Teaching GuideTerm Faculty of Computer Science |
Grao en Ciencia e Enxeñaría de Datos |
Subjects |
Fundamentals of Programming II |
Sources of information |
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Identifying Data | 2021/22 | |||||||||||||
Subject | Fundamentals of Programming II | Code | 614G02009 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Graduate | 2nd four-month period |
First | Basic training | 6 | ||||||||||
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Basic |
Michael T. Goodrich, Roberto Tamassia, Michael H. Goldwasser (2013). Data Structures and Algorithms in Python. John Wiley & Sons Kenneth A. Lambert (2013). Fundamentals of Python: Data Structures. Course Technology |
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Complementary |
Bradley N. Miller, David L. Ranum (2013). Problem Solving with Algorithms and Data Structures using Python. Franklin, Beedle & Associates Benjamin Baka (2017). Python Data Structures and Algorithms: Improve application performance with graphs, stacks, and queues. Packt Publishing |
Sitio web da contorna de desenvolvemento Spyder: https://www.spyder-ide.org/ Sitio web da plataforma para ciencia de datos Anaconda: https://www.anaconda.com/ Libro de Miller & Ranum: https://runestone.academy/runestone/static/pythonds/index.html |
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