Description

Python is a  powerful programming language; its simplicity is remarkable compared to other programming languages and its power is based on the number of tools available for different areas of study. In hydrology, Python has different packages which are linked to mathematics, statistics, etc.

This course develops the basic concepts of Python programming under Jupyter. Exercises will cover the basic Python data structures, conditional statements, loops coupled with an introduction to array manipulation in Numpy, tabular data management with Pandas and applied exercises with precipitation data.

Objectives

In this course the student will learn:

• The Python environment.
• The different packages of data analysis in Python.
• Analyze and plot hydrological data with Python.

 

Trainer

Saul Montoya M.Sc.

Saul Montoya M.Sc. is a 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.

Over the last 9 years Saul has developed 2 websites for knowledge sharing in water resources: www.gidahatari.com (Spanish) and www.hatarilabs.com (English) that have become relevant due to its applied tutorials on groundwater modeling, spatial analysis and computational fluid mec