preimage
所属分类:大数据
开发工具:Jupyter Notebook
文件大小:0KB
下载次数:0
上传日期:2023-10-21 19:23:02
上 传 者:
sh-1993
说明: CHIC602:健康数据科学编程(Python),
(CHIC602: Programming for Health Data Science (Python),)
文件列表:
docs/ (0, 2023-10-21)
docs/filter.txt (48, 2023-10-21)
docs/week/ (0, 2023-10-21)
docs/week/06/ (0, 2023-10-21)
docs/week/06/01_python_introduction.pdf (1900062, 2023-10-21)
docs/week/06/01_worksheet_answers.pdf (139222, 2023-10-21)
docs/week/06/01_worksheet_worksheet.pdf (132422, 2023-10-21)
docs/week/07/ (0, 2023-10-21)
docs/week/07/02_python_classes.pdf (1627762, 2023-10-21)
docs/week/07/02_worksheet_answers.pdf (124492, 2023-10-21)
docs/week/07/02_worksheet_worksheet.pdf (118952, 2023-10-21)
docs/week/07/animal.py (463, 2023-10-21)
docs/week/08/ (0, 2023-10-21)
docs/week/08/03_Scientific_Python.pdf (1610024, 2023-10-21)
docs/week/08/03_misc.pdf (131702, 2023-10-21)
docs/week/08/03_numeric_answers.pdf (207133, 2023-10-21)
docs/week/08/03_numeric_worksheet.pdf (205754, 2023-10-21)
docs/week/08/03_packaging.pdf (669156, 2023-10-21)
docs/week/08/diggle_1994_point_process_modelling.pdf (677024, 2023-10-21)
docs/week/09/ (0, 2023-10-21)
docs/week/09/04_python_for_data.pdf (1876431, 2023-10-21)
docs/week/09/04_worksheet_analysis.pdf (261446, 2023-10-21)
docs/week/09/casecontrol.csv (15597, 2023-10-21)
docs/week/09/incinerator.yml (119, 2023-10-21)
docs/week/09/raised_incidence.py (521, 2023-10-21)
docs/week/09/raised_incidence_answers.py (1009, 2023-10-21)
docs/week/10/ (0, 2023-10-21)
docs/week/10/05_advanced_pandas.pdf (791020, 2023-10-21)
docs/week/10/05_engineering.pdf (481571, 2023-10-21)
notebooks/ (0, 2023-10-21)
notebooks/__init__.py (0, 2023-10-21)
notebooks/decay.ipynb (6667, 2023-10-21)
preimage.iml (338, 2023-10-21)
preimage/ (0, 2023-10-21)
preimage/__init__.py (0, 2023-10-21)
preimage/algebra/ (0, 2023-10-21)
preimage/algebra/__init__.py (0, 2023-10-21)
... ...
**CHIC602: Programming for Health Data Science (Python)**
# Development Notes
* [Virtual Development Environment](https://github.com/premodelling/preimage/blob/master/#virtual-development-environment)
* [Anaconda, Conda](https://github.com/premodelling/preimage/blob/master/#anaconda-conda)
* [References](https://github.com/premodelling/preimage/blob/master/#references)
## Virtual Development Environment
### Anaconda, Conda
```bash
conda create --prefix .../health
conda activate health
```
Hence
```bash
conda install -c anaconda python==3.7.11
conda install -c anaconda pandas # installs: numpy, etc.
conda install -c anaconda pywin32 nodejs
pip install jupyterlab # installs: requests, urllib3, etc.
conda install -c anaconda seaborn # installs: matplotlib, scipy, etc.
conda install -c anaconda tornado==6.1.0
conda install -c anaconda python-graphviz arviz
# https://filesystem-spec.readthedocs.io/en/latest/
# file system interface too used by Dask
conda install -c anaconda fsspec==2022.1.0
# distributed computing
conda install -c anaconda dask==2021.10.0
# For Excel
conda install -c anaconda xlrd
```
For more about Dask, refer to https://docs.dask.org/en/latest/install.html. The filter of
the [requirements.txt](https://github.com/premodelling/preimage/blob/master/requirements.txt) file, i.e., [filter.txt](https://github.com/premodelling/preimage/blob/master/./docs/filter.txt), does not
include ``python``, ``python-graphviz``, ``pywin32``, ``nodejs``.
```shell
pip freeze -r docs/filter.txt > requirements.txt
```
## References
* [Gitbooks](https://github.com/premodelling/preimage/blob/master/https://learnbyexample.gitbooks.io/python-basics/content/)
* [Programiz](https://github.com/premodelling/preimage/blob/master/https://www.programiz.com/python-programming/first-program)
* [DABeaz](https://github.com/premodelling/preimage/blob/master/https://dabeaz-course.github.io/practical-python/)
* [Python Packages](https://github.com/premodelling/preimage/blob/master/https://anaconda.org)
* [tableau profile](https://github.com/premodelling/preimage/blob/master/https://public.tableau.com/app/profile/greyhypotheses)
* [strip plots](https://github.com/premodelling/preimage/blob/master/https://seaborn.pydata.org/examples/jitter_stripplot.html)
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