Learning Python for Modelling

Version 1.0.0

Sat Kumar Tomer

History:

0.0.0: First edition of Python in Hydrology in November, 2011.
0.1.0: Added sections on variogram analysis, Kriging, bias correction, and calling external commands from Python in January, 2012.
0.2.0: Fully edited the book in June, 2013.
1.0.0: Updated and moved the book to Google Colab in September, 2022.

The book was originally in the form of a LATEX source code. Current version of the book is written in Google Colab. The latest source code for the book is available from https://github.com/tomersk/learn-python

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Learning Python for Modelling

Table of Contents

Preface

1. Getting Started

1.1. Why Python? Watch on Youtube

1.2. Python Installation

1.3. Install additional packages

1.4. Interactive Development Environment

1.5. Execute the program

1.6. Type of errors

1.7. The first program

2. A bit of Python

2.1. Data type

2.2. Data structures

2.3. Choosing the name of variable

2.4. Operators and operands

2.5. Expressions

2.6. Control Flow

2.7. Function

2.8. Plotting

3. Array and dataframe

3.1. Generating sequential arrays

3.2. Useful attributes and methods

3.3. Indexing

3.4. Array Manipulation

3.5. Dataframe

4. Basic applications of Python

4.1. Introduction

4.2. Water Vapor

4.3. Terminal velocity of precipitation

4.4. Rainfall

4.5. Evaporation

4.6. Infiltration

4.7. Surface water

4.8. River Routing–Muskingum method

4.9. Delta T

4.10 Unit Hydrograph

5. Statistics

5.1. Empirical distributions

5.2. Theoretical distributions

5.3. The t-test

5.4. KS test

5.5. The chi square test

5.6. Measure of statistical dependence

5.7. Linear regression

5.8. Polynomial regression

5.9. Interpolation

5.10. Autocorrelation

5.11. Uncertainty Intervals

5.12. Non parameteric trend and slope

6. Spatial Data

6.1. Types of spatial data

6.2. Geoinformation

6.3. Writing Raster

6.4. Writing Vector

6.5. Reading the raster

6.6. Read the vector

6.7. Filtering

6.8. NDVI

6.9. Raster and Vector operations

6.10. Clustering

7. Plotting

7.1. Date axis

7.2. Bar charts

7.3. Pie charts

7.4. 2D plots

7.5. 3 D plots

7.6. Box-plot

7.7. Q-Q plot

7.8. plotyy

7.9. Annotation

7.10. [Basemap]

7.11. Shared axis

7.12. Subplot

Packages