Tutorial Playlist
200 Lessons1. Introduction to Python
2. Features of Python
3. How to install python in windows
4. How to Install Python on macOS
5. Install Python on Linux
6. Hello World Program in Python
7. Python Variables
8. Global Variable in Python
9. Python Keywords and Identifiers
10. Assert Keyword in Python
11. Comments in Python
12. Escape Sequence in Python
13. Print In Python
14. Python-if-else-statement
15. Python for Loop
16. Nested for loop in Python
17. While Loop in Python
18. Python’s do-while Loop
19. Break in Python
20. Break Pass and Continue Statement in Python
21. Python Try Except
22. Data Types in Python
23. Float in Python
24. String Methods Python
25. List in Python
26. List Methods in Python
27. Tuples in Python
28. Dictionary in Python
29. Set in Python
30. Operators in Python
31. Boolean Operators in Python
32. Arithmetic Operators in Python
33. Assignment Operator in Python
34. Bitwise operators in Python
35. Identity Operator in Python
36. Operator Precedence in Python
37. Functions in Python
38. Lambda and Anonymous Function in Python
39. Range Function in Python
40. len() Function in Python
41. How to Use Lambda Functions in Python?
42. Random Function in Python
43. Python __init__() Function
44. String Split function in Python
45. Round function in Python
46. Find Function in Python
47. How to Call a Function in Python?
48. Python Functions Scope
49. Method Overloading in Python
50. Method Overriding in Python
51. Static Method in Python
52. Python List Index Method
53. Python Modules
54. Math Module in Python
55. Module and Package in Python
56. OS module in Python
57. Python Packages
58. OOPs Concepts in Python
59. Class in Python
60. Abstract Class in Python
61. Object in Python
62. Constructor in Python
63. Inheritance in Python
64. Multiple Inheritance in Python
65. Encapsulation in Python
66. Data Abstraction in Python
67. Opening and closing files in Python
68. How to open JSON file in Python
69. Read CSV Files in Python
70. How to Read a File in Python
71. How to Open a File in Python?
72. Python Write to File
73. JSON Python
74. Python JSON – How to Convert a String to JSON
75. Python JSON Encoding and Decoding
76. Exception Handling in Python
77. Recursion in Python
78. Python Decorators
79. Python Threading
80. Multithreading in Python
81. Multiprocеssing in Python
82. Python Regular Expressions
83. Enumerate() in Python
84. Map in Python
85. Filter in Python
86. Eval in Python
87. Difference Between List, Tuple, Set, and Dictionary in Python
88. List to String in Python
89. Linked List in Python
90. Length of list in Python
91. Reverse a List in Python
92. Python List remove() Method
93. How to Add Elements in a List in Python
94. How to Reverse a List in Python?
95. Difference Between List and Tuple in Python
96. List Slicing in Python
97. Sort in Python
98. Merge Sort in Python
99. Selection Sort in Python
100. Sort Array in Python
101. Sort Dictionary by Value in Python
102. Datetime Python
103. Random Number in Python
104. 2D Array in Python
105. Abs in Python
106. Advantages of Python
107. Anagram Program in Python
108. Append in Python
109. Applications of Python
110. Armstrong Number in Python
111. Assert in Python
112. Binary Search in Python
113. Binary to Decimal in Python
114. Bool in Python
115. Calculator Program in Python
116. chr in Python
117. Control Flow Statements in Python
118. Convert String to Datetime Python
Now Reading
119. Count in python
120. Counter in Python
121. Data Visualization in Python
122. Datetime in Python
123. Extend in Python
124. F-string in Python
125. Fibonacci Series in Python
126. Format in Python
127. GCD of Two Numbers in Python
128. How to Become a Python Developer
129. How to Run Python Program
130. In Which Year Was the Python Language Developed?
131. Indentation in Python
132. Index in Python
133. Interface in Python
134. Is Python Case Sensitive?
135. Isalpha in Python
136. Isinstance() in Python
137. Iterator in Python
138. Join in Python
139. Leap Year Program in Python
140. Lexicographical Order in Python
141. Literals in Python
142. Matplotlib
143. Matrix Multiplication in Python
144. Memory Management in Python
145. Modulus in Python
