Python Business Data Fun

Overview

This repository is a comprehensive collection of Python scripts and tools designed for those interested in learning and applying Python in business data analysis. It covers a wide range of topics, from basic programming concepts to more advanced data manipulation techniques.

Contents

Part 1: Basic Python Programming

• Introduction to Python: Covers basic Python programming concepts.
  • variables.py: Basics of variables in Python.
  • strings.py: String manipulation and operations.
  • math2.py: Basic mathematical operations in Python.
  • if.py: Introduction to conditional statements.
  • loops.py: Understanding loops in Python.
  • lists.py: Working with lists.
  • functions.py: Creating and using functions.
  • importing.py: How to import and use modules and libraries.
  • input.py: Handling user input.
  • print.py: Basic output operations in Python.
  • fizzbuzz.py: A classic programming challenge implemented in Python.
  • logic_practice.py: Exercises for practicing logical operations.
  • logic_practice_solutions.py: Solutions to the logic practice exercises.
  • happy_hour.py & happy_hour2.py: Python scripts for specific use cases.
  • tip_calculator.py: A simple tip calculator application.

Business-Specific Scripts

• Census Data Analysis: census.csv - A dataset for practicing data analysis.
• Financial Functions: finance_functions.py - Collection of Python functions useful in financial analysis.
• Dictionaries in Python: dictionaries.py - Understanding and using dictionaries for data storage and manipulation.

Credit

These resources are from Python for MBAs (2021) by Daniel Guetta and Mattan Griffel.