Debugged Python Code and Enhanced Database Functions

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📅 2023-04-20 — Session: Debugged Python Code and Enhanced Database Functions

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

Session Goal

The primary goal of this session was to debug Python code, generate SQL queries from DataFrame columns, and enhance database functions for handling functional dependencies.

Key Activities

  • Debugging Python Code: Addressed indentation issues in the is_prime_attribute function by checking the if statement within the for loop.
  • SQL Query Generation: Demonstrated creating an SQL query string using column names from a DataFrame with Python’s list comprehension and string formatting.
  • Database Function Definitions: Implemented the find_superkey function to identify superkeys using functional dependencies and attribute closure.
  • Functional Dependency Optimization: Defined functions decompose_fds, remove_extraneous_attributes, and remove_redundant_fds to optimize functional dependencies.
  • Algorithm Implementation: Developed the powerset function to generate all subsets of a given set using binary representation.
  • SQLite Schema Querying: Used Python’s sqlite3 library to retrieve schema information from an SQLite database.
  • Hashability Fix: Resolved hashability issues in attribute closures by converting sets to frozensets for dictionary keys.

Achievements

  • Successfully debugged Python code related to indentation.
  • Enhanced understanding and implementation of SQL query generation from DataFrame columns.
  • Implemented and refined database functions for better handling of functional dependencies.
  • Improved hashability in attribute closures, ensuring robust database function performance.

Pending Tasks

  • Further testing and validation of the implemented database functions in real-world scenarios.
  • Exploration of additional optimization techniques for functional dependencies.

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