HaoLi2025

Pinned Repositories

100-Days-Of-ML-Code
100 Days of ML Coding
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30-Days-Of-Python
30 days of Python programming challenge is a step by step guide to learn Python programming language in 30 days.
Language:Python00
aglandscapes-what-or-how
Contains scripts and files related to a study of the relationship between crop yields and compositions and configuration of landscapes
Language:HTML00
An-Introduction-to-Statistical-Learning
This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.
Language:Jupyter Notebook10
ar6
Figure and data generation for Chapter 7 of the IPCC's Sixth Assessment Report, Working Group 1 (plus assorted other contributions)
Language:Jupyter Notebook0 0 00
bambi
BAyesian Model-Building Interface (Bambi) in Python.
Language:Python00
DataSciencePython
common data analysis and machine learning tasks using python
Language:Python10
Python-Practical-Application-on-Climate-Variability-Studies
This tutorial is a companion volume of Matlab versionm but add more. Main objective is the transference of know-how in practical applications and management of statistical tools commonly used to explore meteorological time series, focusing on applications to study issues related with the climate variability and climate change. This tutorial starts with some basic statistic for time series analysis as estimation of means, anomalies, standard deviation, correlations, arriving the estimation of particular climate indexes (Niño 3), detrending single time series and decomposition of time series, filtering, interpolation of climate variables on regular or irregular grids, leading modes of climate variability (EOF or HHT), signal processing in the climate system (spectral and wavelet analysis). In addition, this tutorial also deals with different data formats such as CSV, NetCDF, Binary, and matlab'mat, etc. It is assumed that you have basic knowledge and understanding of statistics and Python.
Language:Jupyter Notebook10
ShellTutorial
✨Linux命令行与Shell脚本教程 | 包含常见命令行使用，Bash基础、高级编程，以及实用范例！ | 提供在线网页文档 | 承诺健在即更新✨
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tricolore
A flexible color scale for ternary compositions
Language:R1 0 00

HaoLi2025's Repositories

HaoLi2025/DataSciencePython
common data analysis and machine learning tasks using python
Language:Python10
HaoLi2025/ShellTutorial
✨Linux命令行与Shell脚本教程 | 包含常见命令行使用，Bash基础、高级编程，以及实用范例！ | 提供在线网页文档 | 承诺健在即更新✨
10
HaoLi2025/tricolore
A flexible color scale for ternary compositions
Language:R1 0 00
HaoLi2025/aglandscapes-what-or-how
Contains scripts and files related to a study of the relationship between crop yields and compositions and configuration of landscapes
Language:HTML00
HaoLi2025/ar6
Figure and data generation for Chapter 7 of the IPCC's Sixth Assessment Report, Working Group 1 (plus assorted other contributions)
Language:Jupyter Notebook0 0 00
HaoLi2025/bambi
BAyesian Model-Building Interface (Bambi) in Python.
Language:Python00
HaoLi2025/bhm-at-scale
🪜 Bayesian Hierarchical Models at Scale
HaoLi2025/climate_indices
Climate indices for drought monitoring, community reference implementations in Python
HaoLi2025/command-line-quick-reference
quick reference on command line tools and techniques
HaoLi2025/couplings-heat-crops
Data and code for Lesk et al. 2021
HaoLi2025/Crop-Yields-Hunger-And-Climate
This project focused on predicting future hunger and food scarcity based on different climate conditions.
Language:Jupyter Notebook0 0
HaoLi2025/dea-notebooks
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray
HaoLi2025/dea-waterbodies
DEA Waterbodies is a product that maps and monitors open waterbodies across Australia. Once a polygon set has been generated corresponding to open waterbodies, each waterbody is tracked over time to record the change in wet surface area over time.
HaoLi2025/drought_features
run theory to characterize drought indices
HaoLi2025/gitignore
A collection of useful .gitignore templates
HaoLi2025/gushi_namer
古诗文起名: 利用诗经楚辞唐诗宋词等给小朋友起名字
HaoLi2025/hamster
A Heat And MoiSture Tracking framEwoRk (HAMSTER) for the evaluation of Lagrangian models
HaoLi2025/linearmodels
Add linear models including instrumental variable and panel data models that are missing from statsmodels.
HaoLi2025/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
HaoLi2025/pydens
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
Language:Jupyter Notebook0 0
HaoLi2025/pymc_workshop
One-day workshop on probabilistic programming with PyMC
Language:Jupyter Notebook0 0
HaoLi2025/pytesmo
python Toolbox for the Evaluation of Soil Moisture Observations
HaoLi2025/python-resources-for-earth-sciences
A Curated List of Python Resources for Earth Sciences
HaoLi2025/resources
PyMC3 educational resources
HaoLi2025/stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
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HaoLi2025/statrethink-course-numpyro-2019
Statistical Rethinking: A Bayesian Course Using Python and NumPyro
HaoLi2025/TLCL
《快乐的 Linux 命令行》
HaoLi2025/visualization-curriculum
A data visualization curriculum of interactive notebooks.
HaoLi2025/ww_tvol_study
Process global-scale satellite and airborne elevation data into time series of glacier mass change: Hugonnet et al. (2021).
HaoLi2025/xmca
Maximum Covariance Analysis in Python
Language:Python0 0