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name: default-token-zp6cz +kind: List +metadata: + resourceVersion: "" + selfLink: "" +fastest@test-master:~$ kubectl describe secret default-token-zp6cz -n anxinyun +Name: default-token-zp6cz +Namespace: anxinyun +Labels: +Annotations: kubernetes.io/service-account.name: default + kubernetes.io/service-account.uid: a1100eea-19c2-4477-afca-61344353f2e5 + +Type: kubernetes.io/service-account-token + +Data +==== +ca.crt: 1025 bytes +namespace: 8 bytes +token: eyJhbGciOiJSUzI1NiIsImtpZCI6ImFiVlF0Y1NyZjNNTkRVMFVieTNNTzhyVlc5T094Y3J2RmFfYTF6R0pveDQifQ.eyJpc3MiOiJrdWJlcm5ldGVzL3NlcnZpY2VhY2NvdW50Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9uYW1lc3BhY2UiOiJhbnhpbnl1biIsImt1YmVybmV0ZXMuaW8vc2VydmljZWFjY291bnQvc2VjcmV0Lm5hbWUiOiJkZWZhdWx0LXRva2VuLXpwNmN6Iiwia3ViZXJuZXRlcy5pby9zZXJ2aWNlYWNjb3VudC9zZXJ2aWNlLWFjY291bnQubmFtZSI6ImRlZmF1bHQiLCJrdWJlcm5ldGVzLmlvL3NlcnZpY2VhY2NvdW50L3NlcnZpY2UtYWNjb3VudC51aWQiOiJhMTEwMGVlYS0xOWMyLTQ0NzctYWZjYS02MTM0NDM1M2YyZTUiLCJzdWIiOiJzeXN0ZW06c2VydmljZWFjY291bnQ6YW54aW55dW46ZGVmYXVsdCJ9.elI35PPYtQp-fletleFR7so88Vozk7g8B7oRa1zy2LxSL1m26s8X6SJAipR5uqweNyi8JML3Yo3lPhs6mmzNLxkTRVk1atyXcCSr6J_iPD2dUUaGTL-ZPRYZ1x8Eb2PfugEQM5tf5YXERXqPpEsxTLM83KkI8ogFJQhLG7s-lWZFbvcgmKpCo3lmzuYf-hO0-JngjLhRxptCUqaFx6s8QwQz0dxNn_EvtMXbZm2cTkewJdsFAzczuKtt2sLiJCl5CSRghWAqkP9pBiC2diwDKzz9A0DevG0b3n7J-9_4fPtbXa5zQI60Rg3XVZRof0XNjw5Nze0ee8bn-6XI8yxIug +fastest@test-master:~$ +``` + + + + + +## 本地Micro-K8S + +安装WSL + +适用于 Linux 的 Windows 子系统可让开发人员直接在 Windows 上按原样运行 GNU/Linux 环境（包括大多数命令行工具、实用工具和应用程序），且不会产生传统虚拟机或双启动设置开销。 + +[安装 WSL](https://docs.microsoft.com/zh-cn/windows/wsl/setup/environment#set-up-your-linux-user-info) + +```sh +POWERSHELL +》wsl --install + +PS C:\Users\yww08> wsl --list --online +以下是可安装的有效分发的列表。 +请使用“wsl --install -d <分发>”安装。 + +NAME FRIENDLY NAME +Ubuntu Ubuntu +Debian Debian GNU/Linux +kali-linux Kali Linux Rolling +openSUSE-42 openSUSE Leap 42 +SLES-12 SUSE Linux Enterprise Server v12 +Ubuntu-16.04 Ubuntu 16.04 LTS +Ubuntu-18.04 Ubuntu 18.04 LTS +Ubuntu-20.04 Ubuntu 20.04 LTS +PS C:\Users\yww08> wsl --install -d Ubuntu-18.04 +正在下载: Ubuntu 18.04 LTS +[====================== 38.4% ] + +创建linux用户 +Installing, this may take a few minutes... +Please create a default UNIX user account. The username does not need to match your Windows username. +For more information visit: https://aka.ms/wslusers +Enter new UNIX username: yww +Enter new UNIX password: 123 +Retype new UNIX password: 123 +passwd: password updated successfully +Installation successful! +To run a command as administrator (user "root"), use "sudo ". +See "man sudo_root" for details. + +更新首选包管理器定期更新和升级包 +sudo apt update && sudo apt upgrade + +通过/mnt/c/ 可以访问宿主机上的文件 + +``` + +设置Windows终端： + +![image-20210927163121708](imgs/安心云数据分析工具/image-20210927163121708.png) + +`ctrl+shift+d` 新Tab + +`alt+shift+d` Split窗口 + +`ctrl+shift+w` 关闭 + + + +```sh +#安装docker +apt install docker.io + +sudo usermod -aG docker $USER + +sudo cgroupfs-mount +sudo service docker start + +#systemctl daemon-reload +#systemctl restart docker.service + +# 上面的安装方法有问题 +curl https://get.docker.com | sh +``` + + + +【MicroK8S】 [Github](https://github.com/ubuntu/microk8s) + +Install MicroK8s with: + +尝试失败了!!! + +``` +snap install microk8s --classic +``` + +MicroK8s includes a `microk8s kubectl` command: + +``` +sudo microk8s kubectl get nodes +sudo microk8s kubectl get services +``` + +To use MicroK8s with your existing kubectl: + +``` +sudo microk8s kubectl config view --raw > $HOME/.kube/config +``` + +将用户添加如 microk8s用户组，以实现对k8s的访问 + +``` +sudo usermod -a -G microk8s +``` + +Kubernetes插件 + +MicroK8s installs a barebones upstream Kubernetes. Additional services like dns and the Kubernetes dashboard can be enabled using the `microk8s enable` command. + +``` +sudo microk8s enable dns dashboard +``` + +Use `microk8s status` to see a list of enabled and available addons. You can find the addon manifests and/or scripts under `${SNAP}/actions/`, with `${SNAP}` pointing by default to `/snap/microk8s/current`. + + + +**Copy from Kai.Lu** + +镜像准备`fetch-images.sh` + +```sh +#!/bin/bash +images=( +k8s.gcr.io/pause:3.1=mirrorgooglecontainers/pause-amd64:3.1 +gcr.io/google_containers/defaultbackend-amd64:1.4=mirrorgooglecontainers/defaultbackend-amd64:1.4 +k8s.gcr.io/kubernetes-dashboard-amd64:v1.10.1=registry.cn-hangzhou.aliyuncs.com/google_containers/kubernetes-dashboard-amd64:v1.10.1 +k8s.gcr.io/heapster-influxdb-amd64:v1.3.3=registry.cn-hangzhou.aliyuncs.com/google_containers/heapster-influxdb-amd64:v1.3.3 +k8s.gcr.io/heapster-amd64:v1.5.2=registry.cn-hangzhou.aliyuncs.com/google_containers/heapster-amd64:v1.5.2 +k8s.gcr.io/heapster-grafana-amd64:v4.4.3=registry.cn-hangzhou.aliyuncs.com/google_containers/heapster-grafana-amd64:v4.4.3 +k8s.gcr.io/metrics-server-amd64:v0.3.6=registry.cn-hangzhou.aliyuncs.com/google_containers/metrics-server-amd64:v0.3.6 +) + +OIFS=$IFS; # 保存旧值 + +for image in ${images[@]};do + IFS='=' + set $image + docker pull $2 + docker tag $2 $1 + docker rmi $2 + docker save $1 > 1.tar && microk8s.ctr --namespace k8s.io image import 1.tar && rm 1.tar + IFS=$OIFS; # 还原旧值 +done +``` + + + +```sh +./fetch-images.sh + +microk8s status --wait-ready + +alias mk='microk8s.kubectl' + +mk get pods -A +``` + + + + + +## Python + +```python +#!/usr/bin/python +# -*- coding: UTF-8 -*- + +print( "你好，世界" ) + +#Python3.X 源码文件默认使用utf-8编码，所以可以正常解析中文，无需指定 UTF-8 编码。 + +注释： +# 单行 +''' +多行 +''' + +""" +多行 +""" + +类型： +数字 +字符串 +列表 list1 = ['Google', 'Runoob', 1997, 2000] +元祖 （元素值是不允许修改） (tup1 = ('physics', 'chemistry', 1997, 2000)) +字典 dict1 = { 'abc': 456 } +集合 a = set('abracadabra') 或者 可以用大括号({})创建集合。注意：如果要创建一个空集合，你必须用 set() 而不是 {} ；后者创建一个空的字典，下一节我们会介绍这个数据结构。 + + +删除元素 del a['k'] +range + +时间： +import time # 引入time模块 + +ticks = time.time() +print "当前时间戳为:", ticks +``` + +| en((1, 2, 3)) | 3 | 计算元素个数 | +| ---------------------------- | ---------------------------- | ------------ | +| (1, 2, 3) + (4, 5, 6) | (1, 2, 3, 4, 5, 6) | 连接 | +| ('Hi!',) * 4 | ('Hi!', 'Hi!', 'Hi!', 'Hi!') | 复制 | +| 3 in (1, 2, 3) | True | 元素是否存在 | +| for x in (1, 2, 3): print x, | 1 2 3 | 迭代 | + +笔记 + +```python +a,b=0,1 +while b<10: + print(b,end=',') + a,b=b,a+b + +print() +# while else 循环 +c=0 +while c<10: + print(c) + c+=2 +else: + print("after c=",c) + +# set顺序是乱的 +chars=set('abcdefg') +for c in chars: + print(c) + +# range([start,]stop[,step]) +for i in range(5,21,2): + print(i) + +# for array +a=['a','b','c'] +for i in range(len(a)): + print(i,':',a[i]); + +# 空语句 可以用pass占位 + +## 迭代器 +a=[1,2,3,4] +it=iter(a) +print(next(it)) +for i in it: + print('in range:',i) + +# while next 写法 +import sys +list=[1,2,3,4] +it = iter(list) # 创建迭代器对象 + +while True: + try: + print (next(it)) + except StopIteration: + print ('finished') + break + #sys.exit() + +print('is here?') + +# 通过yield生成斐波那契数列 +def fibonacci(n): + a,b,count=0,1,0 + while True: + if (count>n): + return + yield a + a,b=b,a+b + count+=1 + +f=fibonacci(10) +for fi in f: + print('f',fi,end=',') + + +# 函数 +def hello() : + print("Hello World!") + +ret=hello() +print('ret:'+str(ret)) + +''' +不可变类型：strings,tuples,numbers 作为函数参数类似C++中值传递 +可变类型: list,dict 作为函数参数类似C++中的引用传递 + +参数可以按名称传递、可以有默认值 +可变长参数如下 +''' +def printinfo(arg1,*vartuple): + print(arg1) + print(len(vartuple)) +printinfo(7) + +# 加了两个星号 ** 的参数会以字典的形式导入。 + +sum=lambda a,b:a+b +print(sum(1,20)) + +# 列表推导式 +vec=[2,4,6] +dd=[3*x for x in vec] +print(dd) + +# 字典的便利 +dics={'name':'ww','age':18} +for k,v in dics.items(): + print(k,'=',b) + +# 遍历技巧 +# for i,v in enumerate(list) 同时获得索引和值 +# zip(list1,list2) 组合两个序列 +# reversed(seq) 反向 +# sorted(seq) 排序 + +## 类型转换 +# int(x[, base]) 将x转换为一个整数，base为进制，默认十进制 +# +# long(x[, base] ) 将x转换为一个长整数 +# +# float(x) 将x转换到一个浮点数 +# +# complex(real[, imag]) 创建一个复数 +# +# str(x) 将对象 x 转换为字符串 +# +# repr(x) 将对象 x 转换为表达式字符串 +# +# eval(str) 用来计算在字符串中的有效Python表达式, 并返回一个对象 +# +# tuple(s) 将序列 s 转换为一个元组 +# +# list(s) 将序列 s 转换为一个列表 +# +# set(s) 转换为可变集合 +# +# dict(d) 创建一个字典。d 必须是一个序列(key, value) 元组。 +# +# frozenset(s) 转换为不可变集合 +# +# chr(x) 将一个整数转换为一个字符 +# +# unichr(x) 将一个整数转换为Unicode字符 +# +# ord(x) 将一个字符转换为它的整数值 +# +# hex(x) 将一个整数转换为一个十六进制字符串 +# +# oct(x) 将一个整数转换为一个八进制字符串 +``` + +模块学习： + +`m.py` + +```python +# !/usr/bin/python3 +if __name__=='__main__': + # 程序独立运行 + pass +else: + # 程序被模块调用 + print('moduled') + +def fabonacci(n): + a,b,c=0,1,0 + while c + +```python +try: + ... +except OSError as err: + print('OS Error: {0}'.format(err)) +except (RuntimeError,TypeError,NameError): + pass +except: + raise +else: # 没有发生异常时执行 + ... +finally: # 永远执行 + ... +``` + + + +面向对象 + +```python +#!/usr/bin/python3 + +class people: + name='' + + # 构造函数 + def __init__(self,n,a): + self.name=n + self.age=a + + # 类方法 + def speak(self): + print("%s speak age %d"%(self.name,self.age)) + +# 继承 (同时支持多继承，从左往右的规则搜索父类方法) +class student(people): + grade='' + + # 私有变量 + __private_attrs=0 + + def __init__(self,n,a,g): + people.