Lydia's notes

Jupyter Notebook

Reference http://docs.sunpy.org/en/stable/guide/acquiring_data/jsoc.html

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%load_ext autoreload
%autoreload 2

import astropy.units as u

from sunpy.net import Fido, attrs

# Suppress warnings of pandas, astropy
import warnings
warnings.simplefilter("ignore", category=FutureWarning)
from astropy.utils.exceptions import AstropyDeprecationWarning
warnings.simplefilter("ignore", category=AstropyDeprecationWarning)

To be clear, here we use

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from sunpy.net import Fido, attrs

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from sunpy.net import Fido, attrs as a

Jupyter Notebook

Reference http://docs.sunpy.org/en/stable/guide/acquiring_data/fido.html

See also: Example: downloading data from JSOC

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import astropy.units as u

from sunpy.net import Fido, attrs

To be clear, here we use

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from sunpy.net import Fido, attrs

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from sunpy.net import Fido, attrs as a

Jupyter Notebook FITS Data

Anaconda

A conda package is a compressed tarball file that contains system-level libraries, Python or other modules, executable programs and other components. Conda keeps track of the dependencies between packages and platforms.
(https://conda.io/docs/user-guide/concepts.html)

• 凡使用 pip install 安装的包均为编译安装, conda install 安装的则为编译好的二进制包.
• conda 包可以打包其他语言, pip 包容易出现系统依赖问题
• conda 包的依赖管理更完善
• conda 环境下仍可使用 pip 进行安装, 但所使用的 pip 命令和系统中的 pip 互不影响, 安装的包的位置也在 conda 本身的目录下.
• 每个环境互不影响, 各环境下的包虽然必须分别安装 (也可以 clone 一个现有环境),
  但如果有不同环境中有重复的包 conda 将默认使用 hard link.

(更多讨论参考 https://jakevdp.github.io/blog/2016/08/25/conda-myths-and-misconceptions/)

Jupyter Notebook FITS Data

简介

优势: 开源, 用户广, 用途广, 社区完善, 新手友好

https://www.jetbrains.com/research/python-developers-survey-2017/

2017年的 python 使用调查报告 https://www.jetbrains.com/research/python-developers-survey-2017/

参考网站:

• 官方网站: https://www.python.org/
• stackoverflow https://stackoverflow.com/questions/tagged/python
• 官方文档 https://docs.python.org
• 廖雪峰的网站 (包含 python2.7 和 python3 的教程) https://www.liaoxuefeng.com
• wikibooks https://en.wikibooks.org/wiki/Python_Programming
• 演示代码执行过程的工具 http://pythontutor.com/
• 天文相关教程 (较新) https://python4astronomers.github.io

获取 python 包/模块/函数的帮助:

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# python
>>> help(name)

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# shell
$ pydoc <name>
$ pydoc -w <name>  # 生成一个 html 帮助文件

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# ipython/jupyter
name?  # 弹出帮助文档, `Esc` 退出文档

Jupyter Notebook

[Update 2022-07-12] Some outputs were updated with python 3.10.