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Regular Expressions (RegEx) are a powerful tool and help us match patterns in a flexible, dynamic and efficient way, as well as to perform operations based on the results. In this tutorial, we'll take a look at how to validate an phone number in Java, using Regular Expressions (RegEx). If...
David Landup
Regular Expressions (RegEx) are one of the most powerful tools in programming, yet they're also commonly misunderstood. They help you match patterns in a flexible, dynamic and efficient way, as well as allow you to perform operations based on the results. This can include validating certain patterns that exist in...
Bilal Hamada
Matching strings or string patterns can be a real struggle. In the most common cases, you'll need these to validate emails, user inputs, file names, or most kinds of input strings. While there are many pattern-matching libraries and approaches - a time-tested approach is using Regular Expressions to define a...
Lazar Ristic
Text preprocessing is one of the most important tasks in Natural Language Processing (NLP). For instance, you may want to remove all punctuation marks from text documents before they can be used for text classification. Similarly, you may want to extract numbers from a text string. Writing manual scripts for...
Usman Malik
In this tutorial we are going to learn about using regular expressions in Python, including their syntax, and how to construct them using built-in Python modules. To do this we’ll cover the different operations in Python's re module, and how to use it in your Python applications. Regular expressions...
Esther Vaati
Many times when you're parsing text you find yourself needing to split strings on a comma character (or new lines, tabs, etc.), but then what if you needed to use a comma in your string and not split on it? An example of this could be a large number. So...
Scott Robinson
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