diff --git a/.circleci/config.yml b/.circleci/config.yml
new file mode 100644
index 0000000..8b16708
--- /dev/null
+++ b/.circleci/config.yml
@@ -0,0 +1,17 @@
+version: 2.1
+jobs:
+  build:
+    docker:
+      - image: cimg/python:3.12
+    steps:
+      - checkout
+      - setup_remote_docker
+      - run:
+          name: Build image
+          command: docker build --target test -t ds-python .
+      - run:
+          name: Verify build completed
+          command: docker run ds-python /bin/bash -c "echo BUILDS OK"
+      - run:
+          name: Run tests
+          command: docker run ds-python /test_image.py -vv
diff --git a/.circleci/test_image.py b/.circleci/test_image.py
new file mode 100755
index 0000000..04e2df1
--- /dev/null
+++ b/.circleci/test_image.py
@@ -0,0 +1,76 @@
+#!/usr/bin/env python
+
+import os
+import re
+import shutil
+import subprocess
+import unittest
+
+
+# Just use the stdlib's `unittest` rather than needing to install `pytest`.
+class TestImage(unittest.TestCase):
+
+    def test_version(self):
+        version_in_env_var = os.getenv("VERSION")
+        major = os.getenv("VERSION_MAJOR")
+        minor = os.getenv("VERSION_MINOR")
+        micro = os.getenv("VERSION_MICRO")
+        self.assertTrue(major.isdigit())
+        self.assertTrue(minor.isdigit())
+        self.assertTrue(micro.isdigit())
+        self.assertEqual(version_in_env_var, f"{major}.{minor}.{micro}")
+
+        with open("CHANGELOG.md") as changelog:
+            version_in_changelog = re.search(
+                r"##\s+\[(\d+\.\d+\.\d+)]", changelog.read()
+            ).groups()[0]
+        self.assertEqual(version_in_changelog, version_in_env_var)
+
+    def test_scipy_links_to_openblas(self):
+        from scipy.linalg import _fblas  # noqa: F401
+
+    def test_numpy_can_import(self):
+        import numpy as np  # noqa: F401
+
+    def test_sklearn_can_import(self):
+        import sklearn  # noqa: F401
+
+    def test_civis_can_import(self):
+        import civis  # noqa: F401
+        # civis-python uses lazy imports since v2.3.0,
+        # so try to import the top-level modules.
+        import civis.io  # noqa: F401
+        import civis.parallel  # noqa: F401
+        import civis.futures  # noqa: F401
+        import civis.ml  # noqa: F401
+        import civis.utils  # noqa: F401
+
+    def test_shell_commands_available(self):
+        """Ensure the main shell commands are available."""
+        # A non-exhaustive list of commands -- we just test those we'd likely use.
+        expected_cmds = "aws civis curl git pip python unzip uv wget".split()
+        for cmd in expected_cmds:
+            self.assertIsNotNone(shutil.which(cmd), f"{cmd} not found in PATH")
+
+    def _test_shell_command(self, cmd: str):
+        """Check if the shell command runs successfully in the image."""
+        try:
+            subprocess.check_call(cmd, shell=True)
+        except subprocess.CalledProcessError as e:
+            self.fail(
+                f"apt-get test failed with return code {e.returncode}\n"
+                f"stdout: {e.stdout}\n"
+                f"stderr: {e.stderr}"
+            )
+
+    def test_apt_get(self):
+        """Ensure that apt-get works in the image."""
+        self._test_shell_command("apt-get update -y && apt-get install -y htop")
+
+    def test_uv(self):
+        """Ensure that uv works in the image."""
+        self._test_shell_command("uv pip install python-iso639")
+
+
+if __name__ == "__main__":
+    unittest.main()
diff --git a/.condarc b/.condarc
deleted file mode 100644
index 364cb1a..0000000
--- a/.condarc
+++ /dev/null
@@ -1,7 +0,0 @@
-channels:
-    - defaults
-
-show_channel_urls: True
-
-create_default_packages:
-    - nomkl
diff --git a/.github/ISSUE_TEMPLATE/general.md b/.github/ISSUE_TEMPLATE/general.md
new file mode 100644
index 0000000..5e6ede5
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/general.md
@@ -0,0 +1,11 @@
+---
+name: General
+about: Ask a question, report a potential issue, etc.
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+**Note:** Civis employees should _not_ use the GitHub Issues feature at the public "civis-python" codebase
+to file a ticket, and should instead use the internal ticketing system.
diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md
new file mode 100644
index 0000000..83b1957
--- /dev/null
+++ b/.github/PULL_REQUEST_TEMPLATE.md
@@ -0,0 +1,9 @@
+
+
+---
+
+- [ ] (For Civis employees only) Reference to a relevant ticket in the pull request title
+- [ ] Changelog entry added to `CHANGELOG.md` at the repo's root level
+- [ ] Description of change in the pull request description
+- [ ] If applicable, unit tests have been added and/or updated
+- [ ] The CircleCI builds have all passed
diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..c1d6aa5
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,2 @@
+.venv
+.vscode
diff --git a/CHANGELOG.md b/CHANGELOG.md
index 738fe07..c4a22c6 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -5,12 +5,388 @@ All changes to this project will be documented in this file.
 Version number changes (major.minor.micro) in this package denote the following:
 - A micro version will increase if the only change in a release is incrementing micro versions (bugfix-only releases) on the packages contained in this image.
 - A minor version will increase if one or more packages contained in the Docker image add new, backwards-compatible features, or if a new package is added to the Docker image.
-- A major version will increase if there are any backwards-incompatible changes in any of the packages contained in this Docker image, or any other backwards-incompabile changes in the execution environment.
+- A major version will increase if there are any backwards-incompatible changes in any of the packages contained in this Docker image, or any other backwards-incompatible changes in the execution environment.
 
