Programming & Software skills:Python

Skills used in My Papers

Complex Network Analysis (ANA)

In the Decreased Virtual Water Outflows from the Yellow River Basin Are Increasingly Critical to China, I used the popular Python package Networkx to apply CNA.

Agent-based modelling (ABM)

I’m working on an open-source package 「coupling human and natural systems in ABM」(CHNS_Agents). This package provides a framework for building coupled human and natural systems. More information can be found in my project: Complex system modelling of human-water relationships.

Causal inference

In the paper [[Item Water Allocation Institution]], I applied 「Differenced Synthetic Control」by Python to analyze institutional shifts’ net effect on water use.

Time series analysis

Analyzing time-series data are available in a lot of my papers since evolution is of my top concerns:

• Decoupling of SDGs followed by re-coupling as sustainable development progresses.pdf
• Decreased Virtual Water Outflows from the Yellow River Basin Are Increasingly Critical to China
• Sediment Transport under Increasing Anthropogenic Stress_Regime Shifts within the Yellow River, China
• Improving Representation of Collective Memory in Socio-hydrological Models and New Insights into Flood Risk Management

Data visualization

I’m also a big fan of [data viz]([[Soft skills_Visualization]]) in Python; here are some of my workpieces:

Skills used in projects for Fun

Command Line Tool: Mksci

The twist is a strong advocate of open science and reproducible research. He also developed an open-source framework package, “mksci”, for scholars to manage their multi-sources datasets, approaches, outputs, and manuscript versions easier.

Django Project: Dream Bottle

Open-source project for fun. Codes are accessible on GitHub

Courses

• 2020: I finished the “Data scientist in Python” path course on Dataquest.
• 2021: I finished “Machine Learning” on Coursera, provided by Andrew Ng from the Stanford Online team.