Software engineering includes front-end languages like HTML, CSS, Javascript, and jQuery to give style and interactivity to websites, as well as back-end languages like Python, Ruby, and Node.js to program behind-the-scenes functionality of websites.
HTML, CSS, JavaScript, MVC Frameworks, jQuery, React.js, Bootstrap, Python, Ruby, Rails, Docker, MySQL, Django
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This intermediate-level course provides an introduction to classes and objects. Objects and Object Oriented Programming are at the heart of the way Python works. Understanding these concepts is essential to becoming anything more than a beginner in programming Python.
Topics to Be Covered: Classes, Objects, Intermediate Programming in Python
Recommended Pre-Requisite:
Intro to Python
Date & Time:
1/24/2017 1:00 - 4:00PM ET
Instructor:
General Assembly
Software Needed:
Python
Directions from within HCHB
The Commerce Research Library has two entrances and is located in northwest corner of the building on the 1st floor, directly below the gym. The entrance at Room 1894 can be accessed via the 8th corridor elevator at the north end of the building. The second entrance at Room 1984 and can be accessed from the 6th corridor elevator.Directions from outside of HCHB (DOC staff only)
HCHB is located at 1401 Constitution Avenue, NW and is easily accessible from two metro stations, Federal Triangle & Metro Center. The closest entrance to the library is on the corner of 14th & Pennsylvania Ave. Check in at that entrance with the guards, then follow the red signs to the Commerce Research Library. Questions? Call us at 202-482-1154. Bringing a visitor? See full directions on our website.The Commerce Data Service is a public startup within the Office of the Secretary, tasked with enhancing the contribution of data to the economy and American well-being. Our team of skilled engineers, data scientists, and UX/UI experts are teaching Commerce Data Academy courses.
The goal of the Commerce Data Academy is to help educate and empower employees within the Department of Commerce to make data-driven decisions.
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