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--- cluster:usage_tips:jupyter [2022/02/17 11:55] – [Adding environment] lukab
+++ cluster:usage_tips:jupyter [2023/03/16 08:48] (current) – [Jupyter] lukab
@@ Line 1: / Line 1: @@
 ====== Jupyter ======
 Jupyter is a notebook-based development platform for Python projects, widely used in machine learning projects.
-JuypyterHub is a service that provides Jypyter notebooks for users on a given machine. Currently, one jupyterHub server is accessible for Sleep Revolution researchers on the computing hub Salamander.
+JuypyterHub is a service that provides Jypyter notebooks for users on a given machine. Currently, one jupyterHub server is accessible for Sleep Revolution researchers on the computing hub Dunwich.
 ===== Access =====
-In order to access the JupyterHub server, access the [[cluster:usage_tips:VPN|VPN]], and navigate to [[http://salamander.sleep.ru.is|salamander.sleep.ru.is]] (if that doesn't work you can also try [[http://130.208.209.2|130.208.209.2]]. You will be greeted with a login screen where you should use your Sleep revolution credentials (without @sleep.ru.is).
+In order to access the JupyterHub server, access the [[cluster:usage_tips:VPN|VPN]], and navigate to [[https://dunwich.sleep.ru.is/jupyter|dunwich.sleep.ru.is/jupyter]]. You will be greeted with a login screen where you should use your Sleep revolution credentials (without @sleep.ru.is).
-===== Usage =====
-The default JupyterHub interface has 3 python environments installed one python3 environment, one TensorFlow environment, and one PyTorch environment.
 ==== Adding environment ====
@@ Line 41: / Line 36: @@
 jupyter kernelspec uninstall myenv
 </code>
+=====Working in Jupyter Notebooks=====
+Now you are ready to create your own Jupyter Notebook. Click the blue plus button in the main screen and select an environment, e.g. your newly created //myenv//.You can change the environment later by selecting a different kernel.
 ==== Installing packages ====
-To install a package, ''superpackage'' for example, to the example environment ''aardvark'' that you created and added to the JupyterHub open a new python console on JupyterHub by selecting the ''aardvark'' environment and executing the
+To install a package, ''examplepackage'' for example, to the example environment ''myenv'' that you created and added to the JupyterHub open a new **python console** on JupyterHub by selecting the ''myenv'' environment and executing
-''conda install superpackage''
+''conda install examplepackage''
-After the installation, you should be able to restart the kernel, and use your new ''superpackage''
+After the installation, you should be able to restart the kernel, and use your new ''examplepackage''
+====Access Data=====
+The path to access data from the sleep database always starts with ///datasets//
+**EXAMPLE:**
+If the name of your data set is "examplesleepstudy" you can read an .csv file in this folder like this:
+<code>
+pd.read_csv("/datasets/examplesleepstudy/examplefile.csv")
+</code>
+In oder to explore the structure of the folder you are trying to access use the terminal to show the contents of the folder:
+<code>
+ls /datasets/examplesleepstudy
+</code>