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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 workshop to Python programming, this class is also a recommended refresher for participants planning to enrol in General Assembly's upcoming part-time and full-time Data Science courses. The workshop is hands-on and exercise based, so participants will get plenty of practice.
Lunch provided, including vegetarian options.
Note: You will be given homework tasks to complete between the two sessions to ensure the best learning outcomes for this program.
General technical savvy, and comfort with computers.
Some prior experience with use of computers for analysis or repetitive tasks would be helpful.
Please install Anaconda for Python 3.7, which is a free distribution of python that includes libraries of open source python tools. (www.anaconda.com/download/#macos).
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