env updates for fall2024; change course number and mem reqs

deployments/astro/config/common.yaml

@@ -92,9 +92,9 @@ jupyterhub:
   custom:
     group_profiles:
       # Astro Lab 128, Spring 2024, https://github.com/berkeley-dsep-infra/datahub/issues/5596
-      course::1532117: # Temporarily grant 8G RAM to all students
-        mem_limit: 8G
-        mem_guarantee: 8G
+      course::1537100: # Temporarily bump down to 4G RAM to all students
+        mem_limit: 4G
+        mem_guarantee: 4G
     admin:
       extraVolumeMounts:
         - name: home

deployments/astro/image/environment.yml

@@ -6,106 +6,102 @@ channels:
 
 dependencies:
 - python=3.11.*
-- jupyter-server-proxy==4.2.0
+- jupyter-server-proxy>=4.3
 # A linux desktop environment
 - websockify
-
-- syncthing==1.18.6
-
-- numpy==1.26.*
-- matplotlib==3.8.*
+- numpy==1.26.4
+- numexpr>=2.8.7
+- matplotlib==3.9.*
 - graphviz>=2.50.0
 - psycopg2==2.9.*
-- pytorch==2.3.0
-- torchvision==0.18.*
-- pytorch-lightning==2.2.1
-- pyaudio==0.2.11
-- cython
+- pytorch
+- torchvision
+- pytorch-lightning
 - cartopy
+- pandas>=2.2.2
 - protobuf
-- mkl
-- mkl-service
+- jupysql
 - mpich
 - mpi4py
-- scikit-learn==1.4.*
-- scikit-image==0.19.*
-- scipy==1.11.3
+- mkl
+- mkl-service
+- netcdf4>=1.6
+- scikit-learn==1.5.*
+- scikit-image==0.24.*
+- scipy==1.14.*
+- tensorflow-cpu==2.17.0
+- tensorflow==2.17.0
+- cudatoolkit
+- jax>=0.4.31
+- jaxlib>=0.4.31
+- cython==3.0.11
 - pip
 
 - pip:
-  - jupyter-desktop-server==0.1.3
-  - -r infra-requirements.txt
-  - tensorflow
   - opencv-python>=4.5.5.62
   - nose2>=0.10.0
   - sympy
   - beautifulsoup4
   - tqdm
-  - h5py
-  - netcdf4
-  - numexpr
   - corner==2.2.*
-  - dask>=2021.12.0
-  - dask-ml>=2021.11.30
-  - distributed>=2021.12.0
-  - jaxlib>=0.1.75
-  - SQLAlchemy>=1.4.29
-  - xarray>=0.20.2
-  - nltk>=3.6.7
-  - seaborn>=0.11.2
-  - bqplot>=0.12.31
-  - astroquery>=0.4.5
-  - astropy==5.3.3
-  - dustmaps>=1.0.9
-  - pyvo>=1.2
-  - joblib==1.2.0
-  - aesara>=2.3.4
-  - pymc3>=3.11.4
-  - requests>=2.27.1
+  - dask>=2024.8.1 
+  - dask-ml>=2024.4.4
+  - distributed>=2024.8.1
+  - SQLAlchemy>=2.0.32 
+  - xarray>=2024.7.0
+  - nltk>=3.9.1
+  - seaborn>=0.13.2
+  - bqplot>=0.12.43
+  - astroquery>=0.4.7
+  - astropy>=6.1.2
+  - dustmaps>=1.0.13
+  - pyvo>=1.5.2
+  - joblib==1.4.2
+  - pymc>=5.16.2
+  - requests>=2.32.3
   - ipycanvas
-  - altair>=4.2.0
+  - altair>=5.4.0
   - vega3>=0.13.0
-  - pytz>=2021.3
-  - keras
-  - keras-preprocessing>=1.1.0
-  - tensorflow-io-gcs-filesystem>=0.23.0
+  - pytz>=2024.1
   - lightkurve
-  - ipyparallel>=8.1.0
-  - jupyter-tensorboard>=0.2.0
-  - line_profiler>=3.4.0
-  - snakeviz>=2.1.1
-  - memory_profiler>=0.60.0
-  - flask>=2.0.2
-  - stsci.tools>=4.0.0
-  - gensim>=4.1.2
+  - ipyparallel
+  - line_profiler>=4.1.3
+  - snakeviz>=2.2.0
+  - memory_profiler>=0.61.0
+  - flask>=3.0.3
+  - stsci.tools>=4.1.0
+  - gensim>=4.3.3
   - tweet-preprocessor
   - pyLDAvis==3.4.1
-  - umap-learn>=0.5.2
-  - pydot>=1.4.0
-  - TPOT>=0.11.7
-  - tables>=3.7.0
-  - aiohttp==3.8.5
-  - jax
+  - umap-learn>=0.5.6
+  - pydot>=3.0.1
+  - TPOT>=0.12.2
+  - tables>=3.10.1
+  - aiohttp>=3.10.4
   - watermark
   - autopep8
-  - datashader==0.13.0
-  - holoviews==1.14.7
-  - hvplot==0.7.3
   - vega_datasets
   - vega
   - pandas-bokeh
   - pythreejs
   - ipywidgets
   - ipyvolume
+  - urllib3
+  - six
+  - ipython
+  - notebook
   - click
   - fire
   - pycodestyle
   - flake8
+  - tdtax>=0.1.6
 #  - nb_black
   - pycodestyle_magic
   - twine
-  - otter-grader==3.1.4
+  - otter-grader>=3.1.4
   # for notebook exporting
-  - nbconvert[webpdf]==7.16.4
+  - nbconvert[webpdf]
   - nb2pdf==0.6.2
   - nbpdfexport==0.2.1
+  - pytest-notebook==0.8.1
+  - jupyter-tensorboard>=0.2.0