Geochemistry π is a Python framework for data-driven geochemistry discovery. It provides an extendable tool and one-stop shop for geochemical data analysis on tabular data.

The goal of the Geochemistry π is to create user-friendly and extensible products of high automation for the full cycle of geochemistry research, including a python package and a software with a command-line interface in the first stage.

The activity diagram of the Geochemistry π Version 1.0.0:

The whole package is under construction and the documentation is progressively evolving.

Team Info

Leader:

• Can He (Sany, National University of Singapore, Singapore)
  Email: [email protected]

Core Developers:

• Yang Lyu (Daisy, Zhejiang University, China)
• Jianming Zhao (Jamie, Jilin University, Changchun, China)
• Jianhao Sun (Jin, China University of Geosciences，Wuhan, China)
• Qiuhao Zhao (Brad, Zhejiang University, China)
• Shengxin Wang (Samson, Lanzhou University, China)

Members:

• Wenyu Zhao (Molly, Zhejiang University, China)
• Fang Li (liv, Shenzhen University, China)
• Ting Liu (Kira, Sun Yat-sen University, China)
• Kaixin Zheng (Hayne, Sun Yat-sen University, China)
• Aixiwake·Janganuer (Ayshuak, Sun Yat-sen University, China)
• Parnanjan Dutta (Presidency University, Kolkata, India)
• Xinyu Huang (China University of Petroleum, Beijing, China)
• Bailun JIANG (EPSI / Lille University, France)
• Yongkang Chang (Kill-virus, Langzhou University, China)

Join Us :)

The recruitment of research interns is ongoing !!!

Key Point: All things are done online, remote work (*^▽^*)

What can you learn?

• Learning the full cycle of data mining on geochemistry data, including the algorithms in regression, classification, clustering, and decomposition.
• Learning to be a qualified Python developer, including any Python programing contents towards data mining, basic software engineering techniques and tools like Git.

What can you get?

• Research internship proof and reference letter after working for > 100 hours.
• Chance to pay a visit to Hangzhou, China, sponsored by ZJU Earth Data.
• Chance to be guided by the experts from IT companies in Silicon Valley and Hangzhou.
• Bonus depending on your performance.

Current Working Pattern:

• Online working and cooperation
• Two weeks per working cycle -> One online meeting per working cycle

Even if you are not familiar with topics above, but if you are interested in and have plenty of time to do it. That's enough. We have a full-developed training system to help you, as a newbie of data mining or Python developer, learn steps by steps with seniors until you can make a significant contribution to our project.

More details about the project?
Please refer to:
English Page: https://person.zju.edu.cn/en/zhangzhou
Chinese Page: https://person.zju.edu.cn/zhangzhou#0

Do you want to contribute to this open-source program?
Contact with your CV: [email protected]

In-house Videos

Technical record videos are on Bilibili and Youtube synchronously while other meeting videos are internal materials.

1. ZJU_Earth_Data Introduction (Geochemical Data, Python, Geochemistry π) - Prof. Zhang
2. How to Collaborate and Provide Bug Report on Geochemistry π Through GitHub - Can He (Sany)
3. How to Run Geochemistry π v1.0.0-alpha - Can He (Sany)
4. How to Create and Use Virtual Environment on Geochemistry π - Can He (Sany)
5. How to use Github-Desktop in conflict resolution - Qiuhao Zhao (Brad)
6. Virtual Environment & Packages On Windows - Jianming Zhao (Jamie)
7. Git Workflow & Coordinating Synchronization - Jianming Zhao (Jamie)

Contributors

• Anzhou Li (Andrian, Zhejiang University, China)
• Xunxin Liu (Tante, China University of Geosciences, Wuhan, China)