Are you interested in applying the diverse tools of Python for water resources but your Python capabilities are limited or inexistent? Take advantage of this free and open webinar that will introduce you to the main tools and procedures of powerful Python libraries for scientific computing applied to water resources related data. The webinar will give an overview of Python with Scipy, Matplotlib and Numpy with applied exercises of temperature and precipitation data visualization and analysis.
Content
The webinar will cover the following topics:
Introduction to Numpy and numpy arrays.
Data visualization with Matplotlib.
Numerical tools in scipy.
Applied exercises of temperature and precipitation data.
Instructor
Saul Montoya M.Sc.
Hydrogeologist and Numerical Modeler.
Mr. Montoya is a Civil Engineer graduated from the Catholic University in Lima with postgraduate studies in Management and Engineering of Water Resources (WAREM Program) from Stuttgart University – Germany with mention in Groundwater Engineering and Hydroinformatics. Mr Montoya has a strong analytical capacity for the interpretation, conceptualization and modeling of the surface and underground water cycle and their interaction.
He is in charge of numerical modeling for contaminant transport and remediation systems of contaminated sites. Inside his hydrological and hydrogeological investigations Mr. Montoya has developed a holistic comprehension of the water cycle, understanding and quantifying the main hydrological dynamic process of precipitation, runoff, evaporation and recharge to the groundwater system.
Date and time
Tuesday October 27, 2020 from 6:00 to 8:15 pm. Amsterdam Time
Estimated duration: 2:15h.
Registration
This webinar will be given on out elearning platform: elearning.hatarilabs.com . You will need to create an account first and sign up for the course.
The webinar is free of charge. Please follow the instructions on this video with the registration procedure.
