Python - DateTime Module

Python - DateTime Module

DateTime Module in Python

The datetime module in Python is part of the standard library and provides classes for manipulating dates and times. With its powerful set of features, it allows you to perform various operations such as comparing dates, formatting time, arithmetic with dates, and much more. This tutorial aims to provide an in-depth guide to Python’s datetime module.

Introduction to datetime Module

Importing the Module

Before using the datetime module, you need to import it:

import datetime

Alternatively, you can import individual classes like:

from datetime import date, time, datetime, timedelta

Classes in datetime Module

The module provides several important classes:

  • datetime.date
  • datetime.time
  • datetime.datetime
  • datetime.timedelta
  • datetime.tzinfo

1. The date Class

This class represents a date (year, month, and day).

from datetime import date

d = date(2025, 6, 27)
print(d)

Attributes of date

today = date.today()
print(today.year)
print(today.month)
print(today.day)

Useful Methods

print(date.today())               # Current date
print(date.fromisoformat('2025-06-27'))   # Create from ISO format
print(date.max)                  # Max date
print(date.min)                  # Min date

2. The time Class

Represents a time (hour, minute, second, microsecond).

from datetime import time

t = time(14, 30, 45)
print(t)

Attributes of time

print(t.hour)
print(t.minute)
print(t.second)
print(t.microsecond)

3. The datetime Class

This is a combination of date and time in one object.

from datetime import datetime

dt = datetime(2025, 6, 27, 14, 30, 0)
print(dt)
print(datetime.now())          # Current local date and time
print(datetime.utcnow())       # Current UTC date and time
print(datetime.today())        # Same as now()

Accessing Components

dt = datetime.now()
print(dt.year)
print(dt.month)
print(dt.day)
print(dt.hour)
print(dt.minute)
print(dt.second)

ISO Format

print(dt.isoformat())

4. The timedelta Class

Represents the difference between two datetime or date objects.

from datetime import timedelta

delta = timedelta(days=10, hours=5)
print(delta)

Arithmetic with timedelta

today = datetime.now()
future = today + timedelta(days=10)
past = today - timedelta(days=10)

print("10 days in future:", future)
print("10 days in past:", past)

Working with Date and Time

Getting Current Date and Time

now = datetime.now()
print("Now:", now)

Creating Specific DateTime

dt = datetime(2025, 6, 27, 15, 0, 0)
print("Specific:", dt)

Converting Strings to datetime

date_str = '2025-06-27 14:00:00'
dt = datetime.strptime(date_str, '%Y-%m-%d %H:%M:%S')
print(dt)

Formatting datetime Objects

now = datetime.now()
formatted = now.strftime('%Y-%m-%d %H:%M:%S')
print("Formatted:", formatted)

Common Format Codes

  • %Y - Year (e.g., 2025)
  • %m - Month (01 to 12)
  • %d - Day (01 to 31)
  • %H - Hour (00 to 23)
  • %M - Minute (00 to 59)
  • %S - Second (00 to 59)

Practical Use Cases

1. Countdown Timer

from datetime import datetime, timedelta

event_time = datetime(2025, 7, 1, 12, 0, 0)
now = datetime.now()
remaining = event_time - now

print("Time remaining:", remaining)

2. Age Calculator

birth_date = date(1995, 6, 27)
today = date.today()

age = today.year - birth_date.year - ((today.month, today.day) < (birth_date.month, birth_date.day))
print("Age:", age)

3. Adding Days to Date

today = date.today()
future_date = today + timedelta(days=30)
print("30 days later:", future_date)

4. Comparing Dates

d1 = date(2025, 6, 25)
d2 = date(2025, 6, 27)

print(d1 < d2)
print(d1 == d2)
print(d1 > d2)

Working with Timezones

To handle timezones, Python provides timezone and pytz (external module).

