1 | | = Welcome to Trac |
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| 1 | = Programming in Python (for quantitative biologists) |
40 | | For a complete list of local wiki pages, see TitleIndex. |
| 14 | == A.A. 2020/21 |
| 15 | |
| 16 | The course will start in March 2021. If pandemic restrictions persist, lectures will be mainly streamed via [https://youtube.com YouTube] (with synchronous interaction with the instructors); streamed videos will be available until the conclusion of the course. Some lesson could be registered in asynchronous form. Laboratory exercises will conducted autonomously by the students and special synchronous feedback sessions will be organized. |
| 17 | |
| 18 | |
| 19 | === Syllabus |
| 20 | |
| 21 | * The Python programming language. |
| 22 | * Native data types. |
| 23 | * Functions, selections and iterations. |
| 24 | * Basic data structures: lists, tuples, dictionaries. |
| 25 | * Object-oriented encapsulation. |
| 26 | * Iterators and generators. |
| 27 | * Files. |
| 28 | * Numpy multi-dimensional arrays and matrices. |
| 29 | * Data manipulation and analysis with pandas. |
| 30 | |
| 31 | Any Python3 book can be used to support the learning of the general part, for example [https://link-springer-com.pros.lib.unimi.it/book/10.1007%2F978-3-030-20290-3 J. Hunt "A Beginners Guide to Python 3 Programming"] (The electronic version is free for Unimi students). [https://numpy.org/ NumPy] and [https://pandas.pydata.org/ pandas] have excellent online documentation. |
| 32 | |
| 33 | The examination is based on laboratory exercises. A final mark (on a 30 point scale) is given, by taking into account the knowledge of the subject and tools, and the clarity of the solutions. |
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