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Name: Mahendra Nimmakanti
Type: User
Company: NIT Rourkela India
Bio: PhD Student (Meteorology)
Name: Mahendra Nimmakanti
Type: User
Company: NIT Rourkela India
Bio: PhD Student (Meteorology)
Object-oriented programming (OOP) is a method of structuring a program by bundling related properties and behaviors into individual objects. In this tutorial, youโll learn the basics of object-oriented programming in Python.
You'll learn about Iterators, Generators, Closure, Decorators, Property, and RegEx in detail with examples.
Seaborn is one of the go-to tools for statistical data visualization in python. It has been actively developed since 2012 and in July 2018, the author released version 0.9. This version of Seaborn has several new plotting features, API changes and documentation updates which combine to enhance an already great library. This article will walk through a few of the highlights and show how to use the new scatter and line plot functions for quickly creating very useful visualizations of data.
ROMS run of the Arabian Sea
Documentation and samples for ArcGIS API for Python
Course materials for AS 213: Introduction to Python and Its Applications in Atmospheric Sciences.
Driver programs for FMS enabled atmospheric dynamical cores
HW assignments for Atmospheric Dynamics
The Community Earth System Model
Climate Data Science and Earth Observation with Python.
Scripts for downloading weather and climate data
Notes and practicals for my "Physics of the Climate System" lecture
JupyterBook source for The Climate Laboratory
๐ Series of workshops and lectures using Python in the climate/atmospheric sciences ๐
Code to download, process and plot CMIP6 data
Repo for the paper: Climate change in the High Mountain Asia in CMIP6
Some code to homogenize naming and parse variables in a xgcm compatible xarray dataset
Assortment of code for model systems in computational physics
**N.B. Nothing works yet.** Some quick notebooks for analysing the tropical cyclone data provided by Kerry Emanuel on his website: https://emanuel.mit.edu/products
Dokumentasi Pembelajaran Visualisasi Data dengan Matplotlib, Seaborn, dll.
Data visualization is the visual presentation of data or information. The goal of data visualization is to communicate data or information clearly and effectively to readers. Typically, data is visualized in the form of a chart, infographic, diagram or map.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
2021ๅนด็ป่ฎกๅๅค็ๅน่ฎญๆ็จ.
Jupyter notebooks for dynamic meteorology course
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ 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. ๐๐๐
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 โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.