Using datetime.timezone

from datetime import datetime, timezone, timedelta

utc_dt = datetime.now(timezone.utc)
print("UTC Time:", utc_dt)

ist = timezone(timedelta(hours=5, minutes=30))
ist_dt = utc_dt.astimezone(ist)
print("IST Time:", ist_dt)

Using pytz Library

For advanced timezone support, install pytz:

pip install pytz
from datetime import datetime
import pytz

utc = pytz.utc
ist = pytz.timezone('Asia/Kolkata')

dt_utc = datetime.now(utc)
dt_ist = dt_utc.astimezone(ist)

print("UTC Time:", dt_utc)
print("IST Time:", dt_ist)

Measuring Elapsed Time

import time
from datetime import datetime

start = datetime.now()
time.sleep(2)
end = datetime.now()

elapsed = end - start
print("Elapsed Time:", elapsed)

Replacing DateTime Attributes

now = datetime.now()
new_time = now.replace(hour=18, minute=0)
print("Replaced:", new_time)

Sorting datetime List

dates = [
    datetime(2025, 6, 25),
    datetime(2025, 6, 27),
    datetime(2025, 6, 20)
]

dates.sort()
for d in dates:
    print(d)

Creating Recurring Dates

start_date = date(2025, 6, 1)
for i in range(5):
    recurring = start_date + timedelta(weeks=i)
    print(recurring)

Working with Weekdays

today = date.today()
print("Weekday (0=Mon):", today.weekday())
print("ISO Weekday (1=Mon):", today.isoweekday())

Week Number of the Year

dt = datetime(2025, 6, 27)
week_number = dt.isocalendar().week
print("Week number:", week_number)

The Python datetime module is a rich and flexible library for working with dates and times. Whether you are building calendars, timestamping data, or doing time zone conversion, datetime has got you covered. By understanding the core classes such as date, time, datetime, and timedelta, you can handle most common and complex time-related requirements in Python projects. Incorporating timezone handling via pytz further elevates your application’s capability to deal with international time standards effectively.

Mastering this module is essential for any Python developer working on real-world applications, scheduling systems, logs, analytics, or data pipelines. With a structured approach and hands-on practice, datetime can significantly simplify your temporal programming needs.

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Python

Beginner 5 Hours
Python - DateTime Module

DateTime Module in Python

The datetime module in Python is part of the standard library and provides classes for manipulating dates and times. With its powerful set of features, it allows you to perform various operations such as comparing dates, formatting time, arithmetic with dates, and much more. This tutorial aims to provide an in-depth guide to Python’s datetime module.

Introduction to datetime Module

Importing the Module

Before using the datetime module, you need to import it:

import datetime

Alternatively, you can import individual classes like:

from datetime import date, time, datetime, timedelta

Classes in datetime Module

The module provides several important classes:

  • datetime.date
  • datetime.time
  • datetime.datetime
  • datetime.timedelta
  • datetime.tzinfo

1. The date Class

This class represents a date (year, month, and day).

from datetime import date d = date(2025, 6, 27) print(d)

Attributes of date

today = date.today() print(today.year) print(today.month) print(today.day)

Useful Methods

print(date.today()) # Current date print(date.fromisoformat('2025-06-27')) # Create from ISO format print(date.max) # Max date print(date.min) # Min date

2. The time Class

Represents a time (hour, minute, second, microsecond).

from datetime import time t = time(14, 30, 45) print(t)

Attributes of time

print(t.hour) print(t.minute) print(t.second) print(t.microsecond)

3. The datetime Class

This is a combination of date and time in one object.

from datetime import datetime dt = datetime(2025, 6, 27, 14, 30, 0) print(dt)
print(datetime.now()) # Current local date and time print(datetime.utcnow()) # Current UTC date and time print(datetime.today()) # Same as now()

Accessing Components

dt = datetime.now() print(dt.year) print(dt.month) print(dt.day) print(dt.hour) print(dt.minute) print(dt.second)

ISO Format

print(dt.isoformat())

4. The timedelta Class

Represents the difference between two datetime or date objects.

from datetime import timedelta delta = timedelta(days=10, hours=5) print(delta)

Arithmetic with timedelta

today = datetime.now() future = today + timedelta(days=10) past = today - timedelta(days=10) print("10 days in future:", future) print("10 days in past:", past)

