Doing Astrophysics using Python

1. Basic information

• Course ID: PH3066
• Semester: first semester of academic year 2025
• from September 2025 to December 2025
• Course name
• in English: Doing Astrophysics using Python
• in Chinese: 用 Python 做天文物理
• Time: from 13:00 to 15:50 on Wednesday
• Classroom: S4-202
• Instructor: Kinoshita Daisuke

2. Things you need to bring to the classroom

• Computer
• laptop computer or tablet computer
• for viewing course material
• for writing Python scripts

3. Schedule

4. Timetable

5. Announcements

To download files, connect to one of Wi-Fi access points of our university.

Turn on Wi-Fi and connect to "NCUPHY" or "NCUWL" or "eduroam" or "TANetRoaming" to access to following link.

Turn on Wi-Fi and connect to "NCUPHY" or "NCUWL" or "eduroam" or "TANetRoaming" to access to following link.

6. Course material

6.1 PDF files

Course material can be downloaded only from comptuers / mobile phones connected to the Wi-Fi access point "NCUPY".

• In the classroom, connect to the Wi-Fi "NCUPHY" for downloading course material.

6.2 Jupyter Notebook files

• Session 00
• https://colab.research.google.com/drive/1idiEdT0a2GgnKdUNethjw3eU_ftoEmF_?usp=sharing
• Session 01
• https://colab.research.google.com/drive/1ohCCySyOToUrR2zV-RHFC8RH0-Kiz5hu?usp=sharing
• Session 02
• https://colab.research.google.com/drive/157cBm3hg0eQ2PVzbwcCPCD8YuG3AOwb5?usp=sharing
• Session 03
• https://colab.research.google.com/drive/1MJPg1JF91zJR-CZksinUgeZONSO5RLf8?usp=sharing
• Session 04
• https://colab.research.google.com/drive/1960fjZWt21l05bcno98FERFCvkfSyXXz?usp=sharing
• Session 05
• https://colab.research.google.com/drive/1Hs1ybs028aYUqKt1ILMR5uDRB62ZB4kw?usp=sharing
• Session 06
• https://colab.research.google.com/drive/15bLMcip8gd0uySwt507bl4m1p6l62Dbk?usp=sharing
• Session 07
• https://colab.research.google.com/drive/1o-80_BSA10bHLb-kPWP7w5kjG0cMq1HZ?usp=sharing
• Session 08
• https://colab.research.google.com/drive/1ZoVZwfJFtTQyqTfPRgtAJPqzHJIgYOGh?usp=sharing
• Session 09
• https://colab.research.google.com/drive/1U0lPMeDVvWmhEfbsYd6Bi9w--Xj-WW8t?usp=sharing
• Session 10
• https://colab.research.google.com/drive/1k2fmmVGUPFi9hL7K21UZ_0wyKxbLoxgZ?usp=sharing
• Session 11
• https://colab.research.google.com/drive/1ykVm2pndjfZ7B4wAOo-K1Bp0zRnqKWlc?usp=sharing
• Session 12
• https://colab.research.google.com/drive/18HH44XzCmQU9usK7KilF52PctkUlXkar?usp=sharing
• Session 13
• https://colab.research.google.com/drive/1TGy9IAlU04087sxO0YmsGgc7hFwHCTYz?usp=sharing

7. Attendance checks

7.1 Attendance check 1

To show your attendance in the classroom, submit your answer to the Python programming exercise via Google Forms.

Turn on Wi-Fi and connect to "NCUPHY" to access to the following link.

• Attendance check form 1
• Connect to the Wi-Fi access point "NCUPHY"!
• Above link is available from 12:45 to 13:15 on Wednesday.
• deadline of attendance check submission: 13:15 on Wednesday

Turn on Wi-Fi and connect to the Wi-Fi "NCUPHY" when submitting your responses for attendance check.

7.2 Attendance check 2

To show your attendance in the classroom, open the Jupyter Notebook file using Google Colab, execute all the cells, create a PDF file using "Print", and then submit the PDF file via Google Forms.

Turn on Wi-Fi and connect to "NCUPHY" to access to the following link.

• Attendance check form 2
• Connect to the Wi-Fi access point "NCUPHY"!
• Above link is available from 15:30 to 15:50 on Wednesday.
• deadline of attendance check submission: 15:50 on Wednesday

Turn on Wi-Fi and connect to the Wi-Fi "NCUPHY" when submitting your responses for attendance check.

8. Assignment submission

To submit your assignment, connect to one of Wi-Fi access points of our university.

Turn on Wi-Fi and connect to "NCUPHY" or "NCUWL" or "eduroam" or "TANetRoaming" to access to following link.

• Assignment submission form
• deadline of assignment submission: 12:30 on Wednesday (one week from the day of the class)

Turn on Wi-Fi and connect to the Wi-Fi "NCUPHY" or "NCUWL" or "eduroam" or "TANetRoaming" when submitting your responses for assignment submission.

9. Contact address

• For non-emergency issues, come and talk to me in the classroom.
• For emergency issues, send a message via https://www.instagram.com/daisuke23888/.

10. On-line Python programming exercise

If you are new to Python programming, please join the on-line Python programming exercise.

• https://s3b.astro.ncu.edu.tw/ipype/
• from 20:00 to 20:30 on Thursday

11. Video files

11.1 Video files for the session 04