🤪 About: This article does only one thing: giving this excellent StackOverflow answer a platform — and formatting it a bit for ease of reading. You can’t parse [X]HTML with regex. Because HTML can’t be parsed by regex. Regex is not a tool that can be used to correctly parse HTML. As I have answered … Read more
💡 Problem Formulation: Converting a string to a float array in Python is a common task when dealing with numeric data encoded as text. For instance, you might have a string “1.5, 3.67, 5.0” which represents a series of decimal numbers that need to be converted into a float array: [1.5, 3.67, 5.0]. This conversion … Read more
💡 Problem Formulation: In Python, a common need is to create a list out of a string. For instance, you may have a string “apple, banana, cherry” and you want to convert it to a list [‘apple’, ‘banana’, ‘cherry’]. This task involves identifying a delimiter (a comma in this case) and splitting the string into … Read more
Problem Formulation Imagine a scenario where you have a list of strings and your goal is to filter out only those strings that end with a specific suffix. Here’s a minimal example with the desired input and output: Input: Output: Method 1: Using a Loop with endswith() Python’s endswith() string method can be used within … Read more
💡 Problem Formulation: When working with lists of strings in Python, a common task is to filter the list based on whether the strings start with a specific prefix. Suppose you have a list of names, and you want to retrieve only those that start with the letter “J”. Below are several methods to accomplish … Read more
💡 Problem Formulation: When working with a list of strings in Python, a common task is to filter the list based on specific patterns. Regular Expressions (regex) are a powerful way of defining these patterns, enabling complex matching criteria that can go well beyond simple substring checks. Let’s see how we can use regex to … Read more
💡Problem Formulation: In Python, a common task is to filter a list of strings based on some pattern which may include wildcards (also called asterisks or star * operators). A wildcard character can represent one or multiple characters, making it a powerful tool for string pattern matching. Let’s look at several methods to do so … Read more
When working with text in Python, a common task is to determine how often a specific character or set of characters occurs within a string. This can be useful in various applications such as data preprocessing, parsing, or simply assessing the content of a string. 💡 Problem Formulation: The task is to write a Python … Read more
I have just created this small helper tool to extract all email addresses from a huge text file or string. Simply copy and paste your text into the field and click “Extract Emails“: 👇 Email Extractor Enter Text: Extract Emails Copy to Clipboard Extracted Emails: JavaScript Regex In the online tool above, I used a … Read more
In Python, you can use the glob module’s glob.glob(pattern) function to find all the pathnames matching a specified pattern (e.g., ‘*.py’) according to the rules used by the Unix shell, which includes functionality for wildcard matching that can be used similarly to regular expressions for filename matching. Here’s a minimal example that filters out all … Read more
When working with lists that contain Unicode strings, you may encounter characters that make it difficult to process or manipulate the data or handle internationalized content or content with emojis 😻. In this article, we will explore the best ways to remove Unicode characters from a list using Python. You’ll learn several strategies for handling … Read more
You can use the re module in Python to use regular expressions. Here’s an example of how you can use it to find <h1>…</h1> in a string: The output is ‘My First Heading’: In this example, the re.findall() function returns all non-overlapping matches of pattern in string, as a list of strings. The string is … Read more