Danilo A. Silva's repositories
marineHeatWaves
marineHeatWaves is a module for python which implements the Marine Heatwave (MHW) definition of Hobday et al. (2016, Prog Ocean).
ATOC7500ObjectiveDataAnalysis
This github repo contains code used for ATOC7500 Objective Data Analysis in Spring 2019. Please check updates for 2020 - They will appear as the semester goes on: https://github.com/jenkayco/ATOC7500ObjectiveDataAnalysis_Fall2020
ecco_budg_anom
Anomaly budget analysis with ECCO
hands-on-examples
A series of Jupyter notebooks that walk you through the fundamentals of Python, Scientific Computing and Visualization, Machine Learning in Python, etc.
intro_to_physical_oceanography
Course materials for Introduction to Introduction to Physical Oceanography (EESC4925)
Machine-Learning-Numpy
Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!
matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
natural-earth-vector
A global, public domain map dataset available at three scales and featuring tightly integrated vector and raster data.
Python-Practical-Application-on-Climate-Variability-Studies
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
Python4DataScience_MachineLearning_Bootcamp
Curso da Udemy: "Python for Data Science and Machine Learning Bootcamp"
PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
SkillMetrics
A Python library for calculating and displaying the skill of model predictions against observations.
statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"