python-logic-lab

Mini python solutions

Python Logic Lab: Practical Scripts & Mini-Apps

A collection of lightweight Python projects demonstrating core programming logic, problem-solving, and automation. This repository showcases my ability to bridge technical code with real-world scenarios—from ATM simulations to data processing tools.

Featured Scripts

• ATM Simulation: A robust terminal-based app with transaction logging and error handling.

ATM Mini Project

Short description

• Small CLI ATM simulator that supports withdrawals.
• Core file: atm_project.py. Tests live in test_atm.py.
• Designed for learning I/O, basic validation, logging and unit testing with mocks.

Files

• atm_project.py — main program and function atm_withdrawal(balance):
  • Prompts user for an amount via input()
  • Validates numeric/positive/available funds
  • Prints result messages and returns the updated balance (float)
  • Logs transactions to atm_transactions.log
• test_atm.py — unit tests that:
  • Mock builtins.input to simulate user input
  • Capture sys.stdout to assert printed messages
  • Assert returned balance values

Requirements

• Python 3.8+
• No external packages required

How to run the program (Windows)

• From project folder:
  • python atm_project.py
• Interact via the menu; choose "1" to withdraw and follow prompts.

How to run tests (Windows)

• From project folder:
  • python -m unittest c:\Users\sabia_kenya\Desktop\LearningPython_Basics\test_atm.py

Notes about tests

• Tests do not modify atm_project.py. They mock input() and capture stdout so the I/O code can be tested without changing the source.
• Tests assert:
  • Correct updated balance returned by atm_withdrawal
  • Presence of expected printed messages (e.g., "Withdrawal successful", "Insufficient funds", "Invalid amount", and numeric-input error message)

Suggestions for future improvements

• Separate business logic from I/O: create functions like process_withdrawal(balance, amount) that only implement logic and return (new_balance, message). This simplifies testing (no mocking).
• Add deposit functionality and persistence (file or DB) if desired.
• Add a reset_balance() helper or class-based ATM to isolate state across tests.

Logging

• Transactions are appended to atm_transactions.log in the project directory with timestamps (configured in atm_project.py).

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• Network Port Scanner: A multi-threaded utility that probes specific IP addresses for open ports. It demonstrates knowledge of the socket library, TCP handshakes, and network diagnostics—essential for technical SEO and web security audits.
• Data Utility Tools: Scripts designed to clean and prep data for Excel & Power BI.
• AI & API Experiments: Exploring rapid tech innovations through integrated Python libraries.

Tech Stack

• Language: Python 3.12+
• Core Libraries: datetime, logging, math, sys, socket, threading,unittest,unittest.mock ,io
• Concepts: Error Handling (Try/Except), File I/O, Data Validation, and Functional Programming.

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