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@ -332,7 +332,7 @@ The various types of literals available in Python are as follows:
Numeric literals are used for representing numeric values in the source code. They can be of three types - integers, float point numbers and imaginary numbers. Numeric literals are used for representing numeric values in the source code. They can be of three types - integers, float point numbers and imaginary numbers.
#### a) Integer Literals #### Integer Literals
Integer literals are numbers without any fractional component. Integer literals are numbers without any fractional component.
@ -383,7 +383,7 @@ They are ignored while determining the actual numerical value of the literal.
Some valid underscore usages are - `10_00_00_000`, `0b_1110_0101`, `0x23_123`. Some valid underscore usages are - `10_00_00_000`, `0b_1110_0101`, `0x23_123`.
#### b) Floating Point Literals #### Floating Point Literals
Floating point literals are real numbers present in the source code. They contain fractional component and/or exponential component. Floating point literals are real numbers present in the source code. They contain fractional component and/or exponential component.
@ -405,7 +405,7 @@ The exponential component can be identified by the letter `e` or `E` followed by
For example, `3.4E2` is equivalent to `3.4 x 10^2` or `340.0`, whereas `3.4e-2` is equivalent to `3.4 x 10^-2` or `.034`. For example, `3.4E2` is equivalent to `3.4 x 10^2` or `340.0`, whereas `3.4e-2` is equivalent to `3.4 x 10^-2` or `.034`.
#### c) Imaginary Literals #### Imaginary Literals
To specify complex numbers and perform complex number mathematics, Python supports imaginary literals which are given by real or integer number followed by the letter `j` or `J` which represents the unit imaginary number. To specify complex numbers and perform complex number mathematics, Python supports imaginary literals which are given by real or integer number followed by the letter `j` or `J` which represents the unit imaginary number.
@ -921,21 +921,21 @@ Often sequence, set and mapping types are also collectively known as **iterables
Numeric data types are used for storing the following types of numbers: Numeric data types are used for storing the following types of numbers:
#### i. Integer Numbers #### Integer Numbers
Objects holding integer numbers like `-1, 0, 200` are of `int` data type. Objects holding integer numbers like `-1, 0, 200` are of `int` data type.
#### ii. Real or Floating-point Numbers #### Real or Floating-point Numbers
Objects holding real or floating point numbers like `-1.1, 3e2, 20.0` are of `float` data type. Objects holding real or floating point numbers like `-1.1, 3e2, 20.0` are of `float` data type.
#### iii. Complex Numbers #### Complex Numbers
Objects storing complex numbers like `2 + 1j, -3j, -1 + 2J` are of type `complex`. Objects storing complex numbers like `2 + 1j, -3j, -1 + 2J` are of type `complex`.
Each complex number has two parts, the real part which is a numeric integer or floating point literal, and the imaginary part which is an imaginary literal. Each complex number has two parts, the real part which is a numeric integer or floating point literal, and the imaginary part which is an imaginary literal.
#### iv. Boolean #### Boolean
The boolean data type (`bool`) is a subtype of `int`. It stores the evaluated value of expressions represented as keywords - `True` (integer value `1`) and `False` (integer value `0`). The boolean data type (`bool`) is a subtype of `int`. It stores the evaluated value of expressions represented as keywords - `True` (integer value `1`) and `False` (integer value `0`).
@ -943,19 +943,19 @@ The boolean data type (`bool`) is a subtype of `int`. It stores the evaluated va
An ordered collection of items where each item can be accessed using an integer index is known as a sequence. The following three sequence data types are available in Python: An ordered collection of items where each item can be accessed using an integer index is known as a sequence. The following three sequence data types are available in Python:
#### i. String #### String
A string (`str` data type) is a sequence of zero or more unicode characters enclosed within a pair of single (`'`) or double (`"`) quotes. A string (`str` data type) is a sequence of zero or more unicode characters enclosed within a pair of single (`'`) or double (`"`) quotes.
Some example strings are - `"42", 'hello', "python"`. Some example strings are - `"42", 'hello', "python"`.
#### ii. List #### List
A `list` is sequence of items of same or different data types which are enclosed within brackets - `[ ]`. A `list` is sequence of items of same or different data types which are enclosed within brackets - `[ ]`.
Some example lists are - `[1, 2, 3]`, `['abc', 23, 3.14]`, `['edpunk', 'python']`. Some example lists are - `[1, 2, 3]`, `['abc', 23, 3.14]`, `['edpunk', 'python']`.
#### iii. Tuple #### Tuple
A `tuple` is an immutable sequence of items of same or different data types which are enclosed within parentheses - `( )`. A `tuple` is an immutable sequence of items of same or different data types which are enclosed within parentheses - `( )`.