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In C++, it is faster to process a sorted array than an unsorted array due to some reasons related to algorithm efficiency and data access patterns. In this article, we see why this is the case and how sorting can improve performance of array processing. First of all, let see an example of processing time of a sorted and unsorted array. Processing Time: Sorted vs Unsorted Array In the example code below, we have used library of C++ STL to measure the time taken to process an unsorted array and a sorted array. The code counts how many ... Read More
This article gives a guide on how to capture an exception raised by a regular expression in Python. We will also see simple example programs that show how to do this. Regular expressions are useful for matching patterns in text, but they may result in errors like incorrect syntax or mismatches. Python uses exception handling (try-except) to handle these errors to avoid errors. For example, if the given pattern is "[a-z", which is an incorrect pattern that can lead to an error showing that the character set is invalid, because the closing bracket ] is missing. Python Regex Exception ... Read More
This article talks about how you can clear the regular expression cache in Python. Regular expressions in Python are used to find patterns in text, but they also use an internal cache to store frequently used expressions for faster execution. We may sometimes need to clear this cache to free up memory or reset stored patterns. You can do this using Python's re.purge() method. Why Clear Regex Cache? You need to clear the regex cache for the following reasons - Too many stored patterns may consume your system's memory. If you are dynamically updating regex patterns, deleting the cache ... Read More
In this article, we are going to learn how to extract a URL from an HTML link using Python regular expressions. URL is an acronym for Uniform Resource Locator; it is used to identify the location resource on the Internet. URL consists of a domain name, path, port number, etc. The URL can be parsed and processed by using a Regular Expression. Therefore, if we want to use a Regular Expression, we have to use the "re" library in Python. Following is an example of a URL - URL: https://www.tutorialspoint.com/courses If we parse the above URL we can find ... Read More
In this article, you will find out how to use the range in Python regular expressions. With the help of Python's regular expressions, you can search, match, and manipulate text efficiently. One useful feature in regex is ranges, so it helps us define sets of characters within square brackets "[ ]". Range in Regex In Python, a range is used when you want to match characters within a specific group. It is defined inside brackets "[ ]" with the help of a hyphen -. For example: # Matches any digit (0 to 9) pat1 = r"[0-9]" ... Read More
This article will explain how to write a Python regular expression to use re.findall() method. Regular expression, or regex, is used insearching and extracting patterns in text. Python provides the re module to work with regex, and re.findall() to find all matches of a pattern in a string. The re.findall() method returns a list of all occurrences of a pattern. It works with strings for extracting data. And it supports metacharacters for pattern matching. There are various ways to use the re.findall() method in Python, such as - Finds One or More Digits Find All Words in a String Extract ... Read More
In C++, you can pass a std::vector to a class constructor to create a list of values when the object is created. So that the object can store or work with a list of values right from the beginning. Why do You Pass a Vector to a Constructor? Passing a Vector to a Constructor allows the object to be initialized with data at the time of creation. When you pass a vector to a function, it simplifies the code by eliminating the need to initialize the function parameters, as the vector ... Read More
Backslashes in Python regular expressions (regex) are used to define special sequences and escape characters. As backslashes are also used in Python strings, we need to be careful while using them. How Backslashes Work Now let us see how backslashes work in Python regular expressions - Escaping Characters: Some characters have specific meanings in regex (such as . or *). To treat them as normal characters, use a backslash (\.). ... Read More
This article gives a guide on the difference between re.findall() and re.finditer() methods available in Python. The re module of Python helps in working with regular expressions. Both the re.findall() and re.finditer() methods are used to search for patterns, but they behave differently. Let us see the differences with simple explanations and examples in this article. Using re.findall() Method The re.findall() helps to get a list of all matching patterns. It searches from the start or end of the given string. If we use the findall() method to search for a pattern in a given string, it will return all occurrences ... Read More
Python offers many built-in data structures like lists, tuples, sets, and dictionaries, which are used to store and manage data easily. In this article, we will discuss the difference between a Python tuple and a dictionary. Tuple Tuples are a data type that belongs to the sequence data type category. They are similar to lists in Python, but they are immutable. We can't change the elements of a tuple, but we can execute a variety of actions on them, such as count, index, type, etc. Tuples are created in Python by placing a sequence of values separated by a 'comma', with or ... Read More