Implementing Regular Expressions Russ Coxrsc@swtch.com This page collects resources about implementing regular expression search efficiently. Articles and Notes “Regular Expression Matching Can Be Simple And Fast” “Regular Expression Matching: the Virtual Machine Approach” An introduction to submatch tracking during efficient (non-backtracking) NFA-based regular expression matching. Supporting programs: “Regular Expression Matching in the Wild” “Regular Expression Matching with a Trigram Index” “IBM 7094 Cheat Sheet” If you want to read Ken Thompson's original 1968 paper (see below), you'll want to take this with you. “Regular Expressions: Languages, Algorithms, and Software” by Brian W. The cleanest, simplest, backtracking implementation you'll ever see. See also Chapter 9 of The Practice of Programming and Chapter 1 of Beautiful Code. Efficient Implementations RE2 regular expression library Efficient automaton-based implementation of Perl-syntax regular expressions (excluding backreferences). M.
IBM_InfoSphere (IBM_InfoSphere) Protocol for Implementing Open Access Data Status of this Memo This memo provides information for the Internet community interested in distributing data or databases under an “open access” structure. There are several definitions of “open” and “open access” on the Internet, including the Open Knowledge Definition and the Budapest Declaration on Open Access; the protocol laid out herein is intended to conform to the Open Knowledge Definition and extend the ideas of the Budapest Declaration to data and databases. This memo does not specify an Internet standard of any kind, but does specify the requirements for gaining and using the Science Commons Open Access Data Mark and metadata, by using legal tools and norms that conform to the protocol specified. The terms MUST, MUST NOT, and SHOULD are used herein as defined in RFC 2119 (“Key words for use in RFCs to Indicate Requirement Levels”). 1. The motivation behind this memorandum is interoperability of scientific data. 1.2. 2. 3. 4. 5. 5.1 Category errors 5.2 False expectations 6.
OpenClassroom Full courses. Short Videos. Free for everyone. Learn the fundamentals of human-computer interaction and design thinking, with an emphasis on mobile web applications. A practical introduction to Unix and command line utilities with a focus on Linux. Introduction to fundamental techniques for designing and analyzing algorithms, including asymptotic analysis; divide-and-conquer algorithms and recurrences; greedy algorithms; data structures; dynamic programming; graph algorithms; and randomized algorithms. Database design and the use of database management systems (DBMS) for applications. Machine learning algorithms that learn feature representations from unlabeled data, including sparse coding, autoencoders, RBMs, DBNs. Introduction to discrete probability, including probability mass functions, and standard distributions such as the Bernoulli, Binomial, Poisson distributions. Introduction to applied machine learning. This is a course created to test the website.
New Flashbook: DB2 10.5 with BLU Acceleration New Dynamic In-Memory Analytics for the Era of Big Data (Build your Skill on IM products, including DB2: books, certifications, tutorials, and more) The chapter focused on BLU Acceleration was released in the spring, but now available is the full book that is nearly 200 pages in length! Learn about the new software that was released this year and continually gets touted as “game-changing”. Title: DB2 10.5 with BLU Acceleration - New Dynamic In-Memory Analytics for the Era of Big Data Authors: Paul Zikopoulos, Matthew Huras, George Baklarz, Sam Lightstone, Aamer Sachedina Technical editor: Roman B. Coverage includes: Speed of Thought Analytics with new BLU Acceleration Always Available Transactions with enhanced pureScale reliability Unprecedented Affordability with optimization for SAP workloads Future Proof Versatility with business grade NoSQL and mobile database for greater application flexibility About the book: If big data is an untapped natural resource, how can you find the gold dust hidden within? Stay updated on newly available Information Management resources by visiting ibm.com/db2/luw/.
Open-data Cities Conference2012 I wrote this column for The Argus newspaper after the conference: More than 150 people attended the Open-data Cities Conference at Brighton Dome Corn Exchange. The conference, I hope, helped put Brighton and Hove at the forefront of an historic shift – fuelled by emerging internet technologies – that will transform the lives of millions of citizens in a global network of “networked” cities. So what is an open-data city? In simple terms, it is a city where democratically-accountable and publicly-funded organisations take the lead in the widespread release of data – with no licensing strings attached – that can be interpreted or manipulated by computers. As a result, such data can then be used to create innovative applications and services for the public good. To emphasise: open data is not about personal data relating to identifiable individuals. When I gave up my job to organise the conference, I was determined that it should not only generate discussion, but also inspire action.
Practice and Learn - Google Code Jam On this page you can see results and code from past rounds of Google Code Jam, and you can try the problems for yourself. If you're new to Code Jam, try following the Quick-Start Guide. Where should I start? If you're new to programming contests, we highly recommend starting with the least difficult problems and moving up from there as you get more confident. Beware: the round that has the easiest problem A may have a very difficult problem B! Here are some choice problems for new competitors: Africa 2010, Qualification Round: Store Credit, Reverse Words. Remember, if you get stuck you can look at someone else's solution (click a "solutions" link below) or join our mailing list and ask for help. Finding Solutions You can click a "solutions" link below, but those aren't really indexed in a helpful way. Google of Greater China Test for New Grads of 2014 Code Jam for Veterans 2013 Google Code Jam Korea 2012 Google Code Jam Japan 2011 Code Jam Africa and Arabia 2011 Google Code Jam Africa 2010
Return of the Borg: How Twitter Rebuilt Google's Secret Weapon | Wired Enterprise Illustration: Ross Patton John Wilkes says that joining Google was like swallowing the red pill in The Matrix. Four years ago, Wilkes knew Google only from the outside. He was among the millions whose daily lives so deeply depend on things like Google Search and Gmail and Google Maps. But then he joined the engineering team at the very heart of Google’s online empire, the team of big thinkers who design the fundamental hardware and software systems that drive each and every one of the company’s web services. These systems span a worldwide network of data centers, responding to billions of online requests with each passing second, and when Wilkes first saw them in action, he felt like Neo as he downs the red pill, leaves the virtual reality of the Matrix, and suddenly lays eyes on the vast network of machinery that actually runs the thing. “I’m an old guy. ‘I prefer to call it the system that will not be named.’ — John Wilkes The Borg moniker is only appropriate. — Ben Hindman
Impact » Food Security Open Data Challenge Last week, President Obama announced the G-8’s commitment to the “New Alliance for Food Security and Nutrition”, the next phase of the G-8’s shared commitment to achieving global food security and nutrition goals. One of the elements of this New Alliance is a focus on science, technology, and innovation including the importance of open and available food security data. The group also committed to convene an international conference on food security and Open Data for G-8 members and stakeholders to determine how to increase openness and access to data. Seizing on the commitment of the G-8, USAID convened six leading innovators to showcase mapping, videos, and other tools that use data for more effective development. Thin Air Nitrogen Solutions, fertilizer fixes nitrogen from the air, sidestepping the need for energy-intensive production and transportation infrastructure to get fertilizers to farmers’ fields. USAID’s Food Security Open Data Challenge includes three core events.