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By October 2014, about forty million students had taken the Hour of Code class, [40] and a second Hour of Code was held in December 2014. [41] That year, locations for Hour of Code lessons included Apple retail stores. [42] In December 2016, Canadian Prime Minister Justin Trudeau helped launch the international Hour of Code campaign for 2016. [43]
Code.org launched the "Hour of Code" campaign in December, with endorsements from Barack Obama, actor/businessman Ashton Kutcher and singer Shakira, which featured workshops at the Apple and Microsoft campuses and asked school teachers to devote an hour of class time to programming education. [22]
On December 6, 2013 (the start of the Hour of Code), [4] MIT released App Inventor 2, renaming the original version "App Inventor Classic" [5] Major differences are: The blocks editor in the original version ran in a separate Java process, using the Open Blocks Java library for creating visual blocks programming languages and programming
Schweitzer Engineering Laboratories (SEL) visited the school to hold its third annual daylong Hour of Code. Students from grades 1-6 created their own animations and mini-games in a program ...
Computer programming is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. [1] [2] It involves designing and implementing algorithms, step-by-step specifications of procedures, by writing code in one or more programming languages.
Organizations like Code.org and initiatives like the Hour of Code, and massive open online courses (MOOCs) have played a significant role in promoting computer science education and making coding accessible to students worldwide; especially making a difference for women, underprivileged and underrepresented communities. These online learning ...
Using lines of code to compare a 10,000-line project to a 100,000-line project is far more useful than when comparing a 20,000-line project with a 21,000-line project. While it is debatable exactly how to measure lines of code, discrepancies of an order of magnitude can be clear indicators of software complexity or man-hours.
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