- Python Introduction
- Python - Overview
- Python - History and Evolution
- Python - Significance in Modern Development
- Python - Understanding Python's design philosophy and the Zen of Python
- Python - Installing Python and Setting up the Development Environment
- Python - Setting Up the Development Environment
- Python - Basic Syntax and Execution of Python Scripts
- Python - Getting Started to Python
- Python Basics
- Python - Control flow (If statements, Loops - For and While)
- Python - Operators (Arithmetic, Comparison, Logical, Assignment)
- Python - Arithmetic Operators
- Python - Comparison Operators
- Python - Logical Operators
- Python - Assignment Operators
- Python - Integers (int)
- Python - Floats (float)
- Python - Strings (str)
- Python - Loop Control Statements
- Python - Loops
- Python - If Statements
- Python - Python's built-in functions
- Python - Using Built-in Functions
- Python - Examples of Common Built-in Functions
- Python Data Structures
- Python - Understanding Lists, Tuples, Sets, and Dictionaries
- Python - Lists
- Python - Tuples
- Python - Sets
- Python - Dictionaries
- Python - Operations on Data Structures (Indexing, Slicing, Appending, Removing)
- Python - Advanced Usage
- Python - Advanced Data Manipulation Techniques (List Comprehension, Dictionary comprehension)
- Python - List Comprehensions
- Python - Dictionary Comprehensions
- Python Functions and Modules
- Python - Defining a Function
- Python - Function arguments and return values
- Python - Function Arguments
- Python - Return Values
- Python - Defining and calling functions
- Python - Using the Return Value
- Python - Calling the Function with Arguments
- Python - Creating a Module
- Python - Importing a Module
- Python - Creating a Package
- Python - Importing from a Package
- Python - Creating and importing modules and packages
- Python - Introduction to Python standard libraries.
- Python - File and Directory Access
- Python - Internet Data Handling
- Python - Networking
- Python - Data Persistence and Serialization
- Python - Data Compression and Archiving
- Python - Concurrent Execution
- Python - Mathematics
- Python - Date and Time
- Python - Development Tools
- Python Object-Oriented Programming
- Python - Understanding classes and objects
- Python - Understanding Classes
- Python - Understanding Objects
- Python - Inheritance, encapsulation, and polymorphism
- Python - The constructor, class variables, and instance variables
- Python - Magic methods and their importance
- Python Error Handling and Debugging
- Python - Exceptions
- Python - Working Code Sample Demonstrating Both
- Python - Handling exceptions with try-except blocks
- Python - Syntax Errors versus Exceptions
- Python - Using logging for Debugging and Error tracking
- Python Working with Files
- Python - Reading from and writing to files
- Python - Writing to a File
- Python - Reading from a File
- Python - Combined Example of Reading and Writing
- Python - Understanding file handling modes
- Python - Common File Handling Modes
- Python - Working with different file formats (text, CSV, JSON)
- Python - Working with Text Files
- Python - Working with JSON Files
- Python - Working with CSV Files
- Python Web Scraping
- Python - Introduction to Beautiful Soup and requests library
- Python - Beautiful Soup
- Python - Requests Library
- Python - Legality of Web Scraping
- Python - Overview of web scraping and its legality
- Python - Combined Example: Using Both Requests and Beautiful Soup
- Python - Conclusion
Python - Floats (float)
Float Data Type in Python
A floating point number is used in computer programming to represent a real number with high-definition precision. It is a way to express a decimal point that divides the integer and fractional components of a floating point representation of a real number.
In Python, a floating point number is a data type that is used to represent the decimal point of a real number such that (1.05, 2.333, -4.56, etc.).
float and int are both numeric data types. But int only represents the whole number such that (1, 2, 3, etc.) while float represents the decimal number such that (1.05, 5.5, -2.5, etc).
Following is the basic declaration of float:
temperature = 98.6 # An example of a floatBasic Operations with Floats
Let’s understand floats with the following basic operations: Addition (+), Subtraction (-), Multiplication (*), and Division (/).
nums1 = 20.53
nums2 = 10.45
add = nums1+nums2
print(res) # 30.98
mul = nums1*nums3
print(mul) # 214.538
sub = nums1-nums2
print(sub) # 10.08
div = nums1/nums2
print(div) # 1.964593Type Conversion and Casting of Floats
In Python, type conversion is the process of changing data types from one type to another. Here, we are converting float to other data types.
Converts float to int:
float_num = 5.89
int_num = int(float_num) # the fractional part is discarded.
print(int_num) # 5Converts float to str:
loat_num = 10.556
String = str(float_num)
print(String) # "10.556"Properties of The Python Floats.
The following are the properties of the Python integer:
- Python float data type has a precision of about 15 places. It can exactly represent numbers with 15 decimal points.
- Float's number can be represented as very large as well as very small because its range lies between 1.8 x 10^308 to 5.4 x 10^-324.
- Python float’s data type uses binary representations so it can store numbers as a sequence of bits such as (0s and 1s).
- In Python, floats take 8 bytes means 64 bits of memory.
- Python floats are immutable means once a floating object is created its value can’t be changed.
Example
Let’s understand the above properties with an example:
X = 5.56
X = X + 2 # A new int object is created now that x points to it.
print(X)
nums = 10.56*545.657 # floats handle a large number
print(nums)Output
The above example produces the following output:
7.56
5762.13792