__init__(self,n,a) + self.grade=g + + # 覆盖 + def speak(self): + print("{} speak age {} grade {}".format(self.name,self.age,self.grade)) + + # 析构函数 + def __del__(self): + pass + + # 打印 + def __repr__(self): + return "myAge:{age}".format(age=self.age) + +st = student('ak',16,'g3') +st.speak() +super(student,st).speak() # 调用父类已被覆盖的方法 +print(repr(st)) +``` + +> mirror: http://mirrors.aliyun.com/pypi/simple/ + +作用域： + +Python 中只有模块（module），类（class）以及函数（def、lambda）才会引入新的作用域，其它的代码块（如 if/elif/else/、try/except、for/while等）是不会引入新的作用域的，也就是说这些语句内定义的变量，外部也可以访问，如下代码： + +```python + +``` + +global 和 nonlocal关键字用于在指定作用域内修改全局或闭包外部作用域内的变量 + + + +### 标准库 [官方中文文档目录](https://docs.python.org/zh-cn/3.7/library/index.html) + +HTTP请求 + +```python +from urllib.request import urlopen +for line in urlopen('http://baidu.com'): + line = line.decode('utf-8') + print(line) + +# pip install requests +import requests + +requests=requests.get('http://baidu.com') +print(requests.content) +``` + + + +日志 + +```python +import logging + +logging.warning("warnmsg") + +log=logging.getLogger('sk') + +# logging.debug(msg, *args, **kwargs) +log.warning('hello') + +# 输出 日志级别:日志器名称:日志内容 +# 默认是指格式 BASIC_FORMAT "%(levelname)s:%(name)s:%(message)s" + +LOG_FORMAT = "%(asctime)s - %(levelname)s - %(message)s" +DATE_FORMAT = "%m/%d/%Y %H:%M:%S %p" +logging.basicConfig(filename='my.log', level=logging.DEBUG, format=LOG_FORMAT, datefmt=DATE_FORMAT) +log=logging.getLogger("filelog") +log.info("this is a log record") + +# 打印错误信息和堆栈 +logging.warning("Some one delete the log file.", exc_info=True, stack_info=True, extra={'user': 'Tom', 'ip':'47.98.53.222'}) +``` + + + +多线程 + +```python +from threading import Timer +import time + +# 定时 +def hello(): + print('hello') + +t=Timer(4.0,hello) +t.start() + +while True: + time.sleep(1) +``` + + + +数学库 + +| Quantum Computing | Statistical Computing | Signal Processing | Image Processing | Graphs and Networks | Astronomy Processes | Cognitive Psychology | +| ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | +| ![A computer chip.](https://numpy.org/images/content_images/sc_dom_img/quantum_computing.svg) | ![A line graph with the line moving up.](https://numpy.org/images/content_images/sc_dom_img/statistical_computing.svg) | ![A bar chart with positive and negative values.](https://numpy.org/images/content_images/sc_dom_img/signal_processing.svg) | ![An photograph of the mountains.](https://numpy.org/images/content_images/sc_dom_img/image_processing.svg) | ![A simple graph.](https://numpy.org/images/content_images/sc_dom_img/sd6.svg) | ![A telescope.](https://numpy.org/images/content_images/sc_dom_img/astronomy_processes.svg) | ![A human head with