DEVELOPER SANDBOX Academy of Mastery
Data Science Lab

Python laboratory for data analysis, visualization, reproducible experiments, and dataset practice.

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LAB / EXPLORATION

Data Science Lab

Python Data Practice Environment
Python laboratory for data analysis, visualization, reproducible experiments, and dataset practice.

ACTIVE LAB

Maintain a dedicated Python environment for practical data work while building toward deeper analysis projects. The implementation is active.

ACTIVE LAB

Data Science Lab

Maintain a dedicated Python environment for practical data work while building toward deeper analysis projects. The implementation is active.
Maintain a dedicated Python environment for practical data work while building toward deeper analysis projects. The implementation is active.
02

Purpose & Learning Objectives

Why this project exists and what the implementation should teach.
Purpose / Learning

Purpose

Maintain a dedicated Python environment for practical data work while building toward deeper analysis projects.

Learning Objectives

  • Use isolated reproducible Python environments.
  • Load and clean structured datasets.
  • Practice tabular transformation and aggregation.
  • Create clear visualizations.
  • Connect analysis work to SQL and database sources.
  • Document experiments so they can be resumed and reproduced.
03

Technology Plan

Current, planned, legacy, or candidate technologies for this project.
Environment

Python
uv

Analysis Candidates

pandas
Jupyter

Visualization Candidate

Matplotlib

Data Sources

JSON
SQL
PostgreSQL

04

Implementation Scope

Planned behaviors, architecture decisions, and evidence this project should produce.
Environment
Keep Python tooling reproducible and separate from system Python.
Data handling
Practice common analysis operations on small real or dummy datasets.
Visualization
Create one clear chart per analytical question.
Database bridge
Later compare file-based and database-backed analysis.
05

Project Notes

Implementation context, boundaries, and later expansion.
Project Notes

Current State

The local data-science-lab environment and Python virtual environment already exist.

Growth Path

Add projects only when a concrete dataset/question justifies them.