Here is a Quick Recap of Python Concepts for Data Analyst Interviews:
Variables: Containers for storing data values, like integers, strings, and lists.
Data Types: Includes types like int, float, str, list, tuple, dict, and set to represent different forms of data.
Functions: Blocks of reusable code defined using the def keyword to perform specific tasks.
Loops: for and while loops that allow you to repeat actions until a condition is met.
Conditionals: if, elif, and else statements to execute code based on conditions.
Lists: Ordered collections of items that are mutable, meaning you can change their content after creation.
Dictionaries: Unordered collections of key-value pairs that are useful for fast lookups.
Modules: Pre-written Python code that you can import to add functionality, such as math, os, and datetime.
List Comprehension: A compact way to create lists with conditions and transformations applied to each element.
Exceptions: Error-handling mechanism using try, except, finally blocks to manage and respond to runtime errors. Remember, practical application and real-world projects are very important to master these topics.