 ## Unreleased
+
+## [8.3.0]
+
+- Python version updated: 3.12.8 -> 3.13.5
+- uv version updated: 0.5.18 -> 0.7.19
+- New core dependencies added:
+  * polars 1.31.0 (supported by civis-python since v2.6.0)
+- Core dependencies updated to latest versions:
+  * awscli 2.22.33 -> 2.27.48
+  * boto3 1.35.97 -> 1.39.2
+  * civis 2.4.3 -> 2.7.1
+  * numpy 2.2.1 -> 2.3.1
+  * pandas 2.2.3 -> 2.3.0
+  * requests 2.32.3 -> 2.32.4
+  * scikit-learn 1.6.1 -> 1.7.0
+  * scipy 1.15.1 -> 1.16.0
+
+## [8.2.0]
+
+- Python version updated: 3.12.7 -> 3.12.8
+- uv version updated: 0.5.1 -> 0.5.18
+- Core dependencies updated to latest versions:
+  * awscli 2.19.5 -> 2.22.33
+  * boto3 1.35.58 -> 1.35.97
+  * civis 2.4.0 -> 2.4.3
+  * numpy 2.1.3 -> 2.2.1
+  * scikit-learn 1.5.2 -> 1.6.1
+  * scipy 1.14.1 -> 1.15.1
+
+## [8.1.0]
+
+- Python version updated to v3.12.7
+- Core dependencies updated to latest versions:
+  * awscli 2.17.37 -> 2.19.5
+  * boto3 1.34.127 -> 1.35.58
+  * civis 2.3.0 -> 2.4.0
+  * numpy 2.0.0 -> 2.1.3
+  * pandas 2.2.2 -> 2.2.3
+  * scikit-learn 1.5.0 -> 1.5.2
+  * scipy 1.13.1 -> 1.14.1
+- uv added to the image
+
+## [8.0.1]
+
+- Python version updated to v3.12.6
+
+## [8.0.0]
+- Core dependencies updated to latest versions:
+  * awscli 1.33.9 -> 2.17.37
+- Python version updated to v3.12.5
+- Fixes apt-get for debian package installations
+
+## [7.3.0]
+- Core dependencies updated to latest versions:
+  * awscli 1.32.112 -> 1.33.9
+  * boto3 1.34.112 -> 1.34.127
+  * civis 2.1.0 -> 2.3.0
+  * numpy 1.26.4 -> 2.0.0
+  * requests 2.32.2 -> 2.32.3
+- Python version updated to v3.12.4
+
+## [7.2.0]
+- Core dependencies updated to latest versions:
+  * awscli 1.32.109 -> 1.32.112
+  * boto3 1.34.109 -> 1.34.112
+  * civis 2.0.0 -> 2.1.0
+  * scipy 1.13.0 -> 1.13.1
+
+## [7.1.0]
+- Python updated to v3.12.3
+- Core dependencies updated to latest versions:
+  * awscli 1.29.5 -> 1.32.109
+  * boto3 1.28.5 -> 1.34.109
+  * civis 1.16.1 -> 2.0.0
+  * numpy 1.25.1 -> 1.26.4
+  * pandas 2.0.3 -> 2.2.2
+  * requests 2.31.0 -> 2.32.2
+  * scikit-learn 1.3.0 -> 1.5.0
+  * scipy 1.11.1 -> 1.13.0
+
+## [7.0.0]
+- Python updated to v3.11.4
+- Refactors Dockerfile to use the official Python docker image
+- Removes Conda Dependency
+- Keeps only the core data science python packages
+
+## [6.5.1]
+### Package Updates
+- Pin cffi at 1.14.0 (#85)
+
+## [6.5.0]
+### Package Updates
+- civis 1.15.1 -> 1.16.0 (#84)
+- Removed pubnub - not considered a breaking change, as it was a dependency for `civis` (#84)
+
+## [6.4.0]
+### Package Updates
+- PyYAML 3.13 -> 5.2.0
+
+## [6.3.1]
+### Package Updates
+- civis 1.15.0 -> 1.15.1 (#81)
+
+## [6.3.0]
+### Package Updates
+- civis 1.14.0 -> 1.15.0 (#79)
+- tensorflow 1.15.2 -> 1.15.4 (#79)
+
+## [6.2.1]
+### Package Updates
+- civis 1.14.0 -> 1.14.1 (#78)
+
+## [6.2.0]
+### Package Updates
+- civis 1.13.0 -> 1.14.0 (#77)
+- muffnn 2.3.0 -> 2.3.1 (#77)
+- tensorflow 1.13.1 -> 1.15.2 (#77)
+
+## [6.1.0]
+### Package Updates
+- civis 1.12.1 -> 1.13.0 (#76)
+
+## [6.0.0]
+### Changed
+- Python 3.7.1 -> 3.7.6 (#74)
