gladaki Goto Github PK

100-pandas-puzzles

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

altair-tutorial

Notebooks for the Altair tutorial

altair-used-to-select-samples-from-poro-perm-cross-plot-to-display-the-respective-pc-curves

We are using Altair to Select Samples from a Poro-Perm Cross Plot and the respective Pc Curves or other data are then shown for the selected samples

azure-files-samples

This repository contains supporting code (PowerShell modules/scripts, ARM templates, etc.) for deploying, configuring, and using Azure Files.

carbonate-characterization-jupiter-notebook-workflow-modules-with-clerkes-arab-d-calibration-data

This repository uses Jupyter Notebooks to demonstrate a tried and proven workflow with the techniques as described by Phillips(1) et al. used in the characterization of most Arab D reservoirs in Saudi Arabia. Permeability, Petrophysical Rock Types (PRT), Capillary Pressure and modeled saturations are all estimated or calculated in this workflow in order to characterize this complex carbonate reservoirs, and Clerke’s(2) Arab D Rosetta Stone core analysis database is used as the calibration data.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

fastapi-ml-scaffolding

Scaffolding for serving ml model APIs using FastAPI

formation-evaluation

Python utility for formation evaluation and petrophysical analysis support

geolog-petrophysical-python-loglans-wells-layouts

Contains Multiple Geolog Python Loglans. Use Read me below for more information.

geolog-python-loglan-use-of-altair-to-interrogate-log-analysis-data

The objective of this repository is take advantage of Geolog's powerful python loglan capabilities to interrogate Petrophysical well log data using python's interactive Altair in Geolog. The use of python in Geolog will allow us to leading-edge data science techniques for Exploratory Data Analysis in Geolog to process, interrogate and interpret out logs.

geolog-used-to-automate-the-characterization-workflow-using-clerkes-rosetta-stone-calibration-data

Using Python with Geolog python loglans used to automate workflow to characterize a complex carbonate reservoir

geolog-used-to-automate-the-characterization-workflow-using-clerkes-rosetta-stone-calibration-data-1

Geolog Project with various python loglans used to create a user-defined workflow to characterize a complex carbonate reservoir using Clerke's Rosetta Stone data as calibration.

gladaki.github.io

Data Science Portfolio

gladiator-home

hello-world

Just testing Github

machine-learning-competition-2020

SPWLA PDDA’s 1st Petrophysical Data-Driven Analytics Contest -- Sonic Log Synthesis

my-arsenal-of-aws-security-tools

List of open source tools for AWS security: defensive, offensive, auditing, DFIR, etc.

nlp_transform21

Material for demo/tutorial presentation, TRANSFORM 2021 conference.

open-source-ml-courses

📺 A place to discover the latest machine learning courses on YouTube.

opensource-ml

These are list of courses for Python, ML, DL, Analytics

pandas_exercises

Practice your pandas skills!

petroeval

petrophysics-python-series

A series of Jupyter notebooks showing how to load well log and petrophysical data in python.

pycon-2019-tutorial

Data Science Best Practices with pandas

python-bootcamp-for-geoengineers

Python source codes and notebooks from my courses I've given to SPEs and in Marietta College, Ohio, US

python-visualization-packages

This is list of Python visualization packages

sklearn-used-to-predict-petrophysical-rock-types-in-arab-d-carbonate

Use of Sklearn to predict Petrophysical Rock Types (PRT) in an Arab D carbonate based on Clerke's Rosetta Stone Calibration data

spwla2021_ml_workshop_edited

Repository for the 2021 Machine Learning workshop..I copied from Andy Macdonald !! I am adding few things to test :)

transform_2020_intro_viz

Notebooks for the tutorial for SWUNG Transform 2020 Subsurface conference on an Introduction to Interactive Plotting

volve-machine-learning

Exploration of machine learning in the Volve field dataset