Working with Date and Time

Getting Current Date and Time

now = datetime.now() print("Now:", now)

Creating Specific DateTime

dt = datetime(2025, 6, 27, 15, 0, 0) print("Specific:", dt)

Converting Strings to datetime

date_str = '2025-06-27 14:00:00' dt = datetime.strptime(date_str, '%Y-%m-%d %H:%M:%S') print(dt)

Formatting datetime Objects

now = datetime.now() formatted = now.strftime('%Y-%m-%d %H:%M:%S') print("Formatted:", formatted)

Common Format Codes

  • %Y - Year (e.g., 2025)
  • %m - Month (01 to 12)
  • %d - Day (01 to 31)
  • %H - Hour (00 to 23)
  • %M - Minute (00 to 59)
  • %S - Second (00 to 59)

Practical Use Cases

1. Countdown Timer

from datetime import datetime, timedelta event_time = datetime(2025, 7, 1, 12, 0, 0) now = datetime.now() remaining = event_time - now print("Time remaining:", remaining)

2. Age Calculator

birth_date = date(1995, 6, 27) today = date.today() age = today.year - birth_date.year - ((today.month, today.day) < (birth_date.month, birth_date.day)) print("Age:", age)

3. Adding Days to Date

today = date.today() future_date = today + timedelta(days=30) print("30 days later:", future_date)

4. Comparing Dates

d1 = date(2025, 6, 25) d2 = date(2025, 6, 27) print(d1 < d2) print(d1 == d2) print(d1 > d2)

Working with Timezones

To handle timezones, Python provides timezone and pytz (external module).

Using datetime.timezone

from datetime import datetime, timezone, timedelta utc_dt = datetime.now(timezone.utc) print("UTC Time:", utc_dt) ist = timezone(timedelta(hours=5, minutes=30)) ist_dt = utc_dt.astimezone(ist) print("IST Time:", ist_dt)

Using pytz Library

For advanced timezone support, install pytz:

pip install pytz
from datetime import datetime import pytz utc = pytz.utc ist = pytz.timezone('Asia/Kolkata') dt_utc = datetime.now(utc) dt_ist = dt_utc.astimezone(ist) print("UTC Time:", dt_utc) print("IST Time:", dt_ist)

Measuring Elapsed Time

import time from datetime import datetime start = datetime.now() time.sleep(2) end = datetime.now() elapsed = end - start print("Elapsed Time:", elapsed)

Replacing DateTime Attributes

now = datetime.now() new_time = now.replace(hour=18, minute=0) print("Replaced:", new_time)

Sorting datetime List

dates = [ datetime(2025, 6, 25), datetime(2025, 6, 27), datetime(2025, 6, 20) ] dates.sort() for d in dates: print(d)

Creating Recurring Dates

start_date = date(2025, 6, 1) for i in range(5): recurring = start_date + timedelta(weeks=i) print(recurring)

Working with Weekdays

today = date.today() print("Weekday (0=Mon):", today.weekday()) print("ISO Weekday (1=Mon):", today.isoweekday())

Week Number of the Year

dt = datetime(2025, 6, 27) week_number = dt.isocalendar().week print("Week number:", week_number)

The Python datetime module is a rich and flexible library for working with dates and times. Whether you are building calendars, timestamping data, or doing time zone conversion, datetime has got you covered. By understanding the core classes such as date, time, datetime, and timedelta, you can handle most common and complex time-related requirements in Python projects. Incorporating timezone handling via pytz further elevates your application’s capability to deal with international time standards effectively.

Mastering this module is essential for any Python developer working on real-world applications, scheduling systems, logs, analytics, or data pipelines. With a structured approach and hands-on practice, datetime can significantly simplify your temporal programming needs.

Frequently Asked Questions for Python

Python is commonly used for developing websites and software, task automation, data analysis, and data visualisation. Since it's relatively easy to learn, Python has been adopted by many non-programmers, such as accountants and scientists, for a variety of everyday tasks, like organising finances.