+- Conda 4.6.8 -> 4.8.1 (#74)
+
+### Removed Packages
+- removes python-simple-hipchat (#75)
+
+### New Packages
+- explicitly installs pip=20.0.2 (#75)
+
+### Package Updates
+- awscli 1.16.121 -> 1.17.15 (#75)
+- beautifulsoup4 4.7.1 -> 4.8.2 (#75)
+- botocore 1.12.111 -> 1.14.15 (#75)
+- boto3 1.9.111 -> 1.11.15 (#75)
+- bqplot 0.11.5 -> 0.12.3 (#75)
+- civis 1.9.4 -> 1.12.1 (#74)
+- civisml-extensions 0.1.10 -> 0.2.1 (#74)
+- cloudpickle 0.8.0 -> 1.2.2 (#74)
+- cython 0.29.6 -> 0.29.15 (#75)
+- dask 1.1.4 -> 2.10.1 (#75)
+- dropbox 9.3.0 -> 9.4.0 (#75)
+- ipython 7.3.0 -> 7.12.0 (#75)
+- ipywidgets 7.4.2 -> 7.5.1 (#75)
+- jinja2 2.10 -> 2.11.1 (#75)
+- joblib 0.11.0 -> 0.14.1 (#74)
+- jsonschema 3.0.1 -> 3.2.0 (#75)
+- libtiff 4.0.10 -> 4.1.0 (#75)
+- libxml2 2.9.8 -> 2.9.10 (#75)
+- matplotlib 3.0.3 -> 3.1.3 (#75)
+- muffnn 2.2.0 -> 2.3.0 (#74)
+- nomkl 1.0 -> 3.0 (#74)
+- notebook 5.7.5 -> 6.0.3 (#75)
+- numexpr 2.6.9 -> 2.7.1 (#75)
+- numpy 1.16.2 -> 1.17.3 (#74)
+- openblas 0.3.5 -> 0.3.6 (#68, #70)
+- pandas 0.24.1 -> 0.25.3 (#74)
+- psycopg2 2.7.7 -> 2.8.4 (#75)
+- pubnub 4.1.2 -> 4.3.0 (#75)
+- pyarrow 0.12.1 -> 0.16.0 (#75)
+- pytest 4.3.0 -> 5.3.5 (#75)
+- requests 2.21.0 -> 2.22.0 (#75)
+- s3fs 0.2.0 -> 0.4.0 (#75)
+- scipy 1.2.0 -> 1.4.1 (#74)
+- scikit-learn 0.19.2 -> 0.22.1 (#74)
+- seaborn 0.9.0 -> 0.10.0 (#75)
+- statsmodels 0.9.0 -> 0.11.0 (#75)
+- urllib3 1.24.1 -> 1.25.7 (#75)
+
+### Added
+- added buildspecs for autobuilding and pushing Docker image to Amazon ECR (#69)
+
+## [5.0.0] - 2019-03-12
+### Changed
+- Ubuntu 14.04 -> 18.04 (#67)
+- python 3.6.4 -> 3.7.1
+- conda 4.3.30 -> 4.6.8
+
+### New Packages
+- explicitly installs click=6.7
+
+### Package Updates
+- awscli 1.15.4 -> 1.16.121
+- beautifulsoup4 4.5.3 -> 4.7.1
+- botocore 1.10.4 -> 1.12.111
+- boto 2.46.1 -> 2.49.0
+- boto3 1.7.4 -> 1.9.111
+- bqplot 0.10.2 -> 0.11.5
+- cloudpickle 0.5.2 -> 0.8.0
+- cython 0.27.3 -> 0.29.6
+- dask 0.17.2 -> 1.1.4
+- ipython 6.1.0 -> 7.3.0
+- ipywidgets 7.1.0 -> 7.4.2
+- jinja2 2.9.6 -> 2.10
+- jsonschema 2.5.1 -> 3.0.1
+- libtiff 4.0.6 -> 4.0.10
+- libxml2 2.9.2 -> 2.9.8
+- matplotlib 2.2.2 -> 3.0.3
+- notebook 5.4.1 -> 5.7.5
+- numexpr 2.6.2 -> 2.6.9
+- numpy 1.13.3 -> 1.16.2
+- openblas 0.2.20 -> 0.3.5
+- pandas 0.22.0 -> 0.24.1
+- patsy 0.4.1 -> 0.5.1
+- psycopg2 2.6.2 -> 2.7.7
+- pyarrow 0.8.0 -> 0.12.1
+- pytest 3.1.3 -> 4.3.0
+- pyyaml 3.12 -> 3.13
+- requests 2.18.4 -> 2.21.0
+- s3fs 0.1.2 -> 0.2.0
+- seaborn 0.8 -> 0.9.0
+- scipy 1.0.1 -> 1.2.0
+- scikit-learn 0.19.1 -> 0.19.2
+- statsmodels 0.8.0 -> 0.9.0
+- urllib3 1.22 -> 1.24.1
+- xgboost 0.6a2 -> 0.81
+- civis 1.9.0 -> 1.9.4
+- civisml-extensions 0.1.8 -> 0.1.10
+- dropbox 7.1.1 -> 9.3.0
+- glmnet 2.0.0 -> 2.1.1
+- muffnn 2.1.0 -> 2.2.0
+- pubnub 4.0.13 -> 4.1.2
+- requests-toolbelt 0.8.0 -> 0.9.1
+- tensorflow 1.7.0 -> 1.13.1
+
+### Maintenance
+- Update CircleCI config to v2 (#62).
+- Test that tensorflow imports successfully (#67).
+
+## [4.2.0] - 2018-04-26
+### Package Updates
+- civis 1.8.1 -> 1.9.0
+- civisml-extensions 0.1.6 -> 0.1.8
+- muffnn 2.0.0 -> 2.1.0
