A new universal date/time parser facility was added by a recent
patch. It defines the new functions "string-to-universal-time" and
"universal-time-to-string". The first function takes a string
specifying a date and time in any of a variety of standard formats and
returns the corresponding universal time. The second function converts
a universal time to one of those formats. This new facility is
separate from the existing date-time module but integrated with
A new "for-as-in-sequence" subclause for the loop macro was added by
a recent patch. It allows iteration over either lists or simple,
general vectors. For example, the function foo defined below will take
either a list or a vector as an argument:
(defun foo (x)
(loop for y in-sequence x collect (1+ y)))
(foo '(1 2 3)) => (2 3 4)
(foo #(1 2 3)) => (2 3 4)
Without this extension, foo would have to make separate loop calls with lists and vectors. Note the extension has some restrictions.
See the documentation here for further details.
The Association of Lisp Users is pleased to announce the 2014 International Lisp Conference will be held in Montreal, Canada at Universite de Montreal from August 15 to 17, 2014. This year's focus is directed towards integrated solutions and mobile computing.
The International Lisp Conference is a forum for the discussion of Lisp and, in particular, the design, implementation and application of any of the Lisp dialects. We encourage everyone interested in Lisp to participate.
This year's program consists of tutorials, an excellent technical session, and prominent invited speakers from the Lisp communities: Christian Queinnec (Universite Pierre et Marie Curie), Ambrose Bonnaise-Sergeant (Indiana University), Stefan Monnier (Universite de Montreal) and Marc Battyani (Fractal Concept).
For additional conference infomation, see here.
We send probes into the topic hypercube bounded by machine learning, parallelism, software and contests, demonstrate existing and sketch future Lisp infrastructure, pin the future and foreign arrays down. We take a seemingly random walk along the different paths, watch the scenery of pairwise interactions unfold and piece a puzzle together. In the purely speculative thread, we compare models of parallel computation, keeping an eye on their applicability and lisp support. In the the Python and R envy thread, we detail why lisp could be a better vehicle for scientific programming and how high performance computing is eroding lisp's largely unrealized competitive advantages. Switching to constructive mode, a basic data structure is proposed as a first step.
To view the video, see here
A frequent question for Semantic Technology vendors: "Why use an RDF triplestore, why not a general Graph database or some other NoSQL option?" This presentation discusses the criteria for selecting the appropriate database for your application.
With the surge in interest around "Graph" technologies there is a need for understanding the tradeoffs for various Graph based technologies. There is a whole set of use cases where Graph technologies make the most sense for application success. This presentation will explore the technical and business reasons to consider a Graph Database, RDF Database, or hybrid Graph/NoSQL. We will discuss a set of real world applications for Graph technologies and explore a number of criteria to consider for proper database selection, a few are noted below:
To register for this webinar, see https://www2.gotomeeting.com/register/147446290
Most Enterprises have collected large bodies of data that describe interactions between their customers. Consider the graph of claims and policies for an insurance provider, telephone calls and SMS for a Telco, and links between payments by customers of financial institutions. Graph databases can be used to mine these social interactions to better understand customer patterns and opportunities.
Relational databases are fundamentally unfit to explore the graph within a social network and Big Data solutions (Hadoop, etc) are usually not meant to work with sparse graphs. The mature capabilities of Graph Databases have made them the optimal approach to mine these social networks.
During this presentation, we will discuss applications of graph mining to show the relationships discovered through "Similarity" and "Social" graphs.
To register for this webinar, see https://www2.gotomeeting.com/register/252265562
New Features include:
New features include:
See the full list of new features and improvements in the release notes.
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