Big Data & Cloud Computing for Oceanography

Related tags

Data Analysisds2-2022
Overview

DS2 Class 2022, Big Data & Cloud Computing for Oceanography

Home of the 2022 ISblue Big Data & Cloud Computing for Oceanography class (IMT-A, ENSTA, IUEM) given by:

This repo is a place holder for the class practice session and for projects developed by students.

Practice notebooks

See https://github.com/obidam/ds2-2022/blob/main/practice/README.md

Projects

See https://github.com/obidam/ds2-2022/blob/main/project/README.md

Owner
Ocean's Big Data Mining
Tools for data mining of large and/or diverse ocean's datasets, primarily oriented toward ocean's physic, observations and (re)-analysis
Ocean's Big Data Mining
GitHub Repository
Feature Detection Based Template Matching

Feature Detection Based Template Matching The classification of the photos was made using the OpenCv template Matching method. Installation Use the pa

Muhammet Erem 2 Nov 18, 2021
Analyze the Gravitational wave data stored at LIGO/VIRGO observatories

Gravitational-Wave-Analysis This project showcases how to analyze the Gravitational wave data stored at LIGO/VIRGO observatories, using Python program

1 Jan 23, 2022
PCAfold is an open-source Python library for generating, analyzing and improving low-dimensional manifolds obtained via Principal Component Analysis (PCA).

PCAfold is an open-source Python library for generating, analyzing and improving low-dimensional manifolds obtained via Principal Component Analysis (PCA).

Burn Research 4 Oct 13, 2022
Uses MIT/MEDSL, New York Times, and US Census datasources to analyze per-county COVID-19 deaths.

Covid County Executive summary Setup Install miniconda, then in the command line, run conda create -n covid-county conda activate covid-county conda i

Ahmed Fasih 1 Dec 22, 2021
PrimaryBid - Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift

Transform application Lifecycle Data and Design and ETL pipeline architecture for ingesting data from multiple sources to redshift This project is composed of two parts: Part1 and Part2

Emmanuel Boateng Sifah 1 Jan 19, 2022
signac-flow - manage workflows with signac

signac-flow - manage workflows with signac The signac framework helps users manage and scale file-based workflows, facilitating data reuse, sharing, a

Glotzer Group 44 Oct 14, 2022
Bigdata Simulation Library Of Dream By Sandman Books

BIGDATA SIMULATION LIBRARY OF DREAM BY SANDMAN BOOKS ================= Solution Architecture Description In the realm of Dreaming, its ruler SANDMAN,

Maycon Cypriano 3 Jun 30, 2022
TheMachineScraper 🐱‍👤 is an Information Grabber built for Machine Analysis

TheMachineScraper 🐱‍👤 is a tool made purely for analysing machine data for any reason.

doop 5 Dec 01, 2022
Conduits - A Declarative Pipelining Tool For Pandas

Conduits - A Declarative Pipelining Tool For Pandas Traditional tools for declaring pipelines in Python suck. They are mostly imperative, and can some

Kale Miller 7 Nov 21, 2021
Larch: Applications and Python Library for Data Analysis of X-ray Absorption Spectroscopy (XAS, XANES, XAFS, EXAFS), X-ray Fluorescence (XRF) Spectroscopy and Imaging

Larch: Data Analysis Tools for X-ray Spectroscopy and More Documentation: http://xraypy.github.io/xraylarch Code: http://github.com/xraypy/xraylarch L

xraypy 95 Dec 13, 2022
Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code

Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather

Tuplex 791 Jan 04, 2023
Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle.

2019-indian-election-eda Exploratory Data Analysis of the 2019 Indian General Elections using a dataset from Kaggle. This project is a part of the Cou

Souradeep Banerjee 5 Oct 10, 2022
An Integrated Experimental Platform for time series data anomaly detection.

Curve Sorry to tell contributors and users. We decided to archive the project temporarily due to the employee work plan of collaborators. There are no

Baidu 486 Dec 21, 2022
An Aspiring Drop-In Replacement for NumPy at Scale

Legate NumPy is a Legate library that aims to provide a distributed and accelerated drop-in replacement for the NumPy API on top of the Legion runtime. Using Legate NumPy you do things like run the f

Legate 502 Jan 03, 2023
CRISP: Critical Path Analysis of Microservice Traces

CRISP: Critical Path Analysis of Microservice Traces This repo contains code to compute and present critical path summary from Jaeger microservice tra

Uber Research 110 Jan 06, 2023
Python Package for DataHerb: create, search, and load datasets.

The Python Package for DataHerb A DataHerb Core Service to Create and Load Datasets.

DataHerb 4 Feb 11, 2022
A Big Data ETL project in PySpark on the historical NYC Taxi Rides data

Processing NYC Taxi Data using PySpark ETL pipeline Description This is an project to extract, transform, and load large amount of data from NYC Taxi

Unnikrishnan 2 Dec 12, 2021
Elementary is an open-source data reliability framework for modern data teams. The first module of the framework is data lineage.

Data lineage made simple, reliable, and automated. Effortlessly track the flow of data, understand dependencies and analyze impact. Features Visualiza

898 Jan 09, 2023
Using Python to scrape some basic player information from www.premierleague.com and then use Pandas to analyse said data.

PremiershipPlayerAnalysis Using Python to scrape some basic player information from www.premierleague.com and then use Pandas to analyse said data. No

5 Sep 06, 2021
The Spark Challenge Student Check-In/Out Tracking Script

The Spark Challenge Student Check-In/Out Tracking Script This Python Script uses the Student ID Database to match the entries with the ID Card Swipe a

1 Dec 09, 2021