+
+- dask 0.15.4 (pip) -> 0.17.2 (conda)
+- tensorflow 1.4.1 -> 1.7.0
+- ipython 6.1.0 -> 6.3.1
+- matplotlib 2.1.0 -> 2.2.2
+- notebook 5.2.2 -> 5.4.1
+- scipy 1.0.0 -> 1.0.1
+- urllib3 1.22 (pip) -> 1.22 (conda)
+
+## [4.1.0] - 2018-04-19
+### Added
+- Added a link in the README directing users who may be reading documentation on DockerHub to instead go to GitHub (#56).
+
+### Package Updates
+- awscli 1.11.75 (from pip) -> 1.15.4 (from conda)
+- botocore 1.5.38 -> 1.10.4
+- boto3 1.5.11 -> 1.7.4
+
+## [4.0.1] - 2018-02-01
+### Package Updates
+- civis 1.8.0 -> 1.8.1
+
+## [4.0.0] - 2018-01-23
+### New packages
+- bqplot 0.10.2
+- feather-format 0.4.0
+
+### Changed
+- Updated Python version from 3.6.2 to 3.6.4.
+
+### Package Updates
+- civis 1.7.1 -> 1.8.0
+- civisml-extensions 0.1.5 -> 0.1.6
+- muffnn 1.2.0 -> 2.0.0
+- cloudpickle 0.5.1 -> 0.5.2
+- dask 0.15.4 -> 0.16.1
+- ftputil 3.3.1 -> 3.4
+- tensorflow 1.4.0 -> 1.4.1
+- boto3 1.4.5 -> 1.5.11
+- cython 0.26 -> 0.27.3
+- openblas 0.2.19 -> 0.2.20
+- pandas 0.21.0 -> 0.22.0
+- pyarrow 0.7.1 -> 0.8.0
+- scipy 0.19.1 -> 1.0.0
+- ipywidgets 7.0.0 -> 7.1.0
+- notebook 5.2.0 -> 5.2.2
+
+### Fixed
+- Enabled widgetsnbextension so that ipywidgets works.
+- Suppress irrelevant warning from tensorflow v1.4
+
+## [3.3.0] - 2017-11-17
+### Package Updates
+- civis 1.6.2 -> 1.7.1
+
+### New packages
+- civisml-extensions 0.1.5
+- dask 0.15.4
+- s3fs 0.1.2
+
+### Changed
+- Moved conda to version 4.3.30
+
+### Package Updates
+- boto3 1.4.4 -> 1.4.5
+- matplotlib 2.0.2 -> 2.1.0
+- numpy 1.13.1 -> 1.13.3
+- pandas 0.20.3 -> 0.21.0
+- pyarrow 0.5.0 -> 0.7.1
+- scikit-learn 0.19.0 -> 0.19.1
+- cloudpickle 0.3.1 -> 0.5.1
+- muffnn 1.1.2 -> 1.2.0
+- pubnub 4.0.12 -> 4.0.13
+- tensorflow 1.2.1 -> 1.4.0
+
+## [3.2.0] - 2017-09-11
+### Package Updates
+- scikit-learn 0.18.2 -> 0.19.0
+- civis 1.6.0 -> 1.6.2
+- requests 2.14.2 -> 2.18.4
+- urllib3 1.19 -> 1.22
+
+## [3.1.0] - 2017-07-31
+### New packages
+- cloudpickle 0.3.1
+- pyarrow 0.5.0 (from conda-forge)
+
+### Python
+- Update from v3.6.1 to v3.6.2
+
+### Package Updates
+- civis 1.5.2 -> 1.6.0
+- cython 0.25.2 -> 0.26
+- ipython 6.0.0 -> 6.1.0
+- jinja2 2.8 -> 2.9.6
+- numpy 1.12.1 -> 1.13.1
+- pandas 0.20.1 -> 0.20.3
+- pytest 3.0.5 -> 3.1.3
+- seaborn 0.7.1 -> 0.8
+- scipy 0.19.0 -> 0.19.1
+- scikit-learn 0.18.1 -> 0.18.2
+- pubnub 4.0.10 -> 4.0.12
+- requests-toolbelt 0.7.1 -> 0.8.0
+- tensorflow 1.1.0 -> 1.2.1
+
+### Changed
+- Install xgboost from conda-forge instead of from PyPI
+
+### Fixes
+- Use /tmp for joblib temporary files instead of /shm
+
+
+## [3.0.1] - 2017-05-25
+### Package Updates
+- muffnn 1.1.1 -> 1.1.2
+
+## [3.0.0] - 2017-05-17
+### Package updates
+- civis 1.4.0 -> 1.5.2
+- ipython 5.1.0 -> 6.0.0
+- matplotlib 2.0.0 -> 2.0.2
+- pandas 0.19.2 -> 0.20.1
+- requests 2.13.0 -> 2.14.2
+
+## [2.2.0] - 2017-05-02
 ### Removed
 - Remove pinned conda installs of `libgcc` and `libsodium`. This prevented use of the environment file in OS X, and they are dependencies automatically installed by conda in the Docker image build.
 
