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Programming in Python (for quantitative biologists) ¶
Learning objectives and expected learning outcomes ¶
The course introduces students to imperative programming by referring to the Python language.
The course is divided in two parts:
- Python and its object-oriented features;
- Python libraries that can be useful in scientific computation and data analysis, in particular NumPy and pandas.
Students will acquire the ability to write and tune a program that automatizes simple computational tasks; they will be able to understand how a small piece of Python code works, to find the reasons of a malfunction and to correct it appropriately. Moreover, students will be able to use the NumPy and pandas library to analyze tabular data.
A.A. 2022/23 ¶
The course will take place in the first semester. Currently, we expect to lecture on-premises, lectures will NOT be also streamed. You can find some videos from last year course in the 2020/21 web page linked below.
Lessons Rooms Farina (Tu), G15 (Th) (40h) | Th_6/10 Tu_11/10 Th_13/10 | Tu_18/10 Th_20/10 | Tu_25/10 Th_27/10 | Th_3/11 Tu_8/11 Th_10/11 Tu_15/11 | Tu_22/11 Th_24/11 Tu_29/11 | Tu_6/12 Tu_13/12 Th_15/12 | Tu_20/12 Tu_10/1 Th_12/1 | ||
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Labs, Room Delta (16h) | Fr_14/10 | Fr_21/10 | Fr_4/11 | Fr_18/11 | Fr_2/12 | Fr_9/12 Fr_16/12 | Fr_13/1 | ||
Setup | Scaffolded | Plain Python interpreter | Notebooks |
Syllabus ¶
- The Python programming language.
- Native data types.
- Functions, selections and iterations.
- Basic data structures: lists, tuples, dictionaries.
- Object-oriented encapsulation.
- Iterators and generators.
- Files.
- Numpy multi-dimensional arrays and matrices.
- Data manipulation and analysis with pandas.
Any Python3 book can be used to support the learning of the general part, for example J. Hunt "A Beginners Guide to Python 3 Programming" (The electronic version is free for Unimi students). NumPy and pandas have excellent online documentation.
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.