chore: remove Python 3.8 support

Remove Python 3.8 from all configurations as it has reached end-of-life.
This includes removing the dedicated Python 3.8 Dockerfile, updating
CircleCI configurations to use Python 3.10 instead, and updating the
default Python version in conda Dockerfile to 3.9.

BREAKING CHANGE: Python 3.8 is no longer supported. Users must upgrade
to Python 3.9 or later.

Author: mfranczel

.circleci/config.yml

@@ -268,7 +268,6 @@ jobs:
               ./gpu
 
 python-versions: &python-versions
-  - "3.8"
   - "3.9"
   - "3.10"
   - "3.11"
@@ -324,7 +323,7 @@ workflows:
           cuda-version: "12.6.3"
           ubuntu-version: "20.04"
           tf-version: "2.9.1"
-          python-version: "3.8"
+          python-version: "3.10"
       - build-and-push-gpu:
           name: Tensorflow 2.11, Cuda 12.6, Ubuntu 20.04
           cuda-version: "12.6.3"
@@ -343,7 +342,7 @@ workflows:
           cuda-version: "11.8.0"
           ubuntu-version: "20.04"
           tf-version: "2.9.1"
-          python-version: "3.8"
+          python-version: "3.10"
       - build-and-push-gpu:
           name: Tensorflow 2.11, Cuda 11.8, Ubuntu 20.04
           cuda-version: "11.8.0"

python/conda/Dockerfile.conda

@@ -1,4 +1,4 @@
-ARG PYTHON_VERSION=3.8
+ARG PYTHON_VERSION=3.9
 ARG CIRCLE_PULL_REQUEST
 FROM deepnote/python:base
 
@@ -17,17 +17,12 @@ ENV CONDA_ALWAYS_YES=true
 # but that would require baking in the URLs for
 # different Miniconda installer versions into the Dockerfile.
 ARG PYTHON_VERSION
-RUN if [ "$PYTHON_VERSION" = "3.8" ]; then \
-      # last version of conda compatible with python 3.8
-      MINICONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-py38_23.11.0-2-Linux-x86_64.sh"; \
-    else \
-      MINICONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh"; \
-    fi && \
+RUN MINICONDA_URL="https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh" && \
     wget --quiet $MINICONDA_URL -O /tmp/miniconda.sh && \
     /bin/bash /tmp/miniconda.sh -b -p /opt/conda && \
     rm /tmp/miniconda.sh && \
     # Install the correct version of python (as the time of
-    # writing, anaconda installed python 3.9 by default)
+    # writing, anaconda installed python 3.8 by default)
     /opt/conda/bin/conda install python=${PYTHON_VERSION} && \
     /opt/conda/bin/conda clean --all
 

python/python/Dockerfile.python3.8

@@ -2,8 +2,8 @@
 -  **Maintained by**: [Deepnote](https://deepnote.com/)
 
 # Supported Tags and Respective Dockerfile Links
--  [`3.8`, `3.9`, `3.10`, `3.11`](https://github.com/deepnote/environments/tree/main/python/python)
--  [`3.8-datascience`, `3.9-datascience`, `3.10-datascience`, `3.11-datascience`](https://github.com/deepnote/environments/blob/main/python/datascience/Dockerfile.datascience)
+-  [`3.9`, `3.10`, `3.11`, `3.12`](https://github.com/deepnote/environments/tree/main/python/python)
+-  [`3.9-datascience`, `3.10-datascience`, `3.11-datascience`, `3.12-datascience`](https://github.com/deepnote/environments/blob/main/python/datascience/Dockerfile.datascience)
 
 # What is Deepnote Python?
 Deepnote Python is a set of Docker images tailored for use in the Deepnote platform. These images are based on the official [Python Docker images](https://hub.docker.com/_/python) and include additional binaries and configurations to enhance the user experience within Deepnote. They are designed to simplify development workflows, especially for data science projects, by providing pre-configured environments that are ready to use.