Simplify image vastly, get rid of R

[yuvipanda]

• Inherit from jupyter/scipy-notebook, so we can reuse all the
  work in terms of setting up jupyterhub, conda, base scientific
  packages, etc. In particular, this should also load the env
  variables set by conda packages (like pyproject), solving
  PENDING END OF SEMESTER: Update utoronto image for geopandas, pyproj, PROJ_LIB/PROJ_DATA environment variables on build infrastructure#2479
• Install only extra packages we want on top, prefering conda wherever
  possible. Bump up versions to latest.
• Get rid of everything R related, as those must move to the R hub.

Fixes 2i2c-org/infrastructure#2479
Ref 2i2c-org/infrastructure#2583 to
reduce complexity of our images.

[github-actions]

👈 Test this PR on Binder

[damianavila]

There is a building failure:

 ---> Running in 55e452c14302
  
  
  Looking for: ['websockify', 'python=3.10', 'networkx=3.1', 'nltk=3.8', 'spacy=3.5', 'geopandas=0.13', 'geopy=2.3', 'astroquery=0.4', 'astropy==5.3', 'galpy=1.8', 'libgfortran==3.0.0', 'tensorflow=2.12', 'nbgitpuller=1.1', 'jupyter-resource-usage=0.7', 'jupytext=1.14', 'rise==5.7.1', 'jupyter_contrib_nbextensions==0.7.0', 'jupyter-server-proxy=4', 'contextily=1.3', 'libpysal=4.7', 'esda=2.4', 'splot=1.1', 'xlrd=2.0', 'numba=0.57', 'python-graphviz=0.20', 'pip']
  
  
  
    Pinned packages:
  
    - python 3.11.4
  
  
  Could not solve for environment specs
  The following packages are incompatible
  ├─ python 3.10**  is requested and can be installed;
  └─ tensorflow 2.12**  does not exist (perhaps a typo or a missing channel).
  Removing intermediate container 55e452c14302
  The command '/bin/bash -o pipefail -c mamba env update -p ${CONDA_DIR} -f /tmp/environment.yml && mamba clean -afy' returned a non-zero code: 1

[yuvipanda]

Current problem:

 Could not solve for environment specs
  The following packages are incompatible
  ├─ libre2-11 is installable and it requires
  │  └─ libabseil >=20230802.1,<20230803.0a0 , which can be installed;
  └─ tensorflow 2.13**  is installable with the potential options
     ├─ tensorflow 2.13.1 would require
     │  └─ tensorflow-base 2.13.1 cpu_py311ha0be21f_1, which requires
     │     └─ libabseil >=20230125.3,<20230126.0a0 , which conflicts with any installable versions previously reported;
     ├─ tensorflow 2.13.1 would require
     │  └─ python >=3.10,<3.11.0a0 , which can be installed;
     ├─ tensorflow 2.13.1 would require
     │  └─ python >=3.8,<3.9.0a0 , which can be installed;
     ├─ tensorflow 2.13.1 would require
     │  └─ python >=3.9,<3.10.0a0 , which can be installed;
     └─ tensorflow 2.13.1 would require
        └─ __cuda, which is missing on the system.

But idk what package actually requires libre2-11

[yuvipanda]

This builds if I get rid of tensorflow, and I suspect conda-forge/tensorflow-feedstock#353 may fix that. In the meantime, I am just getting tensorflow from PyPI.

conda-forge/rise-feedstock#43 is causing RISE to fail to install from conda-forge as well.

[yuvipanda]

Merging so we can deploy to staging and test.