509 7th Street NW, 3rd Floor
Washington D.C. 20004
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Python is a versatile and widely-used programming language with many applications. This workshop series explores Python's place in the scientific ecosystem, and how the language, with several readily-available open-source libraries, can serve as a powerful tool for data analysis.
Designed as a stand-alone crash course to Python programming, this class is also a recommended refresher for students planning to enrol in General Assembly's upcoming Data Science immersive course. The course is hands-on and exercise based, so students will get plenty of practice.
Lunch provided, including vegetarian options. Please email any dietary requirements to firstname.lastname@example.org at least 48 hours before class commences.
Good things come to those who learn - GA. Students who take this workshop and then subsequently enrol in GA's Data Science Immersive or part-time course will receive a tuition credit towards the course equal to what they paid for this workshop.
General technical savvy, and comfort with computers Some prior experience with use of computers for analysis or repetitive tasks – such as Excel Installation of Anaconda for Python 3.6, which is a free distribution of python that includes libraries of open source python tools (http://continuum.io/downloads). Set-up an account on Kaggle.com
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