From 2b1c13f0a1acaea839482afc4955fb7791af4f13 Mon Sep 17 00:00:00 2001 From: Ankit Mahato Date: Mon, 24 Oct 2022 18:12:35 +0530 Subject: [PATCH] Update README.md --- README.md | 20 ++++++++++---------- 1 file changed, 10 insertions(+), 10 deletions(-) diff --git a/README.md b/README.md index 498819a..68fccd3 100644 --- a/README.md +++ b/README.md @@ -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. -#### a) Integer Literals +#### Integer Literals 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`. -#### 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. @@ -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`. -#### 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. @@ -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: -#### i. Integer Numbers +#### Integer Numbers 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. -#### iii. Complex Numbers +#### Complex Numbers 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. -#### 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`). @@ -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: -#### 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. 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 - `[ ]`. 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 - `( )`.