How nikil-crypto-spec/python-logic works
This is a single-file collection of Python data-analysis exercises, not a packaged application. Its clearest user-to-result workflow takes numeric bounds, creates random Pandas DataFrames, and prints statistics. The same script also demonstrates marks and salary calculations, collection operations, NumPy arrays, and Pandas employee, sales, and hospital analyses. All components share one source path; the README provides no further product detail.
Main entry points: logic.py Script Workflow
Components 13
Random DataFrames
- Read Bounds
logic.py - Script Workflow
logic.py - Create DataFrame
logic.py - Calculate Statistics
logic.py
Core Exercises
- Marks Summary
logic.py - Salary Analysis
logic.py - Collection Exercises
logic.py
NumPy Examples
- Array Statistics
logic.py - Sales Matrix
logic.py
Pandas Analysis
- Employee Analysis
logic.py - Sales Analysis
logic.py - Hospital Analysis
logic.py
Other components
- User
Connections 5
- User → Read Bounds: enters bounds
- Read Bounds → Script Workflow: returns bounds
- Script Workflow → Create DataFrame: calls
- Create DataFrame → Script Workflow: returns DataFrame
- Script Workflow → Calculate Statistics: calls with DataFrame