+### Additions
+- Explicitly added `botocore` v1.5.38. We had `botocore` installed before (it's a dependency of other AWS libraries), but we're now explicitly including the version number.
+
+### Package updates
+- python 3.6.0 -> 3.6.1
+- awscli 1.11.60 -> 1.11.75
+- boto 2.45.0 -> 2.46.1
+- boto3 1.4.3 -> 1.4.4
+- numpy 1.12.0 -> 1.12.1
+- pubnub 4.0.8 -> 4.0.10
+- requests 2.12.4 -> 2.13.0
+- scipy 0.18.1 -> 0.19.0
+- muffnn 1.0.0 -> 1.1.1
+- tensorflow 1.0.0 -> 1.1.0
 
 ## [2.1.0] - 2017-03-17
 ### Changed
diff --git a/Dockerfile b/Dockerfile
index e892a38..0e9ab9b 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,98 +1,70 @@
-FROM ubuntu:14.04
-MAINTAINER support@civisanalytics.com
+ARG PLATFORM=linux/x86_64
+ARG BASE_IMAGE=python:3.13.5-slim
 
-# Ensure UTF-8 locale.
-RUN locale-gen en_US.UTF-8
+FROM --platform=$PLATFORM $BASE_IMAGE AS uv-installed
 
-# Set environment variables for UTF-8, conda, and shell environments
-ENV LANG=en_US.UTF-8 \
-    LANGUAGE=en_US:en \
-    LC_ALL=en_US.UTF-8 \
-    CONDARC=/opt/conda/.condarc \
-    BASH_ENV=/etc/profile \
-    PATH=/opt/conda/bin:$PATH \
-    CIVIS_CONDA_VERSION=4.3.11 \
-    CIVIS_PYTHON_VERSION=3.6.0
+# Disable pip warnings https://stackoverflow.com/a/72551258
+ENV PIP_ROOT_USER_ACTION=ignore
+
+LABEL maintainer=support@civisanalytics.com
 
 RUN DEBIAN_FRONTEND=noninteractive apt-get update -y --no-install-recommends && \
+  apt-get install -y --no-install-recommends locales && \
+  locale-gen en_US.UTF-8 && \
   apt-get install -y --no-install-recommends software-properties-common && \
   apt-get install -y --no-install-recommends \
-        make \
-        automake \
-        libpq-dev \
-        libffi-dev \
-        gfortran \
-        g++ \
-        git \
-        libboost-program-options-dev \
-        libtool \
-        libxrender1 \
-        wget \
-        ca-certificates \
-        curl && \
+  make \
+  automake \
+  libpq-dev \
+  libffi-dev \
+  gfortran \
+  g++ \
+  git \
+  libboost-program-options-dev \
+  libtool \
+  libxrender1 \
+  wget \
+  ca-certificates \
+  curl \
+  mandoc \
+  unzip && \
   apt-get clean -y && \
   rm -rf /var/lib/apt/lists/*
 
-# Conda install.
-#
-# Everything is installed in the root environment. This allows for
-# upgrades to the packages and eliminates the pain of trying to activate
-# some other environment automatically for the many different ways
-# people can use a docker image.
-#
-# Things are pinned to prevent upgrades from conda and force it to
-# resolve dependencies relative to a fixed conda & python version.
-#
-# Note that the python version is also listed in the enviornment.yml
-# file. The version in CIVIS_PYTHON_VERSION is the source of truth.
-# If you want to change the python version, you need to change it in
-# **both** places. The python version has been left in the `environment.yml`
-# file so that people can create environments equivalent to this
-# container.
-#
-# The ordering of these steps seems to matter. You seem to have to
-# install a specific python version by hand and then pin it.
-# 1) install conda
-# 2) pin conda to the version given by CIVIS_CONDA_VERSION
-# 3) install the python version CIVIS_PYTHON_VERSION
-# 4) pin the python version
-#
-# Extra symlinks are added at the end because...
-#   Red Hat and Debian use different names for this file. git2R wants the latter.
-#   See conda-recipes GH 423
-RUN echo 'export PATH=/opt/conda/bin:$PATH' > /etc/profile.d/conda.sh && \
-    wget --quiet https://repo.continuum.io/miniconda/Miniconda3-${CIVIS_CONDA_VERSION}-Linux-x86_64.sh && \
-    /bin/bash /Miniconda3-${CIVIS_CONDA_VERSION}-Linux-x86_64.sh -b -p /opt/conda && \
-    rm Miniconda3-${CIVIS_CONDA_VERSION}-Linux-x86_64.sh && \
-    /opt/conda/bin/conda install --yes conda==${CIVIS_CONDA_VERSION} && \
-    echo "conda ==${CIVIS_CONDA_VERSION}" > /opt/conda/conda-meta/pinned && \
-    conda install --yes python==${CIVIS_PYTHON_VERSION} && \
-    echo "python ==${CIVIS_PYTHON_VERSION}" >> /opt/conda/conda-meta/pinned && \
-    conda clean --all -y && \
-    ln -s /opt/conda/lib/libopenblas.so /opt/conda/lib/libblas.so && \
-    ln -s /opt/conda/lib/libopenblas.so /opt/conda/lib/liblapack.so && \
-    ln -s /opt/conda/lib/libssl.so /opt/conda/lib/libssl.so.6 && \
-    ln -s /opt/conda/lib/libcrypto.so /opt/conda/lib/libcrypto.so.6
+# Install uv.
+ADD https://astral.sh/uv/0.7.19/install.sh /uv-installer.sh
+RUN sh /uv-installer.sh && rm /uv-installer.sh
+ENV PATH="/root/.local/bin/:$PATH" \
+  UV_SYSTEM_PYTHON=1
+
+# This is the primary build target used for the production image
+FROM --platform=$PLATFORM uv-installed AS production
+
+COPY requirements-full.txt .
+
+RUN uv pip install --no-progress --no-cache -r requirements-full.txt && \
+  rm requirements-full.txt
+
+# Instruct joblib to use disk for temporary files. Joblib defaults to
+# /shm when that directory is present. In the Docker container, /shm is
+# present but defaults to 64 MB.
+# https://github.com/joblib/joblib/blob/0.11/joblib/parallel.py#L328L342
+ENV JOBLIB_TEMP_FOLDER=/tmp
+
+ENV VERSION=8.3.0 \
+  VERSION_MAJOR=8 \
+  VERSION_MINOR=3 \
+  VERSION_MICRO=0
 
