write conda setup

_posts/conda_setup.md

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-title:  "Draft Post"
+title:  "My Jupyter and Conda setup"
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-categories: 
-  - Jekyll
-tags:
-  - edge case
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+## My conda setup 
 
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+I really like working in Jupyterlab but getting it to work nicely is always a bit challenging, these are my notes for roughly how I have it set up.
 
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+### Conda
+I use miniconda3 with the package directory set up to point to somewhere other than the home directory because the university system I'm working on only gives a small amount of space in your home directory. 
 
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+My ~/.condarc contains:
+```
+channel_priority: strict
+channels:
+  - conda-forge
+  - defaults
+```
+channel_priority: strict is supposed to speed up conda complicated dependency resolution system, and I heard on the grapevine that conda-forge packages tend to be more up to date than the ones in default so I've switched the priority.
+
+I then have a "base" environment where I've install jupyterlab, 
+
+Hint: you can use `conda env export --from-history` to see the packages you actually installed into a conda environment rather than the ones that were installed as dependencies, I wish there were a shorter form for this command because I think it's really useful.
+
+#### Base env
+
+$(base) conda env export --from-history
+name: base
+channels:
+  - conda-forge
+  - defaults
+dependencies:
+  - python=3.8
+  - jupyterlab
+  - jupyterlab-git
+  - nb_conda_kernels
+
+jupyterlab is the package that runs the show, we also have jupyterlab-git which is a git plugin for it and nb_conda_kernels which allows jupyter in the base env to see the other environments on the system.
+
+#### other envs
+Now I have project specific envs where I actually run python code. Here's an example one:
+
+name: fk
+channels:
+  - conda-forge
+  - defaults
+dependencies:
+  - python=3.8
+  - scipy
+  - numpy
+  - matplotlib
+  - munch
+prefix: /home/tch14/miniconda3/envs/fk
+
+
+### Remote Acess
+I often use my laptop to access a Jupyterlab server running on a beefier machine under my desk at work, the ~/.shh/config on my laptop contains 
+```
+host beefyremote
+    user [username]
+	hostname [hostname]
+	proxyJump [a machine that you need to jump through if necessary]
+	IdentityFile ~/.ssh/id_rsa_password_protected
+	#give access to the jupyter server on [beefyremote]:8888 to localhost:8889
+	LocalForward 8889 localhost:8888
+	#LocalCommand 
+```
+
+I open this connection and then run `jupyter lab --no-browser --port=8888` within a tmux session on the remote machine so that the server doesn't die with the connection.