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8 Regular Expressions You Should Know

8 Regular Expressions You Should Know
Regular expressions are a language of their own. When you learn a new programming language, they're this little sub-language that makes no sense at first glance. Many times you have to read another tutorial, article, or book just to understand the "simple" pattern described. Today, we'll review eight regular expressions that you should know for your next coding project. Before we start, you might want to check out some of the regex apps on Envato Market, such as: You can extract emails, proxies, IPs, phone numbers, addresses, HTML tags, URLs, links, dates, etc. Extract, scrape, parse, harvest. Extract emails from an old CSV address book.Extract image sources from HTML files.Extract proxies from online websites.Extract URL results from Google.Fast regex testerAJAX-basedjQuery etc are not required.No database requiredAdvertisement ready This item is a PHP RegEx builder, which helps you to build Regular Expressions in an extensible PHP syntax. All that in a PHP syntax. my-us3r_n4m3 myp4ssw0rd

http://code.tutsplus.com/tutorials/8-regular-expressions-you-should-know--net-6149

Related:  Data Manipulation using REGEX

.NET Framework Regular Expressions Regular expressions provide a powerful, flexible, and efficient method for processing text. The extensive pattern-matching notation of regular expressions enables you to quickly parse large amounts of text to find specific character patterns; to validate text to ensure that it matches a predefined pattern (such as an e-mail address); to extract, edit, replace, or delete text substrings; and to add the extracted strings to a collection in order to generate a report. For many applications that deal with strings or that parse large blocks of text, regular expressions are an indispensable tool. The centerpiece of text processing with regular expressions is the regular expression engine, which is represented by the System.Text.RegularExpressions.Regex object in the .NET Framework. At a minimum, processing text using regular expressions requires that the regular expression engine be provided with the following two items of information:

Finding the natural number of topics for Latent Dirichlet Allocation - Christopher Grainger Update (July 13, 2014): I’ve been informed that I should be looking at hierarchical topic models (see Blei’s papers here and here). Thanks to Reddit users /u/GratefulTony and /u/EdwardRaff for bringing this to my attention. However, Redditor /u/NOTWorthless says HDPs do not provide a ‘posterior on the correct number of topics in any meaningful sense’. I’ll do more research and do a follow-up post.

Regular Expression Tutorial - Learn How to Use Regular Expressions This tutorial teaches you all you need to know to be able to craft powerful time-saving regular expressions. It starts with the most basic concepts, so that you can follow this tutorial even if you know nothing at all about regular expressions yet. The tutorial doesn't stop there. It also explains how a regular expression engine works on the inside, and alert you at the consequences. This helps you to quickly understand why a particular regex does not do what you initially expected.

Arun et al measure with NPR data · GitHub Skip to content Learn more Please note that GitHub no longer supports old versions of Firefox. We recommend upgrading to the latest Safari, Google Chrome, or Firefox. cigrainger/gist:62910e58db46b7397de2 Created How About Orange Here's a look at our upstairs guest bathroom. Last night I covered an accent wall with removable wallpaper. I love it! This bathroom has a peculiar layout. You walk in past the shower stall on the right, and when you hit the sink, you turn right to get to the toilet. Learn REGEX - RegExOne LINKS You're done! For now that is... I'm always looking to add more examples and lessons, so please shoot me an email (at regexone@gmail.com) if you have any suggestions or questions! Below are a number of other resources about regular expressions on the web, the most useful of which may be the documentation for whichever language that you use regular expressions in.

News and Events: PhD candidate in Computational Linguistics and Dialogue Processing - The Institute for Logic, Language and Computation Newsitem added on 10 September 2015. The ILLC is looking for a highly motivated, creative and talented PhD candidate to join the newly established Dialogue Modelling Group led by Raquel Fernández. The mission of the group is to understand dialogical interaction by developing empirically-motivated formal and computational models that can be applied to various dialogue processing tasks and to human-machine interaction. The PhD position is part of an NWO VIDI project focused on studying linguistic interaction in the presence of asymmetry, that is, imbalances or mismatches between dialogue participants. Looking into asymmetric settings provides a great opportunity for investigating the dynamic changes that linguistic interaction can potentially bring about: how do our choices of words and phrases contribute to language learning, to knowledge transfer, or to opinion shifts?

spreadshirt - TommyWhite.com Hiding The Bottom Menu On Spreadshirt Shops A visitor sent in a question today which I figured should be shared with everyone as others may have the same question. Q: I would like to know if possible is there way to hide or remove the tabs at the bottom they say, Terms of Service, Contact, Privacy, Intellectual Property, RSSFeed, Help ? A: [...] Regex Tutorial - Literal Characters and Special Characters The most basic regular expression consists of a single literal character, such as a. It matches the first occurrence of that character in the string. If the string is Jack is a boy, it matches the a after the J. The fact that this a is in the middle of the word does not matter to the regex engine. If it matters to you, you will need to tell that to the regex engine by using word boundaries. We will get to that later.

Imperial College London Applications for 2015 entry are now open. Imperial College Business School operates a number of application deadlines throughout the year. For more information please see their website. Most other postgraduate courses do not have a published formal closing date, but you should be aware that popular courses close as they become full. Please therefore ensure that you make your application for these courses as early as possible, particularly if you are intending to apply for funding, and preferably by 30 July (overseas/EU applicants) or 1 September (UK applicants) to avoid disappointment. If you are planning to apply for College funding, you need to be aware of the various closing dates for College awards.

Notepad++: A guide to using regular expressions and extended search mode The information in this post details how to clean up DMDX .zil files, allowing for easy importing into Excel. However, the explanations following each Find/Replace term will benefit anyone looking to understand how to use Notepad++ extended search mode and regular expressions. If you are specifically looking for multiline regular expressions, look at this post. You may already know that I am a big fan of Notepad++. Apparently, a lot of other people are interested in Notepad++ too. My introductory post on Notepad++ is the most popular post on my speechblog. Airfare tips: cutting the price of travel in half In the past year I have flown 20 times: from North America to Europe, the Middle-East and North Africa, to Asia and back. Now that I look at my receipts, I see that I spent under $1,500 for all of my tickets. A combination of credit card and airline miles, techniques for finding cheap airfare, and timing when booking flights helped me reduce my total costs by half.

Collaborative Filtering : Implementation with Python! - Artificial Intelligence in Motion Continuing the recommendation engines articles series, in this article i'm going to present an implementation of the collaborative filtering algorithm (CF), that filters information for a user based on a collection of user profiles. Users having similar profiles may share similar interests. For a user, information can be filtered in/out regarding to the behaviors of his or her similar users. Users profiles can be collected either explicitly or implicitly. One can explicitly ask users to rate what they have used/purchased. Such a profile is filled explicitly by the user ratings.

Sentiment Symposium Tutorial: Vector-space models Overview This section introduces some basic techniques from the study of vector-space models. In the present setting, the guiding idea behind such models is that important aspects of a word's meanings are latent in its distribution, that is, in its patterns of co-occurrence with other words. I focus on word–word matrices, rather than the more familiar and widely used word–document matrices of information retrieval and much of computational semantics. The reason for this is simply that, on the data I was experimenting with, this design seemed to be delivering better results with fewer resources. Turney and Pantel 2010 is a highly readable introduction to vector-space models, covering a wide variety of different design choices and applications.

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