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 is focused on how to use the different packages related to numerical tools, data analysis, representation of graphs, and others. Many of these tools are applicable to the field of Hydrology in the preparation of data for hydrological models, statistical analysis of hydrological parameters and model result representation.

Python is a very versatile programming language that can be used to process data in a rather easy way and this course will give you the hints and examples on how to use Python in Hydrology which make it a useful language to improve hydrological evaluations.

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.

Course content

Session 1: Anaconda interface

Basic concepts of the Anaconda distribution
Jupyter Lab tools
Interaction with the operating system
Advanced features

Session 2: Python

Lexical and syntax analysis
Types and objects (strings, list, tuples and dictionaries)
Expressions and operators
Conditions, iterations and functions

Session 3: Scientific computing

Numpy for numerical calculations
Matplotlib for plotting
Scipy for scientific computing

Session 4: Pandas

Filtering temporal series
Columns and rows manipulation
Pandas calculations and groups
Exporting data

Session 5: Precipitation data manipulation

Historical analysis of precipitation
Streamflow – rainfall relationship
Precipitation based calculations

Session 6: Statistics I

Regression analysis for rainfall
Statistical distributions for precipitation
Determining returning periods for rainfall

Session 7: Statistics II

Interpolation of data
Autocorrelation
Uncertainty intervals
Multivariate frequency distributions

Session 8: Filling missing precipitation data

Simple AA
Multiple linear regressions
Neural networks

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 mechanics.

Methodology

Here are some details of each methodology:

Manuals and files for the exercises will be delivered.
The course will be developed by videos on private web platform.
There is online support for questions regarding the exercises developed in the course.
Digital certificate available at the end of the course.
Video of the classes will be available for 2 months.
To receive the digital certificate you must submit the exercises after 1 month.

Cost and payment

The cost of the course is $ 220 dollars.

This online course will be given on out elearning platform: elearning.hatarilabs.com . You will need to create an account to payment by Paypal and automatically you will register for the course.

For any other information please write to: saulmontoya@hatarilabs.com