Showing posts with the label try and except logic

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Python Regex: The 5 Exclusive Examples

 Regular expressions (regex) are powerful tools for pattern matching and text manipulation in Python. Here are five Python regex examples with explanations: 01 Matching a Simple Pattern import re text = "Hello, World!" pattern = r"Hello" result =, text) if result:     print("Pattern found:", Output: Output: Pattern found: Hello This example searches for the pattern "Hello" in the text and prints it when found. 02 Matching Multiple Patterns import re text = "The quick brown fox jumps over the lazy dog." patterns = [r"fox", r"dog"] for pattern in patterns:     if, text):         print(f"Pattern '{pattern}' found.") Output: Pattern 'fox' found. Pattern 'dog' found. It searches for both "fox" and "dog" patterns in the text and prints when they are found. 03 Matching Any Digit   import re text = "The price of the

How to Use Python Try and Except Logic Correctly

In Python, you can avoid exceptions using Try and Except logic. The Error-free programs save a lot of time. Also, you can keep away defects in production.   How to Use Python Try and Except Logic Correctly In Python, you can handle un-known errors by using TRY and EXCEPT logic. If the programmer does not take care of this, the default is for  Python to print  an error message and stops execution.  So the responsibility of a programmer is upfront he/she has to find errors and handle them correctly. It is possible if you use the  TRY and EXCEPT. Python Syntax for Try and Except. try:       c = a/b except:       c = 1000000 Try ends with ':' it says that Try block start here. In this block, you can write actual logic. The Except: is another block. That means in this block programmer can specify some value. And that value populates when any error happens. Try and Except Examples. Example: 1. Below is the example to give the expected error in except. try:       c = a/b except Ze