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February 12, 2020
On this day in 1947, an iron meteorite struck the Earth in the Sikhote-Alin region. It was the largest observed iron meteorite at the time, and made (ahem) quite an impact.
Terrible puns aside, you can make a huge impact yourself—without resorting to big iron. Pick up a copy of our latest title, Build Websites with Hugo. Rediscover for yourself how much fun web development can be with Hugo, a static site generator and web framework. See how easy it is to build a rock-solid, no-moving-parts website. Get started today at pragprog.com/book/bhhugo.
Also this week, our friends at Grox.io have a new entry on graphs using Prolog. Read on for details.
/\ndy
Build Websites with Hugo
Database-driven sites bring complexity you might not need, but building a site by hand is too much work. Hugo is a static site generator and web development framework that creates content sites quickly without the overhead or dependencies of a dynamic web framework. With Hugo, you use HTML templates and Markdown to build static sites you can host anywhere, letting you use the skills you already have.
Develop your own theme using standard HTML and CSS, and Hugo's powerful templating features to organize your site's components. Create your site's content with HTML or Markdown and use Hugo's content templating features to build new content quickly. Build a fully-featured blog with archive pages, tagging, and pagination, and integrate an external commenting system to provide interactivity. Use data from front-matter, site-wide configuration, and external JSON sources to add content, and generate JSON others can use. Integrate JavaScript with your site to create a search engine. Get Hugo working with Webpack so you can leverage the wider web development ecosystem, and explore ways to publish your site to various services. Finally, learn how you can move your existing content site to Hugo.
Dive in and build your next site with Hugo!
Now available in beta from pragprog.com/book/bhhugo.
Programmer Passport: Prolog
Graphs represent the concept of connection. In math, graphs are collections of nodes (also called vertices) and the connections, called edges, between them. A node might be a city on a map or a person in a social network. An edge might be the route between two subway stations, or a follows relationship in social media.
Representing connections is important, but what makes graph theory so powerful are the analysis tools a knowledgeable programmer can bring to bear. Think of it this way: Knowing all of the airports a carrier uses is interesting. Knowing the data about the flights between them is infinitely more important. Scheduling flights to minimize fuel costs and maximize customer load is the difference between profitability and bankruptcy.
Prolog is the ideal language for dealing with graphs because the database works that way. You can often think of a Prolog fact as an edge in a database. That makes it easy to envision what’s happening in a graph.
Curious? Subscribe to Grox.io's Programmer Passport at grox.io!
Upcoming Author Appearances2020-02-13 George Dinwiddie,
Agile Charm, Baltimore MD
2020-02-18 Paolo Perrotta,
ParisRB Conf 2020, Paris
2020-02-20 Craig Walls,
DevNexus
2020-02-21 Diana Larsen,
Portland, Oregon, USA
2020-02-24 Ethan Garofolo,
O'Reilly Software Architecture Conference, New York City
2020-02-28 Craig Walls,
Greater Wisconsin Software Symposium (NFJS)
2020-02-29 Stephen Bussey,
Lone Star Elixir in Austin, Texas
2020-03-03 James Stanier,
QCon London
2020-03-04 Randall Koutnik,
QCon London
2020-03-05 Stephen Bussey,
Code BEAM SF
2020-03-06 Craig Walls,
Twin Cities Software Symposium (NFJS)
2020-03-09 Cesario Ramos,
"A Scrum Book" Course by Jim Coplien
2020-03-12 Jon Reid,
Advanced TDD with Swift, Linz, Austria
2020-03-13 Craig Walls,
New England Software Symposium (NFJS)
2020-03-16 Jon Reid,
TDD for iOS Workshop, Amsterdam, Netherlands
2020-03-24 Venkat Subramaniam,
dev.next, Broomfield, Colorado
2020-03-24 Diana Larsen,
Broomfield, Colorado USA
2020-03-24 Diana Larsen,
Broomfield, Colorado, USA
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