- 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 - Date and Time
Date and Time in Python
The Python datetime module provides classes to work with datetime. These classes offer various activities to deal with dates, times, and time intervals. Python provides a few standard libraries to work with the date and time:
datetime module:
This module Offers lessons on date and time management, including both simple and complex formatting and time representation techniques:
- date class: Represents a date (year, month, day)
- time class: Represents a time (hour, minute, second, microsecond)
- datetime class: Combines a date and a time into a single object
- timedelta class: Represents a duration of time (difference between two dates or times)
time module
This module provides functions for working with time, including:
- time(): Returns the current time in seconds since the epoch (January 1, 1970)
- sleep(): Pauses the program execution for a specified number of seconds
- strftime(): Formats a time object into a string according to a specified format
- strptime(): Parses a string representing a time into a time object
Calendar
The calendar module in the Python standard library provides functionality for working with calendars and dates. This allows us to: display calendars, manipulate dates, and customize calendars.
Example
Let’s demonstrate the date and time with an example:
import datetime
# Get the current date and time
now = datetime.datetime.now()
# Print the current date and time
print("Current date and time:", now)
# Format the date and time
formatted_date = now.strftime("%Y-%m-%d")
formatted_time = now.strftime("%H:%M:%S")
# Print the formatted date and time
print("Formatted date:", formatted_date)
print("Formatted time:", formatted_time)Output
Current date and time: 2024-09-23 18:28:03.517690
Formatted date: 2024-09-23
Formatted time: 18:28:03
Example
Let’s see an example of calendars:
import calendar
# Print the calendar for September 2024
print(calendar.month(2024, 9))
# Check if 2024 is a leap year
is_leap = calendar.isleap(2024)
print(is_leap)Output
The above code generates the following output:
September 2024
Mo Tu We Th Fr Sa Su
1
2 3 4 5 6 7 8
9 10 11 12 13 14 15
16 17 18 19 20 21 22
23 24 25 26 27 28 29
30
True
