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<p style="text-align: center"><b><font size=5 color=blueyellow>High-Performance Data Analytics with Python - Schedule</font></b></p>
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**Jan. 21 - 23, 09:00 - 12:00 (CET), 2025**
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## General information
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**Links for the workshop**:
- This **HackMD page**: https://hackmd.io/@yonglei/python-hpda-2025-schedule
- **Lesson material**: https://enccs.github.io/hpda-python/
- **Workshop page**: https://enccs.se/events/hpda-python-jan-25/
- **Zoom link**:
- Workshop feedback form:
- Workshop will be recorded but participant interactions edited out before publishing.
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**Links for ENCCS**
- **ENCCS:** https://enccs.se/
- **Events**: https://enccs.se/events/
- **Newsletter**: https://enccs.se/newsletter
- Follow us on [**LinkedIn**](https://www.linkedin.com/company/enccs), [**Twitter**](https://twitter.com/EuroCC_Sweden), and [**YouTube**](https://www.youtube.com/@enccs)
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## Instructors and helpers
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- Ashwin Mohanan (AM), ENCCS/RISE
- Francesco Fiusco (FF), ENCCS/RISE
- Qiang Li (QL), ENCCS/LiU
- Yonglei Wang (YW), ENCCS/LiU
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## Ice breaking question
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**What's your first name, and on what project you are working with Python?**
- Marcus - Data analysis of large scale metagenomic data as well as bioinformatics.
- Marcin, a number of different projects in bioinformatics. Also using uPython quite a bit. Working in R and Python in general.
- Endrina - Omics data analysis
- Maureen - I use Python to analyse climate model outputs
- Kristyna - I mostly focus of DFT calculations and use Python for analysing data and visualisation
- Erik - Working in Python. Doing data science, normally associated with GNSS.
- Victor, working in Python doing radar/localization simulations and optimization.
- Emil - Analyzing material x-ray images, e.g. phase quantification and residual stresses.
- Francesco, mainly postprocessing of CFD data
- Guido - using python for developing deep learning based algorithm for computer vision surgical robots
- Leonidas - I use python for bayesian optimization in the context of explainable AI
- Arun: MPAS-Atmosphere Model Output Data Analysis
- Kirils - working in numerical modelling of physica
- Julia - I do computational chemistry modeling, so I use Python for MD and DFT results analysis
- Lourdes - I use
- Pablo - working on AI applied to electronic structure
- Obadero Samuel - I use python for Data analysis and visualization.
- Erika: x-ray image analys
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## Schedule
### <font color=red>(Jan. 21) Day 1</font>
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**https://hackmd.io/@ENCCS-Training/python-hpda-2025-day1**
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| Time | Contents | Instructor(s) |
| :---------: | :------: | :-----------: |
| 09:00-09:15 | Welcome | YW |
| 09:15-09:30 | Motivation | YW |
| 09:30-10:20 | Scientific data | FF |
| 10:20-10:40 | Break | |
| 10:40-11:55 | Efficient array computing | FF |
| 11:55-12:00 | Q/A & Reflections | |
### <font color=red>(Jan. 22) Day 2</font>
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**https://hackmd.io/@ENCCS-Training/python-hpda-2025-day2**
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| Time | Contents | Instructor(s) |
| :---------: | :------: | :-----------: |
| 09:05-10:20 | Parallel computing | QL |
| 10:20-10:40 | Break | |
| 10:40-11:55 | Benchmarking, profiling and optimizing | AM |
| 11:55-12:00 | Q/A & Reflections | |
### <font color=red>(Jan. 23) Day 3</font>
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**https://hackmd.io/@ENCCS-Training/python-hpda-2025-day3**
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| Time | Contents | Instructor(s) |
| :---------: | :------: | :-----------: |
| 09:05-10:15 | Performance boosting | YW |
| 10:15-10:30 | Break |
| 10:30-11:55 | Dask for scalable analytics | AM |
| 11:55-12:00 | Q/A & Summary | YW |
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## Code of Conduct
We strive to follow the [Contributor Covenant Code of Conduct](https://www.contributor-covenant.org/version/2/1/code_of_conduct/) to foster an inclusive and welcoming environment for everyone.
[](https://github.com/ENCCS/event-organisation/blob/main/CODE_OF_CONDUCT.md)
**In short**:
- Use welcoming and inclusive language
- Be respectful of different viewpoints and experiences
- Gracefully accept constructive criticism
- Focus on what is best for the community
- Show courtesy and respect towards other community members
Contact details to report CoC violations can be [found here](https://enccs.se/yonglei-wang).
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