The lab is almost half of the class. According to the motto "learning by doing" it covers at least three numerical experiments:
- Some elaborations with time series
- The estimation of the Intensity-Duration-Frequency curves
- A few experiments with infiltration
- A few experiments with evaporation and transpiration
Please find below
- The general Vimeo Showcase
- The general OSF repository for the lab
Videos and material are indicated singularly below.
2023-03-04 Introduction to working with Jupyter and Notebooks
- A little introduction to Jupyter Notebook by Concetta D'Amato (YouTube2020, Data).
- A little of introduction
- Elementary operations
- Vimeo2024 part1
- Vimeo2024 part2
- Reading a CSV file with PANDAS
- The Class Notebook I
- Vimeo2024
- Pluviometria Paperopoli
- Notebook
- Vimeo2023, Vimeo2022, Vimeo2021, YouTubeLive 2019, YouTubeVideo2020
- Reading an Excel File
- The Class Notebook II
- (Vimeo2024, Vimeo 2023)
- Data
- Notebook
2024-03-12
- Reading a timeseries of daily rainfall organized in a Table whose rows contains the days and columns different years
- Data (Daily Precipitation od San Martino di Castrozza from 1921 to 1990)
- Notebooks:
- Same thing as above (Vimeo2022)
- Chat GPT use suggestions (Vimeo2024)
- Other ChatGPT suggestions (Vimeo2024)
- Grouping the data by year (Vimeo 2022)
- A better plot of the time series
- Monthly mean precipitation (Vimeo2022)
- Counting the events and producing their empirical statistics (Vimeo2022)
Interpolating the Gumbel distribution to annual precipitation maxima
- with using the mean and the variance (Notebook, Vimeo2024, Vimeo2023)
- with the maximum likelihood (Notebook, Vimeo2024, Vimeo2023)
- with the minimum square methods (Notebook, Vimeo2024, Vimeo2023)
- Il test di Pearson (Notebook, Vimeo2024, Vimeo 2023)
- Finally interpolating the curves (Notebook, Vimeo2024, Vimeo2023)
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