Manage Your Remote Jupyter Notebooks Seamlessly in PyCharm

If you're a developer who frequently works on multiple projects simultaneously, managing packages for each project can be a tedious task. However, with PyCharm's latest feature, you can now easily manage the packages of both your main project and any additional projects attached to it using the Python Packages tool window.

Streamlining Your Workflow

With this new feature, you can perform various tasks related to your remote Jupyter notebooks within PyCharm itself. Here are a few key actions you can take:

* Reconnect to a remote server by selecting Reconnect.

* Fetch the latest remote version of the notebook from the server by selecting Reload from Server.

* Copy, paste, and rename remote Jupyter notebooks between local and remote machines.

These actions can be accessed through the context menu, which offers a range of notebook-related options. This feature simplifies your workflow by allowing you to manage your remote Jupyter notebooks within PyCharm, eliminating the need for separate tools or software.

Server Connection and Project Management

When establishing a successful connection to a remote Jupyter server, PyCharm will display the server in the project view. To attach a remote Jupyter notebook to a project, follow these steps:

1. Open the project you want to attach the remote notebook to in PyCharm.

2. Go to Tools | Add Jupyter Connection and select Connect to Jupyter server using URL.

3. Enter the server URL and complete the connection process.

Once connected, you can easily work with your remote Jupyter notebooks from within PyCharm. With this feature, you can now manage both your local and remote projects seamlessly, without having to switch between different tools or software.

What's New in This Build

The third Early Access Program (EAP) build of PyCharm brings a range of exciting features and enhancements, including the ability to work with remote Jupyter notebooks. Other notable changes include:

* Enhancements to the new UI

* New Astro support

* And more

You can download this latest build from our website, or get it from the free Toolbox App for Mac. For Ubuntu users, you can update your PyCharm version using snaps.

In conclusion, the latest build of PyCharm offers a range of exciting features that enhance your development experience. With its ability to manage remote Jupyter notebooks seamlessly, this feature is sure to simplify your workflow and improve your overall productivity.

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