Programming Day

This is a series of Python/programming related seminars held by Kafeibreak participants. Up to now the scheduled topics can be catagorized into three major sections as following:

Python Practice (PP)

This section is a systematic introduction of Python to beginner-level pythonists.

Contributors: Chen Jianhang, Feng Haoran, Hu Bo, Shi Fangzheng

1. A deeper introduction to the Python language

   This topic covers stuffs such as the strengh and weakness of Python, what it can do, some fancy showcases as well.

2. A good practice of working with Python (1)

   Style guide & non-beginner level concepts and functions.

3. A good practice of working with Python (2)

   Environment, e.g. virtual environment, ipython, jupyter.

4. Objective-oriented/Functional programming

5. How to build a Python package (1)

   What is a package, the Python package import system, package acquiring systems.

6. How to build a Python package (2)

   A software engineering aspect: modularization, documenting, version control.

7. How to build a Python package (3)

   Testing and deployment: pytest, Travis CI, etc.

8. How to build a Python package (4)

   Pulishing: pip, Github, etc.

Fancy Python

Package based application of Python in research work.

Contributors: Call for contributors now

• Numerical python: numpy & scipy

• Integration with high-performance languages: C, Fortran, C++

• Visualizing (1): Matplotlib

• Visualizing (2): seaboard & MayaVi

• Building a GUI: PyQt, PySide

• Astropy

• Pandas

• Tensor Flow & PyTorch

• Python working with databases

• Web-server: Django, Flask

• Shell command in python -- Speaker: Xiaotong Guo

Non-python Talks

Free topics, programming related.

• Git & Github

• Topcat

• Personal website

• CIGALE

• Xspec

• Time-domain data analysis

• Statistics

• Data fitting

• ffmpeg