Have you ever wonder how does people easily extract emails or some part of information from a file or website? An example is whenever I organize a software giveaway, one email is considered as one entry. I can’t be copying and pasting thousand over emails one by one, so what I did was use regular expressions to search for an email string and extract it to a file.
A regular expression (regex or regexp for short) is a special text string for describing a search pattern. You can think of regular expressions as wildcards on steroids. You are probably familiar with wildcard notations such as *.txt to find all text files in a file manager. The regex equivalent is .*\.txt$.
Regular expressions can be also used in online forms to make sure you submit the correct information. You can write a regular expressions to check for the correct email format, phone number where it uses all digits/numbers and etc. I was trying to fill up a form but no matter how I tried, the form wouldn’t accept the phone number format. When I viewed the HTML source code, I found that it uses regular expressions to check for the valid phone number format. Sounds easy but analyzing how regular expression works is not easy. After a little research, I found 2 ways that is able to decode and explain the analyzed regular expressions.
Below is an example of regular expressions. I am sure you are now scratching your head like what I did when I saw this. I couldn’t understand a thing about regex syntax below. I didn’t want to waste my time in learning about regular expressions syntax because I seldom use it and I will end up forgetting them some day.
^0(6[\\s-]?[1-9]\\d{7}|[1-9]\\d[\\s-]?[1-9]\\d{6}|[1-9]\\d{2}[\\s-]?[1-9]\\d{5})$
What I need is an analyzer that is able to analyze regular expressions and let the computer decode the expression to display its elements in plain English. You can either use the online Regular Expressions Analyzer which don’t require downloading or installing any software. Just paste the regular expression syntax to the box and click Parse. The parser will parse it on the fly and produce a tree like representation.
Another method is to use Expresso, a free regular expression development tool that includes an Analyzer. Expresso displays this analysis in the Regex Analyzer as an expandable tree structure. The Analyzer updates automatically whenever the Regex changes. By selecting a node in the tree, you will highlight that portion of the regular expression. In addition to helping you understand the expression, this can be used to highlight text that you want to modify with the Builder or to run a Partial Match.
Expresso is free but you’ll have to register in order to remove the reminders to register your copy. Registration is free. Just enter your name and email and you’ll get your personalized User Name and Registration Code. I am sure you will now be able to understand the regular expressions more easily with Expresso and online regular expression analyzer without actually learning it.
Have you ever encountered problems in identifying what fonts is being used in an image? Of course fonts being used in popular movie banners can be found easily because you have the keyword but what if you found a free template and the font is not included? You either recreate the buttons with your own fonts replacing the original, or try posting in forums and hope that someone would have seen that font before and let you know what is the font name. There are so many fonts, maybe hundred of thousands fonts available on the internet and to identify an unknown font is definitely NOT an easy task!
Let’s face it, we’ve all been in a situation where we have accidentally deleted a required file, or lost important files on a ‘dead’ floppy. At this point, most people accept the loss with frustration, thinking that once a file’s gone, it’s gone. Not exactly. From a normal point of view, the file is gone and it’s not possible for the file to be still laying somewhere hidden from you. But from an experience computer person point of view, the file is still around and it’s recoverable IF the cluster hasn’t been overwritten.
