Data handling- Operators and Expressions

Data handling- Operators and Expressions

1. Operator

   • Unary Operator
     • Definition
       • Operators that act on one operand
     • Unary +
     • Unary -
   • Binary operator
     • Defintion
       • Operators that act on two operands
     • Arithmetic Operator
       • Addition operator (+)
       • Subtraction operator (-)
       • Multiplication operator (*)
       • Division Operator (/)
       • Floor Division Operator (//)
       • Modulus Operator (%)
       • Exponentiation operator(**)
   • Augmented Assignment Operator
     • +=, -=, *=, /=, %=, //=, **=
   • Relational Operator
     • <, >, <=, >=, ==, !=
   • Identity Operators
     • is
     • is not
   • Logical Operator
     • or, and, not
   • Assignment operator
     • =
   • Membership operator
     • in
     • not in
   • Operator precedence
     • Operator precedence in Python dictates the order in which operations are performed in an expression
       • Precedence Chart

2. Expressions

   • Definition
     • Combinations of values and operators
   • Type of expression
     • Arithmetic Expressions
     • Relational Expression
     • Logical Expression
     • String expression
   • Evaluating Expressions
     • Order of Operations
       • Follow PEMDAS/BODMAS rules - Parentheses, Exponents, Multiplication/Division, Addition/Subtraction
     • Precedence of Operators
       • Hierarchy of operators
       • Higher precedence evaluated first
   • Type Conversion
     • Implicit Type Conversion
       • Implicit type conversion, also known as coercion, is the automatic conversion of data types by the Python interpreter during operations. For example, when adding an integer and a float, Python will implicitly convert the integer to a float before performing the addition, resulting in a float value.
     • Explicit Type Conversion
       • Explicit type conversion, also known as type casting, involves manually converting a value from one data type to another. This is done using built-in functions provided by Python. eg. int(), str()

3. Debugging

   • Debugging in Python involves identifying and resolving errors in code
     • Type of Errors
       • Compile Time Error
         • Syntax Error
           • Syntax errors in Python occur when the code violates the language's grammatical rules. eg. print('Hello)
         • Semantic Error
           • Error occurs when statements are not meaningful. eg. x * y= z
       • Logical Error
         • A logic error in Python occurs when the code executes without crashing but produces an incorrect or unexpected result due to a flaw in the program's logic
       • Run Time Error
         • A runtime error in a program is an error that occurs while the program is running after being successfully compiled.

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