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Name: Md Nahin Alam
Type: User
Company: University of Chittagong
Twitter: mdnahinalam
Location: Chittagong, Bangladesh
Name: Md Nahin Alam
Type: User
Company: University of Chittagong
Twitter: mdnahinalam
Location: Chittagong, Bangladesh
2018 OOI Data Workshops
Maps made as part of the #30DayMapChallenge - mostly in python but also use QGIS and other tools
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
🌍 My contributions to the #30DayMapChallenge 2019
ArcGIS Tutorials
:ocean: A curated list of awesome coral research tools and resources.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A curated list of Google Earth Engine resources
Long list of geospatial tools and resources
A curated list of references for MLOps
Jupyter notebooks to calculate and analyze eddy kinetic energy in AWI-CM-1-1-MR's CMIP6 simulations.
Biggest Census data of Bangladesh
Belkin O'Reilly Algorithm
A case study: edge detection technique using canny edge algorithm
This is an implementation of Canny Edge Detection Algorithm in Python without using any library.
Building a model to identify periods of upwelling off the Oregon coast using environmental data collected by the OOI. Capstone project for data science immersive.
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
In this repo, I'll show you how to programatically access satellite imagery from several APIs to create such a map of Italy. We will use a single interface to query the data without even downloading raster data to your local drive 😲. For a tutorial please visit https://milospopovic.net/crisp-topography-map-with-r/
Notebooks for the OOI Ocean Data Labs Workshops
This R package is designed to obtain USGS or EPA water quality sample data, streamflow data, and metadata directly from web services. See: http://usgs-r.github.io/dataRetrieval/
Pure Python library for reading DHT11 sensor on Raspberry Pi
Data Interpolating Empirical Orthogonal Functions
A conda environment and docker container to support using earth and environmental data in Python.
The data provided Food Agricuture Organization (FAO). I analysed this data using R. To explore more check every file
Tutorial for creating a map using Forest Coverage data
Tutorials for making 3D-looking maps with Blender and QGIS
Code to support publication: Oliver, E. C. J. et al., Longer and more frequent marine heatwaves over the past century, Nature Communications
Similar to gage-conditions-gif but for groundwater!
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.