Migrate Build to UV

This merge request updates the development environment for a data science project. Key changes include:

1. Dockerfile modifications: Updating the base image, installing newer Python version (3.11), and switching from pipenv to UV for package management.

2. Makefile updates: Adding new commands for setting up Jupyter environments (local and Docker), and introducing a UV recompile command for managing dependencies.

3. Removing Pipfile and Pipfile.lock: Shifting away from pipenv for dependency management.

4. Updating README.md: Refreshing links to the team handbook and Jupyter guide.

5. Adding pyproject.toml: Introducing a new configuration file for the project, specifying Python version requirements and listing dependencies with their versions.

6. Adding uv.lock: Introducing a lock file for UV package management.

Overall, these changes modernize the project setup, improve dependency management, and provide more flexible options for running Jupyter environments. The shift from pipenv to UV and the introduction of pyproject.toml suggest a move towards more current Python project management practices.This merge request updates the project's development environment and package management approach.

modeling_templates/propensity/Score Model.ipynb

 ``` python
 # THIS CELL MUST REMAIN AS THE FIRST CELL OF THE NOTEBOOK
 # This cell is tagged `parameters` for papermill.
 # Click the gears on the right side of JupyterLab and make sure the parameters tag is set for this (and only this) cell
-is_local_development = True
 %% Cell type:markdown id:247c80e9-554b-495f-84fe-3c153d6c5dce tags:
 from sklearn.impute import IterativeImputer
+%% Cell type:code id:02dd195e-634c-47b7-bbbb-8fe04cb9da3f tags:
+``` python
+# Set Working Dir and Data Dir
+original_cwd = os.getcwd()
+
+#If running in CI, we need to change the working directory to where our notebook is running -- `notebooks/`
+if os.getenv("GITLAB_CI"):
+    os.chdir(notebook_dir)
+    os.getcwd()
+
+print(os.getcwd())
 %% Cell type:markdown id:a7beed93-0bea-422a-9563-0360079dd8c1 tags:
-%% Cell type:code id:259aed7f-9a29-43a1-bc45-8429924ff2f0 tags:
+%% Cell type:code id:781f4b51-44a2-4252-839e-62d78d513d32 tags:
 ``` python
-if is_local_development:
+# Initalize Snowflake Connection
+if os.getenv("GITLAB_CI"):
+    snowflake_engine = snowflake_engine_factory(env, "DATA_SCIENCE_LOADER", run_target='ci')
+    raw_db_name = env["SNOWFLAKE_LOAD_DATABASE"]
+    prod_db_name = env["SNOWFLAKE_PROD_DATABASE"]
+
+else:
     snowflake_engine = data_science_engine_factory(env, profile_target='dev', run_target='local')
     # please fill in the analytics branch here to connect to the correct DB
     branch_name = ""
-
     raw_db_name = f"{branch_name.upper()}_RAW"
     prod_db_name = f"{branch_name.upper()}_PROD"
 
-    # prep_db_name = f"{branch_name.upper()}_PREP"
-else:
-    snowflake_engine = snowflake_engine_factory(env, "DATA_SCIENCE_LOADER", run_target='ci')
 
-    raw_db_name = env["SNOWFLAKE_LOAD_DATABASE"]
-    prod_db_name = env["SNOWFLAKE_PROD_DATABASE"]
 
 snowflake_engine
 
+%% Cell type:code id:9ac5309e-2ce9-4511-846a-cf206d70f8bb tags:
+``` python
 # Run Query
 with open(my_query_name) as file:
     query = file.read()