Data Types in Python

Data Types in Python

• Python uses data types to classify data based on its nature and the operations that can be performed on it.

• Basic data types include integers, floats, and strings.

Numerical Types

• Integers (int): represent whole numbers (positive and negative) without decimal places.
• Floats (float): represent real numbers including decimal points.
• Complex numbers (complex): are expressed as (1.2-1.3j), with a real part (1.2) and an imaginary part (-1.3j).

String

• A string is a sequence of characters, enclosed in single (') or double quotes (").
• They are used for text representation.

Data Type Conversion

• The input() function reads user input as a string.
• Python allows converting data types using functions like int(), float(), and str().

String Processing

• Multiple ways to define strings, including single quotes ('), double quotes ("), and triple quotes (''' or """).
• Triple quotes allow multi-line strings.

Lab. 01 - Polynomial Calculation

• The lab requires calculating the value of a polynomial expression (-y)3 + 2x^2y using the values x = -1 and y = 3.

Lab. 05 - Greenwich Mean Time (GMT)

• This lab involves understanding GMT as the world time reference point.

Data Structures

• List: an ordered and mutable sequence of items, enclosed in square brackets ([]).
• Tuple: similar to a list but immutable (unchangeable), defined using parentheses (()).
• Dictionary: a collection of key-value pairs, where keys must be unique and used to retrieve associated values.
  • Defined using curly braces ({}) or the dict() function.
• Set: an unordered collection of unique items, defined using curly braces ({}) or the set() function.
• NoneType: represents the absence of a value or a null value, defined using the None keyword.

Lab. 01 - Calculation of a Polynomial

• The exercise requires writing a Python program that calculates the expression (-y)3 + 2x^2y where x = -1 and y = 3.