-# Install boto in the base environment for private s3 channel support.
-# Install Python Packages
-COPY .condarc /opt/conda/.condarc
-COPY environment.yml environment.yml
-RUN conda install -y boto && \
-    conda install -y nomkl && \
-    conda env update -f environment.yml -n root && \
-    conda clean --all -y && \
-    rm -rf ~/.cache/pip
+# This build target is for testing in CircleCI.
+FROM --platform=$PLATFORM production AS test
+COPY .circleci/test_image.py .
+COPY CHANGELOG.md .
 
-# We aren't running a GUI, so force matplotlib to use
-# the non-interactive "Agg" backend for graphics.
-# Run matplotlib once to build the font cache.
-ENV MATPLOTLIBRC=${HOME}/.config/matplotlib/matplotlibrc
-RUN mkdir -p ${HOME}/.config/matplotlib && \
-    echo "backend      : Agg" > ${HOME}/.config/matplotlib/matplotlibrc && \
-    python -c "import matplotlib.pyplot"
+# This build target is for updating dependencies.
+# See generate-requirements.full.sh.
+FROM --platform=$PLATFORM uv-installed AS update-deps
+CMD ["/bin/bash"]
 
-ENV VERSION=2.1.0 \
-    VERSION_MAJOR=2 \
-    VERSION_MINOR=1 \
-    VERSION_MICRO=0
+# Default to the production build target.
+FROM production
diff --git a/README.md b/README.md
index a084091..ea97734 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 
 [![CircleCI](https://circleci.com/gh/civisanalytics/datascience-python/tree/master.svg?style=svg)](https://circleci.com/gh/civisanalytics/datascience-python/tree/master)
 
-This image is created from the official Ubuntu 14.04 Docker image and contains popular Python packages for data science.
+If you are reading this README on DockerHub, then the links to files in the GitHub repository will be broken. Please read this documentation from [GitHub](https://github.com/civisanalytics/datascience-python) instead.
 
 # Introduction
 
@@ -33,7 +33,7 @@ to retrieve a reproducible environment.
 
 Inside the datascience-python Docker image, Python packages are installed in the `root`
 environment. For a full list of included Python libraries, see the
-[environment.yml](environment.yml) file.
+[requirements-core.txt](requirements-core.txt) file.
 
