Skip to main content

Time Module in Python

 


Learning Sections         show

Time Module in Python

Introduction

The time module in Python provides various functions to handle time-related tasks. It allows you to work with time in different ways, such as fetching the current time, measuring execution time, and formatting time representations.

Basic Functions

Here are some basic functions provided by the time module:

  • time.time(): Returns the current time in seconds since the Epoch (January 1, 1970, 00:00:00 UTC).
  • time.sleep(secs): Suspends execution for the given number of seconds.
  • time.ctime([secs]): Converts a time expressed in seconds since the Epoch to a string representing local time.
  • time.localtime([secs]): Converts a time expressed in seconds since the Epoch to a struct_time in local time.
  • time.gmtime([secs]): Converts a time expressed in seconds since the Epoch to a struct_time in UTC.
Example Usage

Let's look at some examples to understand how these functions work.


import time

# Get the current time in seconds since the Epoch
current_time = time.time()
print("Current time:", current_time)

# Suspend execution for 2 seconds
time.sleep(2)

# Convert current time to a readable string
readable_time = time.ctime(current_time)
print("Readable time:", readable_time)

# Convert current time to struct_time in local time
local_time = time.localtime(current_time)
print("Local time:", local_time)

# Convert current time to struct_time in UTC
utc_time = time.gmtime(current_time)
print("UTC time:", utc_time)
    
Formatting Time

The time module also provides functions to format and parse time representations.

  • time.strftime(format, [t]): Converts a struct_time or tuple representing a time to a string as specified by the format argument.
  • time.strptime(string, format): Parses a string representing a time according to a format.
Example Usage of Formatting Functions

import time

# Format current local time as a string
formatted_time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
print("Formatted time:", formatted_time)

# Parse a string to struct_time
time_string = "2024-05-27 10:30:00"
parsed_time = time.strptime(time_string, "%Y-%m-%d %H:%M:%S")
print("Parsed time:", parsed_time)
    
Measuring Execution Time

The time module can be used to measure the execution time of code snippets using time.time() or time.perf_counter() for higher precision.


import time

# Measure execution time using time.time()
start_time = time.time()
# Some code to measure
end_time = time.time()
execution_time = end_time - start_time
print("Execution time:", execution_time)

# Measure execution time using time.perf_counter()
start_perf_time = time.perf_counter()
# Some code to measure
end_perf_time = time.perf_counter()
perf_execution_time = end_perf_time - start_perf_time
print("Performance execution time:", perf_execution_time)
    

Popular posts from this blog

Introduction to Python Programming

  Learning Sections      show History of Python Python was created by Guido van Rossum and first released in 1991. He wanted to create a language that was easy to read and simple to use. The name "Python" comes from the British comedy series "Monty Python's Flying Circus". Key Features of Python Readability: Python's syntax is clear and easy to read. Ease of Learning: Python is straightforward, making it great for beginners. High-Level Language: Python handles much of the complexity of the computer’s operations. Interpreted Language: Python runs code line-by-line, which makes debugging easier. Dynamically Typed: You don’t need to declare variable types. Extensive Standard Library: Python has many built-in modules for various tasks. Portability: ...

Learn Python

  Learning Sections Introduction to Python Comment, escape sequence and print statement in Python Variables and Data Types in Python Typecasting in Python User input in Python String slicing and operations on string in Python String methods in Python If else conditional statements in Python Match case statement in Python For loops in Python While loops in Python Break and continue statement in Python Functions in Python Function Arguments in Python introduction to lists in Python List methods in Python Tuples in Python Operations on tuple in Python f strings in Python Docstrings in Python Recursion in Python Sets in Python Set methods in Python Dictionaries in Python for Loop with else in Python Exception Handling in Python Finally keyword in Python Raising custom errors in Python Short hand if else statements Enumerate Function in Python Virtual Environment in Python How import works in Python if __nam...

Comment, escape sequence and print statement in Python

Learning Sections      show 1. Comments in Python Comments are notes in the code that the Python interpreter ignores. They are used to explain and document the code, making it easier to understand and maintain. Single-line comments: Begin with the # symbol. Multi-line comments: Typically use triple quotes ''' or """ . # Single-line comment print ( "Hello, World!" ) # This comment is on the same line as the code """ Multi-line comment: This spans multiple lines. The Python interpreter will ignore these lines. """ print ( "Multi-line comments are often used for documentation." ) 2. Escape Sequences in Python Escape sequences are used to insert special characters into strings that are otherwise difficult to include directly. An escape sequence begins with a backslash ( \ ) followed by one or more characters. # Using escape s...