The Spanish words representing the digits 0 to 9ĩ digit U.S. The German words representing the digits 0 to 9 The French words representing the digits 0 to 9 The English words representing the digits 0 to 9Įnglish 2 character abbreviations for the days of the weekĮnglish 3 character abbreviations for the months
It's modular, adaptable, scalable, and clear.Lower and upper case letters and all digitsĭate in US format with support for leap yearsĤ to 8 character password requiring numbers and both lowercase and uppercase to 128 character password requiring at least 3 out 4 (uppercase and lowercase letters, numbers and special characters) and no more than 2 equal characters in a row The point here is that even using generic regex patterns found online, I still have a very Java-like flavor to the code. Better yet, more country codes can be added without requiring code changes: Simply add the appropriate entries to the regex.properties file. Thus, they'll always have a beginning of line and an end of line.īecause the regex patterns are externalized, they can be tweaked later to become more accommodating for the various regions. Another way to represent a zip code is by a 5-digit number, followed by a dash (-), followed by 4 digits. One way is just simply with a 5-digit number, such as 22456. So there are really 2 ways to represent zip codes in the United States.
The more precise the pattern, the better it will perform.Īll zip codes will be coming into the method as extracted strings. In this article, we show how to match a zip code in Python using regular expressions.
Through a list of examples, we will build a script to validate phone numbers, UK postal codes, along with more examples. With a little extra effort, you can create much more complicated validation patterns on your own This URL regex will validate most common URL formats correctly. Surrounded the pattern with a beginning-of-line ^ tag and an end-of-line $ tag In today’s post I’ll show you how to use JavaScript regular expression to validate U.S phone number. Optional subpatterns inside a optional noncapturing group can be hard to follow. Listing 5-2 summarizes the entries made to the regex.properties file.Ġ5 *Validates zip codes from the given country.Ġ9 private static Logger log = Logger.getAnonymousLogger() ġ0 private static final String ZIP_PATTERN="zip" ġ1 private static RegexProperties regexProperties ġ8 regexProperties = new RegexProperties() ġ9 regexProperties.load("./regex.properties") Ģ6 public static void main(String args)?\s? out of the noncapturing group For example, since the country code for Japan is JP, I define the key to the zip code pattern for Japan as zipJP. Therefore, I can define the property file keys based on that country code.
That is, I'm anticipating that I'll have access to the country code for each of these regex patterns. Code is provided in PHP but the REGEX codes are. I decide to use intelligent keys for the property keys. First one I’m sharing here today is the combination of regular expression and the PHP code to do ZIP code (or Postal Code) validation for following 12 countries: United States of America, United Kingdom, Germany, Canada, France, Italy, Australia, Netherlands, Spain, Denmark, Sweden & Belgium. The point of doing so, of course, is to externalize the expressions themselves and to avoid having to double-delimit special characters. Next, I take those regular expressions and create entries in the regex.properties file, so I can use the RegexProperties class from Chapter 4. This returns regular expressions for all of the countries previously mentioned. The first thing I do is search the Web for patterns, starting at. Suddenly, there's requirements creep: It now needs to validate zip codes for Canada, the United Kingdom, Argentina, Sweden, Japan, and the Netherlands as well. Residents residing in qualifying regions of the United States. It needs to accommodate zip codes that are only five digits long. postal code), allowing both the five-digit and nine-digit (called ZIP+4) formats. The method needs to accommodate punctuation, a space, or no delimiter at all between the five-digit and four-digit parts of the zip code. The next challenge is to provide a method that confirms zip codes for the United States.