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amtemu.v0.9.2-painter

amtemu.v0.9.2-painter

awesome-java-books

Java开发者技术书籍大全 - Java入门书籍，Java基础及进阶书籍，框架与中间件，架构设计，设计模式，数学与算法，JVM周边语言，项目管理&领导力&流程，职业素养与个人成长，格局与视野，面试参考书等。

beautiful-visualization-with-r

《R语言数据可视化之美》配套代码

books

技术书籍等

byte-of-python

《简明 Python 教程》V4.0c 2017 译本 /A Byte of Python 2017 Simplified Chinese Translation Edition

clm-microbe

This is the code repository for CLM-Microbe model.

comp-3000

cplusplusthings

C++那些事

csbook

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

dataanalytics

《数据分析与处理技术》课件与相关资料

eb1a-guidance

ebook

classic books of computer science!

ecmwfr

Interface to the public ECMWF API Web Services

egu_2021_lgeo_workshops

Workshop materials for EGU General Assembly 2021 sessions Spatio-temporal trend analysis of spatial climate data (temperature and rainfall) using Python Satellite image processing using Python programming

git-recipes

🥡 Git recipes in Chinese by Zhongyi Tong. 高质量的Git中文教程.

hefin-i-rhys-machine-learning-with-r-the-tidyverse-and-mlr

Exercises from Hefin I. Rhys' book, "Machine Learning with R, the tidyverse and mlr" by Manning Press

ibm_bak

IBM Developer 中文网站文章备份

imf_ess

Source-code for book "Introduction to Modern Fortran for the Earth System Sciences"

java-books-collections

:books:Java编程书籍收集分享。Java programming books collection to share.:rocket:

landsat-lai

Employing a data-driven approach to generate Leaf Area Index (LAI) maps from Landsat images over CONUS

machine-learning-using-r

Source code for 'Machine Learning Using R' by Karthik Ramasubramanian and Abhishek Singh

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

millennial

This is a repository for the newly developed Millennial model

ncar-neon

Repository for developing code related to NCAR-NEON workshop

neon-data-skills

Self-paced tutorials that review key data literacy concepts and data analysis skills. Published materials can be found at:

neon-utilities

Utilities and scripts for working with NEON data. Currently: an R package with functions to join (stack) the month-by-site files in downloaded NEON data, to convert data to geoCSV format, and to download data from the API.

newtest

test for learn github

note

关于R语言学习或者看书笔记

notes-python

中文 Python 笔记

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media