146. Mutable and Immutable in Python
147. Namespace and Scope in Python
148. OpenCV Python
149. Operator Overloading in Python
150. ord in Python
151. Palindrome in Python
152. Pass in Python
153. Pattern Program in Python
154. Perfect Number in Python
155. Permutation and Combination in Python
156. Prime Number Program in Python
157. Python Arrays
158. Python Automation Projects Ideas
159. Python Frameworks
160. Python Graphical User Interface GUI
161. Python IDE
162. Python input and output
163. Python Installation on Windows
164. Python Object-Oriented Programming
165. Python PIP
166. Python Seaborn
167. Python Slicing
168. type() function in Python
169. Queue in Python
170. Replace in Python
171. Reverse a Number in Python
172. Reverse a string in Python
173. Reverse String in Python
174. Stack in Python
175. scikit-learn
176. Selenium with Python
177. Self in Python
178. Sleep in Python
179. Speech Recognition in Python
180. Split in Python
181. Square Root in Python
182. String Comparison in Python
183. String Formatting in Python
184. String Slicing in Python
185. Strip in Python
186. Subprocess in Python
187. Substring in Python
188. Sum of Digits of a Number in Python
189. Sum of n Natural Numbers in Python
190. Sum of Prime Numbers in Python
191. Switch Case in Python
192. Python Program to Transpose a Matrix
193. Type Casting in Python
194. What are Lists in Python?
195. Ways to Define a Block of Code
196. What is Pygame
197. Why Python is Interpreted Language?
198. XOR in Python
199. Yield in Python
200. Zip in Python
Precision and accuracy are essential when handling date and time data in Python. This guide offers an in-depth exploration of datetime conversion, ensuring you can achieve precise results in your applications. From converting strings to datetime objects to managing time zones and working with time durations, you'll become a proficient datetime handler.
Before diving into the various convert string to datetime Python and conversion methods, let's establish some key concepts:
The Python strptime method can parse a string and convert it into a datetime object. It requires two parameters: the string to be converted and a format string that defines the expected format of the input string. Let's explore this technique with examples:
Example 1: Convert String to Datetime Python
from datetime import datetime
date_str = "2023-10-14 15:30:00"
format_str = "%Y-%m-%d %H:%M:%S"
date_obj = datetime.strptime(date_str, format_str)
print(date_obj)
Output of Python string to datetime yyyy-mm-dd:
2023-10-14 15:30:00
In this Python string to datetime yyyy-mm-dd example, the format string "%Y-%m-%d %H:%M:%S" corresponds to the structure of the date_str, resulting in a datetime object representing the date and time specified in the string.
Example 2: Handling a Different Python datetime format
from datetime import datetime
date_str = "October 15, 2023"
format_str = "%B %d, %Y"
date_obj = datetime.strptime(date_str, format_str)
print(date_obj)
Output:
2023-10-15 00:00:00
Example 3: Parsing a Custom Date Format
from datetime import datetime
date_str = "22-03-25 17:45:30"
format_str = "%y-%m-%d %H:%M:%S"
date_obj = datetime.strptime(date_str, format_str)
print(date_obj)
Output:
2022-03-25 17:45:30
Here, we demonstrate the flexibility of Python strptime by providing a custom format string to parse a non-standard Python datetime format.
The dateutil module library parses and manipulates dates and times. It excels when dealing with date strings of varying formats. Before using it, ensure it's installed (if not already) by running pip install python-dateutil.
Let's explore this method:
Example 1: Parsing a Date String with dateutil
from dateutil import parser
date_str = "October 14, 2023 15:30:00"
date_obj = parser.parse(date_str)
print(date_obj)
Output:
2023-10-14 15:30:00
The dateutil.parser.parse() method effortlessly handles a wide range of date and time formats, simplifying the conversion process.
Example 2: Parsing a Different Date Format
from dateutil import parser
date_str = "2023/10/14"
date_obj = parser.parse(date_str)
print(date_obj)
Output:
2023-10-14 00:00:00
This example demonstrates the dateutil module's ability to parse date strings in various formats.
