Python Data Handling and Analysis Fundamentals

📋 Course Outline

1. Data Types
2. Escape Sequences
3. Variables and Input
4. Assignment Statements
5. Operators and Expressions
6. Type Casting and Precedence
7. Comments and Formatting
8. Running Scripts
9. Built-In Functions
10. User Modules
11. NumPy Arrays
12. Pandas DataFrames

📖 1. Data Types

🔑 Key Concepts & Definitions

• Data Types: Categories of data that determine what kind of value a variable can hold (e.g., int, float, str, bool).
• Variables: Named storage locations in memory that hold data values, which can be of different data types.
• Type Casting: Converting a value from one data type to another (e.g., int to float).
• Operators: Symbols that perform operations on variables and values (e.g., +, -, *, /).
• Arithmetic Expressions: Combinations of variables, values, and operators that evaluate to a single value.
• Escape Sequences: Special characters used in strings to represent characters that are difficult to include directly (e.g., \n for newline, \t for tab).

📝 Essential Points