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Numeric Types in Python

Introduction
Setting Up Your Python Environment
Installing Python and PyCharm IDE Creating and Running Your First Python Program
Python Data Types
Numeric Types String Types Boolean Types None Type
Operators and Expressions
Arithmetic Operators Comparison Operators Logical Operators Bitwise Operators Assignment Operators Operator Precedence
Control Flow Statements
Conditional Statements Loops Break and Continue Statements Exception Handling
Functions and Modules
Defining and Calling Functions Function Arguments and Return Values Lambda Functions Modules and Packages
Python Data Structures
Lists Tuples Dictionaries Sets Arrays
ObjectOriented Programming in Python
Classes and Objects Attributes and Methods Inheritance and Polymorphism Abstract Classes and Interfaces
File Handling
Opening and Closing Files Reading and Writing Text Files Reading and Writing Binary Files CSV Files
Regular Expressions
Basic Regular Expressions and Metacharacters Anchors and Quantifiers Grouping and Capturing Lookarounds
Datetime and Timezones
Date and Time Objects Date and Time Formatting Timezone and Daylight Saving Time Handling
Debugging and Testing
Debugging Techniques Debugging Tools in PyCharm Unit Testing with PyTest
Web Scraping with Python
Requesting Data with urllib Parsing HTML with Beautiful Soup Extracting and Storing Data
Database Handling with Python
Connecting to Databases Performing CRUD Operations Database Access with ORM (ObjectRelational Mapping)
Introduction to Data Science with Python
NumPy Pandas Matplotlib ScikitLearn
GUI Programming with Python
Creating GUI Applications GUI Toolkits (Tkinter, PyQt, wxWidgets)
Network Programming with Python
Socket Programming Creating and Running a Simple Web Server Connecting to APIs
Best Practices and Tips
Python Coding Standards Code Organization Writing Efficient Code Tips and Tricks for Python Development
Conclusion and Next Steps.

Numeric Types

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Sure, here's an explanation of Numeric Types in Python:

Numeric types in Python are used to represent numbers in various forms.

There are three main types of numeric data types in Python:
  1. Integers: Integers are whole numbers that can be positive, negative, or zero. In Python, integers are represented by the int type. For example, 3, -7, 0 are integers.
  1. Floating-point numbers: Floating-point numbers are decimal numbers in Python. In Python, floating-point numbers are represented by the float type. For example, 3.14, -7.0, 0.0 are floating-point numbers.
  1. Complex numbers: Complex numbers are numbers that have both a real part and an imaginary part. In Python, complex numbers are represented by the complex type. For example, 3 + 2j, -7.5 + 1j are complex numbers.

Apart from these three main types, Python also supports different types of numeric literals such as binary, octal, and hexadecimal.

Numeric types support various arithmetic operations such as addition, subtraction, multiplication, division, modulus, etc. and various functions to perform mathematical calculations such as pow(), abs(), round().

Numeric types in Python are immutable, which means that once created, their value cannot be changed.

March 25, 2023

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