Example 3: Parsing a Date String with Year-First Format
from dateutil import parser
date_str = "22-03-25 17:45:30"
date_obj = parser.parse(date_str, yearfirst=True)
print(date_obj)
Output:
2022-03-25 17:45:30
By specifying yearfirst=True, you can handle date strings where the year appears first, which is common in some date formats.
This method allows you to specify a custom format string to determine how the datetime should be formatted as a string. Let's explore convert datetime to date Python with examples:
Example 1: Formatting a Datetime Object
from datetime import datetime
date_obj = datetime(2023, 10, 14, 15, 30, 0)
format_str = "%Y-%m-%d %H:%M:%S"
date_str = date_obj.strftime(format_str)
print(date_str)
Output:
2023-10-14 15:30:00
Example 2: Formatting a Datetime Object with a Different Format
from datetime import datetime
date_obj = datetime(2023, 10, 14)
format_str = "%B %d, %Y"
date_str = date_obj.strftime(format_str)
print(date_str)
Output:
October 14, 2023
In this case, the strftime() method is used to format the datetime object with a custom format that includes the month's full name.
Example 3: Custom Formatting of a Datetime Object
from datetime import datetime
date_obj = datetime(2022, 4, 25, 9, 15)
format_str = "%d-%m-%Y %H:%M:%S"
date_str = date_obj.strftime(format_str)
print(date_str)
Output:
25-04-2022 09:15:00
This example illustrates how you can create a custom format convert string to time python object according to your specific requirements.
A datetime object to a string can be done using the str() function. It provides a simple way to obtain the default string representation of a datetime object.
Let's look at some examples:
Example 1: Converting a Datetime Object to a String
from datetime import datetime
date_obj = datetime(2023, 10, 14, 15, 30, 0)
date_str = str(date_obj)
print(date_str)
Output:
2023-10-14 15:30:00
In this example, the str() function converts the date_obj datetime object to its default string representation.
Example 2: Converting a Datetime Object to a String with a Different Format
from datetime import datetime
date_obj = datetime(2023, 10, 14, 15, 30, 0)
date_str = date_obj.strftime("%A, %B %d, %Y %I:%M %p")
print(date_str)
Output:
Saturday, October 14, 2023 03:30 PM
Here, we format the datetime object using the strftime() method within the str() function to create a custom string representation.
Example 3: Converting a Datetime Object to a String with a Custom Format
from datetime import datetime
date_obj = datetime(2022, 4, 25, 9, 15)
date_str = date_obj.strftime("%d-%m-%Y %H:%M:%S")
print(date_str)
Output:
25-04-2022 09:15:00
Time zones determine how local time relates to Coordinated Universal Time (UTC) and are essential when working with datetime objects that need to reflect a specific geographic location. Python's standard library provides the pytz library and the datetime module's timezone class to handle time zones effectively.
Example: Creating a Datetime Object with a Specific Time Zone
from datetime import datetime
import pytz
tz = pytz.timezone('America/New_York')
date_obj = datetime(2023, 10, 14, 15, 30, 0, tzinfo=tz)
print(date_obj)
Output:
2023-10-14 15:30:00-04:00
Example: Converting a Datetime Object to a Different Time Zone
from datetime import datetime
import pytz
utc_time = datetime(2023, 10, 14, 15, 30, 0, tzinfo=pytz.utc)
ny_time = utc_time.astimezone(pytz.timezone('America/New_York'))
print(ny_time)
Output:
2023-10-14 11:30:00-04:00
In many cases, you'll need to work with time durations or intervals. You can use the timedelta class from the datetime module. A timedelta represents a duration, allowing you to add or subtract a specific amount of time from a datetime object. Here are some examples:
Example 1: Adding a Timedelta to a Datetime Object
from datetime import datetime, timedelta
date_obj = datetime(2023, 10, 14, 15, 30, 0)
duration = timedelta(days=7)
new_date_obj = date_obj duration
print(new_date_obj)
Output:
2023-10-21 15:30:00
Example 2: Calculating the Time Difference Between Datetime Objects
from datetime import datetime
start_time = datetime(2023, 10, 14, 15, 30, 0)
end_time = datetime(2023, 10, 21, 15, 30, 0)
time_difference = end_time - start_time
print(time_difference.days, "days")
Output:
7 days
Here, we calculate the time difference between two datetime objects using subtraction.
