detect your GPU: import tensorflow as tf from tensorflow.python.client import device_lib ...
How to Use GPU for Machine Learning on Windows with Jupyter Notebook To use a GPU for machine learning on Windows with Jupyter Notebook, install the CUDA Toolkit and cuDNN library, create a new Anaconda environment, and install required packages like TensorFlow or Keras. Then launch Jupyter No...
Then, use the following commands to create a virtual environment and launch the Jupyter Notebook. The code below works best on Mac OS or Linux and may cause some errors on Windows. $ cd landslide_usecase $ conda env create --file=environment.yml $ conda activate landslide_usecase $ ...
## To activate this environment, use## $ conda activate datasci## To deactivate an active environment, use## $ conda deactivate You can now activate the environment as shown, and then run “jupyterlab” for example to launch a Jupyter lab environment and start coding in Jupyter notebooks. ...
For JupyterLab, you might want to start with a CUDA-enabled base image from NVIDIA and install your packages on top of that. There's no need to install with a pip file first. The Conda installation should suffice. However, make sure that your environment doesn't have any conflicting ...
To test the Spark installation, use the Scala interface to read and manipulate a file. In this example, the name of the file ispnaptest.txt. Open Command Prompt and navigate to the folder with the file you want to use: 1. Launch the Spark shell: ...
Leverage the native DuckDB support in Jupyter Notebooks: Jupyter Lab/Notebook users can run DuckDB queries directly, without the need to use the specific Python functions. This is a great way to explore data faster and keep your notebooks tidy. Always remember how DuckDB handles concurrency: You...
Start JupyterLab on the remote machine Find the link in the launch log and copy it to the browser on the local machine We discuss each step in detail and consider alternative configurations for Jupyter Notebook and JupyterLab: Connect to the Linux machine from your desktop computer (local mach...