 To start a Docker container from the datascience-python image and
 interact with it from a bash prompt, use
@@ -54,21 +54,26 @@ VERSION_MAJOR
 VERSION_MINOR
 VERSION_MICRO
 ```
-VERSION contains the full version string, e.g. "1.0.3". VERSION_MAJOR,
+VERSION contains the full version string, e.g., "1.0.3". VERSION_MAJOR,
 VERSION_MINOR, and VERSION_MICRO each contain a single integer.
 
-# Creating Equivalent Local Environments
+## Joblib Temporary Files
+
+The [`joblib`](https://pythonhosted.org/joblib/) library enhances multiprocessing
+capabilities for scientific Python computing. In particular, the `scikit-learn`
+library uses `joblib` for parallelization. This Docker image sets `joblib`'s
+default location for staging temporary files to the /tmp directory.
+The normal default is /shm. /shm is a RAM disk which defaults to a 64 MB size
+in Docker containers, too small for typical scientific computing.
 
-The `environment.yml` file in this repo can be used to create a python environment that is
-equivalent to the one in the container. This environment will be named `datascience`.
-The environment installs in Ubuntu Linux (this is the OS of the Dockerfile).
-It will install in OS X, but the `xgboost` install requires either
-the `gcc` v5 or the `clang-omp` compiler, neither of which are natively provided in OS X.
-If you wish to set up this environment in OS X, you may either
-- Remove `xgboost` from the `environment.yml` file before using it to create the environment
-- Use [Homebrew](https://brew.sh/) to install `gcc-5`. You can do that via
-`brew install gcc@5 --without-multilib`. Be warned that this installation will take
-a long time.
+# Updating Existing Package Versions
+1. Update versions of existing packages in `requirements-core.txt`
+2. Run script `generate-requirements-full.sh`
+
+# Creating Equivalent Local Environments
+1. Create a new python environment `python  -m venv .venv`.
+2. Activate your new python environment `source .venv/bin/activate`
+3. Install requirements.txt `pip install -r requirements-full.txt`
 
 # Contributing
 
@@ -83,9 +88,9 @@ and describe any changes in the [change log](CHANGELOG.md).
 ## For Maintainers
 
 This repo has autobuild enabled. Any PR that is merged to master will
-be built as the `latest` tag on Dockerhub.
+be built as the `latest` tag on DockerHub.
 Once you are ready to create a new version, go to the "releases" tab of the repository and click
-"Draft a new release". Github will prompt you to create a new tag, release title, and release
+"Draft a new release". GitHub will prompt you to create a new tag, release title, and release
 description. The tag should use semantic versioning in the form "vX.X.X"; "major.minor.micro".
 The title of the release should be the same as the tag. Include a change log in the release description.
 Once the release is tagged, DockerHub will automatically build three identical containers, with labels
diff --git a/buildspec/merge_master.yaml b/buildspec/merge_master.yaml
new file mode 100644
index 0000000..27fcd9d
--- /dev/null
+++ b/buildspec/merge_master.yaml
@@ -0,0 +1,14 @@
+version: 0.2
+phases:
+  pre_build:
+    commands:
+      - echo Logging in to Amazon ECR...
+      - aws ecr get-login-password --region ${AWS_DEFAULT_REGION} | docker login --username AWS --password-stdin ${FIPS_REPOSITORY_URI}
+  build:
+    commands:
+      - echo Building the Docker image...
+      - docker build -t ${FIPS_REPOSITORY_URI}:latest .
+      - docker image push --all-tags  ${FIPS_REPOSITORY_URI}
+  post_build:
+    commands:
+      - echo Build completed!
diff --git a/buildspec/push.yaml b/buildspec/push.yaml
new file mode 100644
index 0000000..0f10bc4
--- /dev/null
+++ b/buildspec/push.yaml
@@ -0,0 +1,19 @@
+version: 0.2
+phases:
+  build:
+    commands:
+      - echo Logging in to Amazon ECR...
+      - aws ecr get-login-password --region ${AWS_DEFAULT_REGION} | docker login --username AWS --password-stdin ${FIPS_REPOSITORY_URI}
+      - export COMMIT_HASH_SHORT="$(echo $COMMIT_HASH | cut -c 1-7)"
+      - echo Building the Docker image...
+      - echo $FIPS_REPOSITORY_URI
+      - echo $COMMIT_HASH_SHORT
+      - echo $BRANCH_NAME
+      - docker build --tag ${FIPS_REPOSITORY_URI}:${COMMIT_HASH_SHORT} --tag ${FIPS_REPOSITORY_URI}:${BRANCH_NAME} .
+      # We have a life cycle policy in place to expire and delete images from dev branches,
+      # so there are no issues with pushing as many of these images as there may be.
+      - docker image push --all-tags ${FIPS_REPOSITORY_URI}
+  post_build:
+    commands:
+      - echo Build completed!
+      - printf '{"tag":"%s"}' $COMMIT_HASH_SHORT > build.json
diff --git a/buildspec/release.yaml b/buildspec/release.yaml
new file mode 100644
index 0000000..add6384
--- /dev/null
+++ b/buildspec/release.yaml
@@ -0,0 +1,17 @@
+
+version: 0.2
+phases:
+  build:
+    commands:
+      - echo Logging in to Amazon ECR...
+      - aws ecr get-login-password --region ${AWS_DEFAULT_REGION} | docker login --username AWS --password-stdin ${FIPS_REPOSITORY_URI}
+      - echo Building the Docker image...
+      - PATCH_TAG=${TAG_NAME#"v"} # major.minor.patch
+      - MINOR_TAG=${PATCH_TAG%.*} # major.minor
+      - MAJOR_TAG=${MINOR_TAG%.*} # major
+      - docker build -t ${FIPS_REPOSITORY_URI}:${PATCH_TAG} -t ${FIPS_REPOSITORY_URI}:${MINOR_TAG} -t ${FIPS_REPOSITORY_URI}:${MAJOR_TAG} .
+      - docker image push --all-tags  ${FIPS_REPOSITORY_URI}
+  post_build:
+    commands:
+      - echo Build completed!
+      - printf '{"tag":"%s"}' $TAG_NAME > build.json
diff --git a/circle.yml b/circle.yml
deleted file mode 100644
index 3ea7fa4..0000000
--- a/circle.yml
+++ /dev/null
@@ -1,17 +0,0 @@
-machine:
-    services:
-        - docker
-
-dependencies:
-    override:
