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Future of Programming - What every aspiring coder needs to know

In the beginning, coders worked in absolute binary, a tedious and error-prone process.

In 1949 when the Assembler language first appeared, followed by Fortran (1955) and Cobol (1959), old time programmers of the day thought these new languages were for sissies.

In the 1960s we saw a move towards object-oriented programming where “objects” with data fields (attributes that describe the object) are tied to associated procedures known as “methods.”

Over time the number of languages began to proliferate – Pascal (1970), C (1972 and later changed to C++ in 1980), Objective-C (1986), and Perl (1987).

With the proliferation of the Internet in the 1990s, languages adapted to the online world and new languages began to appear – Haskell (1990), Python (1991), Ruby (1993), Java (1995), Javascript (1995), and PHP (1995).

Along with the introduction of smartphones and tablets came another transition that began with new operating systems like Google’s Android (2005) and Apple’s iOS (2007).

So where do we go from here? Will Google Glass and Apple’s watch lead us into the next generation of wearable technology, and how will programming change as a result of that? How will the massive expansion of both structure and unstructured data affect how coders do their work?

Join us as we explore both the future of programming technology and the overarching philosophies and theories guiding this constantly emerging field.

EVENT: Future of Programming
DATE: September 9, 2013 - Monday
TIME: 6:30pm-8:30pm
WEBSITE: http://www.davinciinstitute.com/events/664/the-future-of-programming-monday-september--9-2013

LOCATION: DaVinci Institute, 511 E. South Boulder Road, Louisville, CO 80027 
DIRECTIONS: Driving Directions

COST: $0, Members: Free, SuperMembers: Free
REGISTER: Register here

PHONE:[masked]

TOPIC: What every aspiring coder needs to know
SPEAKERS:

• Kevin Weller, Software Architect and Web Developer

• Peter Jones, Senior Instructor, Author, and Founder of Devalot

• Ryan Elmore, Computational Statistician

 

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