Implemented and Debugged Database Functions in Python

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📅 2023-04-20 — Session: Implemented and Debugged Database Functions in Python

🕒 19:35–19:50
🏷️ Labels: Python, Database, Functional Dependencies, SQL, Debugging
📂 Project: Dev
⭐ Priority: MEDIUM

Session Goal

The goal of this session was to implement and debug various database-related functions in Python, focusing on functional dependencies, superkeys, and SQL query generation.

Key Activities

  • Debugging Indentation: Resolved indentation issues in the is_prime_attribute function by checking the if statement within a for loop.
  • SQL Query Generation: Demonstrated creating an SQL query string from DataFrame columns using list comprehension and string formatting.
  • Function Definitions: Implemented find_superkey, find_minimal_basis, find_candidate_keys, and other functions related to functional dependencies, providing detailed explanations of their logic and applications.
  • Powerset Function: Developed a function to generate all subsets of a set, useful in database theory for exploring attribute combinations.
  • SQLite Schema Querying: Used Python’s sqlite3 library to connect to an SQLite database and retrieve schema details.
  • Hashability Fixes: Addressed hashability issues in attribute closures by using frozensets for dictionary keys.

Achievements

  • Successfully implemented and debugged key database functions in Python.
  • Clarified the use of functional dependencies and superkeys in database management.
  • Enhanced understanding of SQL query generation and schema querying with Python.

Pending Tasks

  • Further testing of the implemented functions with diverse datasets to ensure robustness.
  • Exploration of optimization techniques for large-scale database operations.

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