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1000daysofpython

git hub demo

2014_fall_astr599

Content for my Astronomy 599 / Applied Math 500 Course: Intro to scientific computing in Python

acousticanalyzer

Tool to analyze acoustic data from the laboratory.

arcgisapi

astropy

Repository for the Astropy core package

basiclinearalgebratoolspurepy

Basic Linear Algebra Tools in Pure Python without Numpy or Scipy

basics-of-gee

This tutorial includes short and minimalistic few example codes covering fundamentals of Google Earth Engine with JavaScript.

bayesmadesimple

Code for a tutorial on Bayesian Statistics by Allen Downey.

beamform

Scripts for beamforming seismic data

beamforming

codes for beamforming

beamforming-1

Codes used to beamform with a horizontal line array

btm

Benthic Terrain Modeler

coffee

Mutlibeam Sonar data processing toolbox in Matlab

datumspreadsheets

Excel spreadsheets to assist with data transformation, conversion and geodetic computations

doppler-gestures-py

Sonar Doppler-Effect based Gestures in Python. Work in process

drivers-mbeam_imagenex

Driver for Imagenex Multibeam Sonar

dynadjust

Least squares adjustment software

earthml

Tools for working with machine learning in earth science

family-genealogy-database

Data model, SQL, and supporting materials for a personal Family Genealogy Database implemented with PostgreSQL

geodepy

A toolkit for Geodesy and Surveying in Python

geodesy

Libraries of geodesy functions implemented in JavaScript

geopandas-tutorial

Tutorial on geospatial data manipulation with Python

geopandas-tutorial-1

A basic notebook-based tutorial for using the geopandas, shapely, and fiona python libraries

geopandas-tutorial-2

Learn to generate maps using geopandas with this collection of jupyter notebooks

geopandas-tutorial-maptime

github_toturial

hướng dẫn sử dụng github

gnss-sdrlib

An Open Source GNSS Software Defined Radio Library

icp

3D Point Cloud registration using ICP

introduction-to-python-numerical-analysis-for-engineers-and-scientist

Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, plotting, and more to prepare students for solving numerical problems with Python.

iocs

designed for doing exponential regression on TSM concentration in images.