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silvag2's Projects

analyticalprojects icon analyticalprojects

A series of jupyter notebooks to help chemistry students learn python for analytical chemistry

cft-cran icon cft-cran

Staging for CRAN publication of the CFT package

ch4castr icon ch4castr

Code to Forecast CH4 ebullution rates in a small eutrophic reservoir

chemical-reaction-engineering-in-python icon chemical-reaction-engineering-in-python

This repository contains a practical course designed for chemical engineers that want to learn how to solve exercises and program in Python. The course will cover various topics, such as basic Python syntax, data structures, solving ODEs, stoichiometry, data visualization and basic data analysis.

chempy icon chempy

⚗ A package useful for chemistry written in Python

earth-obs-py icon earth-obs-py

This repo contains interactive code examples from the 2021 book "Earth Observation Using Python."

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

handson-ml3 icon handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

notebooks icon notebooks

Notebooks of papers from the SantanderMetGroup

phreeqpython icon phreeqpython

Object-oriented python wrapper for the VIPhreeqc module

practice-git-skillz icon practice-git-skillz

This repository is an example repository for homework submissions for Earth Analytics courses.

pycascades icon pycascades

Python framework for simulating tipping cascades on complex networks

pydata-book icon pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pythonnumericaldemos icon pythonnumericaldemos

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

scicompforchemists icon scicompforchemists

Scientific Computing for Chemists text for teaching basic computing skills to chemistry students using Python, Jupyter notebooks, and the SciPy stack. This text makes use of a variety of packages including NumPy, SciPy, matplotlib, pandas, seaborn, NMRglue, SymPy, scikit-image, and scikit-learn.

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