-        - docker build -t civisanalytics/datascience-python .
-
-test:
-    override:
-        - docker run civisanalytics/datascience-python /bin/bash -c "echo BUILDS OK"
-        - docker run civisanalytics/datascience-python python -c "from scipy.linalg import _fblas"
-        - docker run civisanalytics/datascience-python python -c "import numpy, os; import matplotlib.pyplot as plt; x = numpy.arange(100); y = numpy.sin(x); plt.plot(x, y);"
-        - docker run civisanalytics/datascience-python python -c "import seaborn"
-        - docker run -t civisanalytics/datascience-python /bin/bash -c "python -c 'import numpy'"
-        - docker run civisanalytics/datascience-python python -c "from numpy.distutils import system_info; assert system_info.get_info('mkl') == {}"
-        - docker run civisanalytics/datascience-python python -c "import numpy; numpy.test()"
diff --git a/docker-compose.yml b/docker-compose.yml
new file mode 100644
index 0000000..3742956
--- /dev/null
+++ b/docker-compose.yml
@@ -0,0 +1,11 @@
+services:
+  update-deps:
+    build:
+      context: .
+      dockerfile: ./Dockerfile
+      target: update-deps
+    volumes:
+      - .:/app
+    stdin_open: true
+    tty: true
+    working_dir: /app
diff --git a/environment.yml b/environment.yml
deleted file mode 100644
index 0540b2a..0000000
--- a/environment.yml
+++ /dev/null
@@ -1,47 +0,0 @@
-name: datascience
-dependencies:
-- beautifulsoup4=4.5.3
-- boto=2.45.0
-- boto3==1.4.3
-- cython=0.25.2
-- ipython=5.1.0
-- jinja2=2.8
-- jsonschema=2.5.1
-- jupyter=1.0.0
-- libffi=3.2.1
-- libgfortran=3.0.0
-- libtiff=4.0.6
-- libxml2=2.9.2
-- matplotlib=2.0.0
-- nomkl=1.0
-- nose=1.3.7
-- numexpr=2.6.2
-- numpy=1.12.0
-- openblas=0.2.19
-- pandas=0.19.2
-- patsy=0.4.1
-- psycopg2=2.6.2
-- pycrypto=2.6.1
-- pytest=3.0.5
-- python=3.6.0
-- pyyaml=3.12
-- requests=2.12.4
-- seaborn=0.7.1
-- scipy=0.18.1
-- scikit-learn=0.18.1
-- statsmodels=0.8.0
-- pip:
-  - awscli==1.11.60
-  - civis==1.4.0
-  - dropbox==7.1.1
-  - ftputil==3.3.1
-  - glmnet==2.0.0
-  - joblib==0.11.0
-  - muffnn==1.0.0
-  - pubnub==4.0.8
-  - pysftp==0.2.9
-  - python-simple-hipchat==0.4.0
-  - requests-toolbelt==0.7.1
-  - tensorflow==1.0.0
-  - urllib3==1.19
-  - xgboost==0.6a2
diff --git a/generate-requirements-full.sh b/generate-requirements-full.sh
new file mode 100755
index 0000000..40c7889
--- /dev/null
+++ b/generate-requirements-full.sh
@@ -0,0 +1,5 @@
+#!/bin/bash
+# Run this script to update requirements-core.txt.
+# It uses Docker to ensure that the environment matches what will be used in the production image.
+set -e
+docker compose run --rm update-deps /bin/sh -c "uv pip compile --output-file=requirements-full.txt --upgrade requirements-core.txt"
diff --git a/requirements-core.txt b/requirements-core.txt
new file mode 100644
index 0000000..fb90216
--- /dev/null
+++ b/requirements-core.txt
@@ -0,0 +1,12 @@
+# awscli v2 is not officially available on PyPI (https://github.com/aws/aws-cli/issues/4947).
+# Specifying awscli in requirements-core.txt here ensures that it (and its transitive dependencies)
+# are taken into account when generating the final requirements-full.txt file.
+awscli @ git+https://github.com/aws/aws-cli@2.27.48
+boto3==1.39.2
+civis==2.7.1
+numpy==2.3.1
+pandas==2.3.0
+polars==1.31.0
+requests==2.32.4
+scikit-learn==1.7.0
+scipy==1.16.0
diff --git a/requirements-full.txt b/requirements-full.txt
new file mode 100644
index 0000000..1fd81f5
--- /dev/null
+++ b/requirements-full.txt
@@ -0,0 +1,109 @@
+# This file was autogenerated by uv via the following command:
+#    uv pip compile --output-file=requirements-full.txt requirements-core.txt
+attrs==25.3.0
+    # via
+    #   jsonschema
+    #   referencing
+awscli @ git+https://github.com/aws/aws-cli@6804a17061546394f88e1fe6d1bf9b24cd8a09ec
+    # via -r requirements-core.txt
+awscrt==0.26.1
+    # via awscli
+boto3==1.39.2
+    # via -r requirements-core.txt
+botocore==1.39.2
+    # via
+    #   boto3
+    #   s3transfer
+certifi==2025.6.15
+    # via requests
+charset-normalizer==3.4.2
+    # via requests
+civis==2.7.1
+    # via -r requirements-core.txt
+click==8.2.1
+    # via civis
+cloudpickle==3.1.1
+    # via civis
+colorama==0.4.6
+    # via awscli
+distro==1.8.0
+    # via awscli
+docutils==0.19
+    # via awscli
+idna==3.10
+    # via requests
+jmespath==1.0.1
+    # via
+    #   awscli
+    #   boto3
+    #   botocore
+joblib==1.5.1
+    # via
+    #   civis
+    #   scikit-learn
+jsonref==1.1.0
+    # via civis
+jsonschema==4.24.0
+    # via civis
+jsonschema-specifications==2025.4.1
+    # via jsonschema
+numpy==2.3.1
+    # via
+    #   -r requirements-core.txt
+    #   pandas
+    #   scikit-learn
+    #   scipy
+pandas==2.3.0
+    # via -r requirements-core.txt
+polars==1.31.0
+    # via -r requirements-core.txt
+prompt-toolkit==3.0.38
+    # via awscli
+python-dateutil==2.9.0
+    # via
+    #   awscli
+    #   botocore
+    #   pandas
+pytz==2025.2
+    # via pandas
+pyyaml==6.0.2
+    # via civis
+referencing==0.36.2
+    # via
+    #   jsonschema
+    #   jsonschema-specifications
+requests==2.32.4
+    # via
+    #   -r requirements-core.txt
+    #   civis
+rpds-py==0.26.0
+    # via
+    #   jsonschema
+    #   referencing
+ruamel-yaml==0.17.21
+    # via awscli
+ruamel-yaml-clib==0.2.12
+    # via awscli
+s3transfer==0.13.0
+    # via boto3
+scikit-learn==1.7.0
+    # via -r requirements-core.txt
+scipy==1.16.0
+    # via
+    #   -r requirements-core.txt
+    #   scikit-learn
+six==1.17.0
+    # via python-dateutil
+tenacity==9.1.2
+    # via civis
+threadpoolctl==3.6.0
+    # via scikit-learn
+tzdata==2025.2
+    # via pandas
+urllib3==1.26.20
+    # via
+    #   awscli
+    #   botocore
+    #   requests
+wcwidth==0.2.13
+    # via prompt-toolkit