New York University 3 credits Data Science
This course explores advanced techniques to enhance the performance and scalability of Python programs. Key topics include parallel computing, GPU acceleration, and big data processing using industry-standard frameworks such as Apache Hadoop and Apache Spark. Emphasizing practical application, students will gain hands-on experience developing high-performance Python solutions to real-world problems. The course adopts a student-centered, active learning approach. Each session typically begins with a concise overview of new programming concepts, followed by guided, hands-on coding exercises designed to reinforce and apply those techniques in practice.
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