Example 3: Creating a Countdown Timer with Python datetime now
from datetime import datetime, timedelta
event_time = datetime(2023, 12, 31, 23, 59, 59)
current_time = datetime.now()
time_remaining = event_time - current_time
days = time_remaining.days
hours, remainder = divmod(time_remaining.seconds, 3600)
minutes, seconds = divmod(remainder, 60)
print(f"{days} days, {hours} hours, {minutes} minutes, and {seconds} seconds until the event.")
It calculates the time remaining until a specified event using a timedelta Python datetime now and displays the countdown in days, hours, minutes, and seconds.
When dealing with date and time input from different locales or data sources, it's recommended to use the dateutil module. This module can parse different date and time formats for handling diverse input sources.
For instance, you can parse date strings in various languages and formats with ease:
Example 1: Parsing a Date String in Spanish
from dateutil import parser
date_str = "14 octubre 2023 15:30:00"
date_obj = parser.parse(date_str, dayfirst=True, languages=['es'])
print(date_obj)
Output:
2023-10-14 15:30:00
Here, we specify the 'es' (Spanish) language to parse the date string correctly.
Example 2: Parsing a Date String in French
from dateutil import parser
date_str = "15 octobre 2023 15:30:00"
date_obj = parser.parse(date_str, dayfirst=True, languages=['fr'])
print(date_obj)
Output:
2023-10-15 15:30:00
This example demonstrates the dateutil module's ability to parse date strings in French.
Example 3: Parsing a Date String with Implicit Language Detection
from dateutil import parser
date_str = "Martes, 14 de octubre de 2023, 15:30"
date_obj = parser.parse(date_str, dayfirst=True)
print(date_obj)
Output:
2023-10-14 15:30:00
In this example, the dateutil module automatically detects the language and parses the date string accordingly.
Here are some advanced techniques and considerations to be aware of:
Python Datetime in Web Development
Datetime conversion is particularly relevant in web development, as web applications often need to process and display dates and times. Below are some examples of how datetime conversion is useful in the context of web development:
Datetime conversion is a fundamental skill for Python developers, applicable in various domains, including web development, scientific research, financial applications, and beyond. By understanding and mastering these techniques, you can work with any datetime data and ensure your Python applications handle date and time information accurately and reliably.
1. Are there third-party libraries for more advanced datetime operations in Python?
Yes, there are several third-party libraries, such as arrow, pendulum, and dateparser, which offer advanced features for datetime manipulation, time zone handling, and more. These libraries can simplify complex datetime operations in Python.
2. What are the common mistakes when working with datetime objects in Python?
Common mistakes include neglecting time zone considerations, not handling daylight saving time transitions, and overlooking the importance of formatting and parsing datetime strings accurately.
3. How can I handle datetime data in large-scale, distributed systems and microservices architecture?
Handling datetime data in large-scale and distributed systems requires a well-defined approach to ensure consistency across various components. Utilizing a centralized time service or a standardized format like ISO 8601 is often recommended.
4. Are there any limitations to handling extremely distant past or future dates with Python datetime objects?
Python's datetime module has limitations when working with dates outside a certain range, typically around 1 AD to 9999 AD. Handling dates beyond this range may require custom implementations or alternative libraries.
5. What is the significance of leap seconds in datetime calculations?
Leap seconds are added to the Coordinated Universal Time (UTC) to account for irregularities in Earth's rotation. When working with datetime data, you need to consider these leap seconds for accurate time calculations.
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upGrad does not grant credit; credits are granted, accepted or transferred at the sole discretion of the relevant educational institution offering the diploma or degree. We advise you to enquire further regarding the suitability of this program for your academic, professional requirements and job prospects before enr...