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01_python_introduction

Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.

02_python_datatypes

Data types specify the different sizes and values that can be stored in the variable. For example, Python stores numbers, strings, and a list of values using different data types. Learn different types of Python data types along with their respective in-built functions and methods.

03_python_flow_control

Flow control is the order in which statements or blocks of code are executed at runtime based on a condition. Learn Conditional statements, Iterative statements, and Transfer statements

04_python_functions

The function is a block of code defined with a name. We use functions whenever we need to perform the same task multiple times without writing the same code again. It can take arguments and returns the value.

05_python_files

Python too supports file handling and allows users to handle files i.e., to read and write files, along with many other file handling options, to operate on files. The concept of file handling has stretched over various other languages, but the implementation is either complicated or lengthy, but like other concepts of Python, this concept here is

06_python_object_class

Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, you’ll learn the basics of object-oriented programming in Python.

07_python_advanced_topics

You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.

08_python_date_time_module

Time is undoubtedly the most critical factor in every aspect of life. Therefore, it becomes very essential to record and track this component. In Python, date and time can be tracked through its built-in libraries. This article on Date and time in Python will help you understand how to find and modify the dates and time using the time and datetime

09_python_numpy_module

Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays. It is the fundamental package for scientific computing with Python. Besides its obvious scientific uses, Numpy can also be used as an efficient multi-dimensional container of generic data.

10_python_pandas_module

Pandas is a high-level data manipulation tool developed by Wes McKinney. It is built on the Numpy package and its key data structure is called the DataFrame. DataFrames allow you to store and manipulate tabular data in rows of observations and columns of variables.

11_python_matplotlib_module

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. It was introduced by John Hunter in the year 2002. One of the greatest benefits of visualization is that it allows us visual access to hug

12_python_seaborn_module

Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk throug

2d3d-ti-fd-rtm-cuda

This is an open source program based on NVIDIA cuda, which includes two-dimensional and three-dimensional VTI media forward simulation and reverse time migration imaging, two-dimensional TTI media reverse time migration imaging, and ADCIGs extraction of the above media]

2d_and_3d_elastic_reverse_time_migration

2D and 3D elastic reverse time migration using wavefield decomposition and vector-based excitation amplitude imaging condition.

anibox

number of routines to generate and analyse synthetic gathers for HTI media. Ruger's equation is used.

array_processing

Various array processing tools for infrasound and seismic data

awesome-earth-artificial-intelligence

A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.

awesome-open-geoscience

Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

birgit

Pre- and Postprocessing tools for full waveform inversion

bruges

Bag of really useful geoscience equations and stuff

deep_prior_interpolation

Interpolation of seismic data through Deep Priors

denise-black-edition

2D time-domain isotropic (visco)elastic FD modeling and full waveform inversion (FWI) code for P/SV-waves

devito

DSL and compiler framework for automated finite-differences and stencil computation

differential-equations-earth-system

Course material for the lecture "Differential equations in the earth system" (WS 2019/2020) @ CAU Kiel

earthscience-

easymig

Simple Kirchhoff migration in a homogeneous media

eikonal-tutorial

A simple realization of eikonal equation

faultseg

Using synthetic datasets to train an end-to-end CNN for 3D fault segmentation (We are working on an improved version!)

gostin

Geoscience Open Source Tie-In

handson-ml

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.