To create new Jupyter notebook, open VS Code Command Palette again and run the “ Python: Create Blank New Jupyter Notebook” command. Select the appropriate python environment where Jupyter notebook is installed. Note: Make sure you have installed the latest version of the extension.įirst time, open the VS Code Command Palette with the shortcut CTRL + SHIFT + P (Windows) or Command + SHIFT + P (macOS) in VSCode and select “ Python: Select Interpreter” command. Install the following VS Code extension from the marketplace. If you want to specify port: jupyter notebook -port 9999ĭownload and install VS Code if not already installed. You should see the notebook open in your browser. Start the notebook server from the command line: jupyter notebook Run following command to install it: pip install jupyter Jupyter Notebook is web based interactive environment for writing the code, creating & sharing files and doing visualizations as well. The next is to install Matplotlib- a Python library for 2D plotting and can work together with NumPy. It needs to Install/Update nvidia driver, cuda toolkit, cuDNN and then run following command to install pip install tensorflow-gpuįor more information, check out the official guide here. It is good and recommended for better performance. Note: Install the GPU version of TensorFlow only if you have an Nvidia GPU. It will install all supportive extensions like numpy …etc. TensorFlow is open source deep learning framework by Google, helps us to build and design Deep Learning models.įor simplicity, we will install CPU version of TensorFlow. If there are multiple versions of python installed in the machine then change PATH in environment variable to the installed version and restart terminal to check version. I would suggest to install it with “ customize installation” option and allow all users.Īfter installation, check the Python version on terminal.
Install Pythonĭownload Python 3.7.6 from Tensorflow doesn’t support Python 3.8). In this tutorial, we will cover the following steps:Ħ.
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