![]() Enter your server details and choose your working folder.After the Poetry installation, you need to your ~/.bashrc as well. If your Python working environment is Poetry based, you need to install poetry for your local user as Poetry installations are per user.by doing git checkout in SSH session git clone :tradingstrategy-ai/example.git SSH in the server with your personal user.You need to run sysctl -system as root after updating /etc/nf. You might need to configure fs.inotify.max_user_watches for your operating system so that P圜harm has enough handles to watch file changes on the remote server.Make sure you have created a local SSH config file for SSH agent forwarding, as you are likely to need this for remote git checkouts and commits.The easiest way to do this is this one-liner which also configures the authorised SSH key for the user. Create a new non-root user for remote development, as Jupyter notebooks do not work as the root user.Set up the new operating system installation.Get a Linux cloud server with some supported operating system like Ubuntu 20.04 or Ubuntu 22.04. Whereas Visual Studio Code can connect to a remote Jupyter Notebook kernel, it cannot run it using its Remote Development feature. Unlike Visual Studio Code, P圜harm can manage remote Jupyter Notebook kernels directly from the IDE. Remote development comes with license restrictions and may only be available for the professional version. They offer a free community version and a professional version. In these cases, you can run your Jupyter Notebook code on a remote development server. You need to use a different operating system (Linux) to run the notebook.The laptop does not have enough RAM to fit the dataset in memory. ![]() You do not have enough network bandwidth to download datasets, or it would take hours or days.Reasons, why your local computer cannot run a notebook, may include: When working with large datasets, like backtesting data for trading, you might need to run Jupyter Notebooks that are too heavy for your local laptop. Python and Jupyter notebooks are the de facto tools of data research. How to develop heavy Jupyter Notebooks using the Remote development feature of P圜harm.
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