jjpantano Goto Github PK
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some python notebooks for fun
This Python script uses webscraped Bakken data to generate automated exponential and hyperbolic decline curves for production forecasting for individual wells.
Assess discrete depth interval to estimate the Petrophysical properties for that interval
Dash Demo App - New York Oil and Gas
Apps hosted in the Dash Gallery
Dask tutorial
Model for Enhanced Weathering (EW) dynamics in the soil upper layers.
Some code snippets for GIS tasks
Python library for reading and writing well data using Log ASCII Standard (LAS) files
Interactive jupyter notebooks for pangeo tutorial events
A petrophysics python package for geoscience python computing of conventional and unconventional formation evaluation. Reads las files and creates a pandas dataframe of the log data. Includes a basic petrophysical workflow and a simple log viewer based on XML templates.
Launched in 2018 Actively developed and supported. Supports tkinter, Qt, WxPython, Remi (in browser). Create custom layout GUI's simply. Python 2.7 & 3 Support. 200+ Demo programs & Cookbook for rapid start. Extensive documentation. Examples using Machine Learning(GUI, OpenCV Integration, Chatterbot), Floating Desktop Widgets, Matplotlib + Pyplot integration, add GUI to command line scripts, PDF & Image Viewer. For both beginning and advanced programmers .
A demo of the Mito Streamlit Spreadsheet
Streamlit — The fastest way to build custom ML tools
An example streamlit app for visualizing log curves in las files
The aim is to try and build some interactive log visualisations using dash in notebooks and demonstrate what is possible (and also what the limitations are) using dash on subsurface data. Ultimately it would be good to try and collate all the examples into a library of templates to share after the Hackathon :swung: I have put together a quick Google Sheet with some initial ideas, so feel free to either pick one that interests you or add something to the list that you think would be fun to make, all ideas welcome.
Well deviation import
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.