cham_teaches_python

This is the matierial used in Bo Zhang's lecture on python @NAOC stars & star systems group.

AUTHORS

If you find this code useful in your research, please let us know. Thanks!

Any people are welcome to contribute to this package.

These are very useful knowledge, skills and code styles when you use python to process astronomical data.
All materials can be found on my github page.
jupyter notebook (formerly named ipython notebook) is recommeded to use

These lectures are organized as below:

Temporally python3 is not used.

Name		Name	Last commit message	Last commit date
Latest commit History 42 Commits
anaconda		anaconda
data		data
exercise		exercise
gallery		gallery
stuff01		stuff01
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
cham_teaches_python_01_install_python.ipynb		cham_teaches_python_01_install_python.ipynb
cham_teaches_python_02_basic_syntax.ipynb		cham_teaches_python_02_basic_syntax.ipynb
cham_teaches_python_03_numerical_computing.ipynb		cham_teaches_python_03_numerical_computing.ipynb
cham_teaches_python_04_scientific_computing_optimization.ipynb		cham_teaches_python_04_scientific_computing_optimization.ipynb
cham_teaches_python_05_plotting.ipynb		cham_teaches_python_05_plotting.ipynb
cham_teaches_python_06_astronomical_data.ipynb		cham_teaches_python_06_astronomical_data.ipynb
cham_teaches_python_07_high_performance_computing.ipynb		cham_teaches_python_07_high_performance_computing.ipynb
cham_teaches_python_08_version_control.ipynb		cham_teaches_python_08_version_control.ipynb
monte_carlo_pi.py		monte_carlo_pi.py