Python's syntax is a lot closer to English and so it is easier to read and write, making it the simplest type of code to learn how to write and develop with. The readability of C++ code is weak in comparison and it is known as being a language that is a lot harder to get to grips with.

Learning Curve: Python is generally considered easier to learn for beginners due to its simplicity, while Java is more complex but provides a deeper understanding of how programming works. Performance: Java has a higher performance than Python due to its static typing and optimization by the Java Virtual Machine (JVM).

Python can be considered beginner-friendly, as it is a programming language that prioritizes readability, making it easier to understand and use. Its syntax has similarities with the English language, making it easy for novice programmers to leap into the world of development.

To start coding in Python, you need to install Python and set up your development environment. You can download Python from the official website, use Anaconda Python, or start with DataLab to get started with Python in your browser.

Learning Curve: Python is generally considered easier to learn for beginners due to its simplicity, while Java is more complex but provides a deeper understanding of how programming works.

Python alone isn't going to get you a job unless you are extremely good at it. Not that you shouldn't learn it: it's a great skill to have since python can pretty much do anything and coding it is fast and easy. It's also a great first programming language according to lots of programmers.

The point is that Java is more complicated to learn than Python. It doesn't matter the order. You will have to do some things in Java that you don't in Python. The general programming skills you learn from using either language will transfer to another.


Read on for tips on how to maximize your learning. In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.


6 Top Tips for Learning Python

  • Choose Your Focus. Python is a versatile language with a wide range of applications, from web development and data analysis to machine learning and artificial intelligence.
  • Practice regularly.
  • Work on real projects.
  • Join a community.
  • Don't rush.
  • Keep iterating.

The following is a step-by-step guide for beginners interested in learning Python using Windows.

  • Set up your development environment.
  • Install Python.
  • Install Visual Studio Code.
  • Install Git (optional)
  • Hello World tutorial for some Python basics.
  • Hello World tutorial for using Python with VS Code.

Best YouTube Channels to Learn Python

  • Corey Schafer.
  • sentdex.
  • Real Python.
  • Clever Programmer.
  • CS Dojo (YK)
  • Programming with Mosh.
  • Tech With Tim.
  • Traversy Media.

Python can be written on any computer or device that has a Python interpreter installed, including desktop computers, servers, tablets, and even smartphones. However, a laptop or desktop computer is often the most convenient and efficient option for coding due to its larger screen, keyboard, and mouse.

Write your first Python programStart by writing a simple Python program, such as a classic "Hello, World!" script. This process will help you understand the syntax and structure of Python code.

  • Google's Python Class.
  • Microsoft's Introduction to Python Course.
  • Introduction to Python Programming by Udemy.
  • Learn Python - Full Course for Beginners by freeCodeCamp.
  • Learn Python 3 From Scratch by Educative.
  • Python for Everybody by Coursera.
  • Learn Python 2 by Codecademy.

  • Understand why you're learning Python. Firstly, it's important to figure out your motivations for wanting to learn Python.
  • Get started with the Python basics.
  • Master intermediate Python concepts.
  • Learn by doing.
  • Build a portfolio of projects.
  • Keep challenging yourself.

Top 5 Python Certifications - Best of 2024
  • PCEP (Certified Entry-level Python Programmer)
  • PCAP (Certified Associate in Python Programmer)
  • PCPP1 & PCPP2 (Certified Professional in Python Programming 1 & 2)
  • Certified Expert in Python Programming (CEPP)
  • Introduction to Programming Using Python by Microsoft.

The average salary for Python Developer is ₹5,55,000 per year in the India. The average additional cash compensation for a Python Developer is within a range from ₹3,000 - ₹1,20,000.

The Python interpreter and the extensive standard library are freely available in source or binary form for all major platforms from the Python website, https://www.python.org/, and may be freely distributed.

If you're looking for a lucrative and in-demand career path, you can't go wrong with Python. As one of the fastest-growing programming languages in the world, Python is an essential tool for businesses of all sizes and industries. Python is one of the most popular programming languages in the world today.

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