gears.](https://numpy.org/images/content_images/sc_dom_img/cognitive_psychology.svg) | +| [QuTiP](http://qutip.org/) | [Pandas](https://pandas.pydata.org/) | [SciPy](https://www.scipy.org/) | [Scikit-image](https://scikit-image.org/) | [NetworkX](https://networkx.org/) | [AstroPy](https://www.astropy.org/) | [PsychoPy](https://www.psychopy.org/) | +| [PyQuil](https://pyquil-docs.rigetti.com/en/stable) | [statsmodels](https://github.com/statsmodels/statsmodels) | [PyWavelets](https://pywavelets.readthedocs.io/) | [OpenCV](https://opencv.org/) | [graph-tool](https://graph-tool.skewed.de/) | [SunPy](https://github.com/sunpy/sunpy) | | +| [Qiskit](https://qiskit.org/) | [Xarray](https://xarray.pydata.org/en/stable/) | [python-control](https://python-control.org/) | [Mahotas](https://mahotas.rtfd.io/) | [igraph](https://igraph.org/python/) | [SpacePy](https://github.com/spacepy/spacepy) | | +| | [Seaborn](https://github.com/mwaskom/seaborn) | | | [PyGSP](https://pygsp.rtfd.io/) | | | +| Bioinformatics | Bayesian Inference | Mathematical Analysis | Chemistry | Geoscience | Geographic Processing | Architecture & Engineering | +| ![A strand of DNA.](https://numpy.org/images/content_images/sc_dom_img/bioinformatics.svg) | ![A graph with a bell-shaped curve.](https://numpy.org/images/content_images/sc_dom_img/bayesian_inference.svg) | ![Four mathematical symbols.](https://numpy.org/images/content_images/sc_dom_img/mathematical_analysis.svg) | ![A test tube.](https://numpy.org/images/content_images/sc_dom_img/chemistry.svg) | ![The Earth.](https://numpy.org/images/content_images/sc_dom_img/geoscience.svg) | ![A map.](https://numpy.org/images/content_images/sc_dom_img/GIS.svg) | ![A microprocessor development board.](https://numpy.org/images/content_images/sc_dom_img/robotics.svg) | +| [BioPython](https://biopython.org/) | [PyStan](https://pystan.readthedocs.io/en/latest/) | [SciPy](https://www.scipy.org/) | [Cantera](https://cantera.org/) | [Pangeo](https://pangeo.io/) | [Shapely](https://shapely.readthedocs.io/) | [COMPAS](https://compas.dev/) | +| [Scikit-Bio](http://scikit-bio.org/) | [PyMC3](https://docs.pymc.io/) | [SymPy](https://www.sympy.org/) | [MDAnalysis](https://www.mdanalysis.org/) | [Simpeg](https://simpeg.xyz/) | [GeoPandas](https://geopandas.org/) | [City Energy Analyst](https://cityenergyanalyst.com/) | +| [PyEnsembl](https://github.com/openvax/pyensembl) | [ArviZ](https://arviz-devs.github.io/arviz/) | [cvxpy](https://github.com/cvxgrp/cvxpy) | [RDKit](https://github.com/rdkit/rdkit) | [ObsPy](https://github.com/obspy/obspy/wiki) | [Folium](https://python-visualization.github.io/folium) | [Sverchok](https://nortikin.github.io/sverchok/) | +| [ETE](http://etetoolkit.org/) | [emcee](https://emcee.readthedocs.io/) | [FEniCS](https://fenicsproject.org/) | | [Fatiando a Terra](https://www.fatiando.org/) | | | + + + +- + + #### [NumPy](http://numpy.org/) + + 提供基础的N维数组 + +- [![scipy](https://www.scipy.org/_static/images/scipy_med.png)](https://www.scipy.org/scipylib/index.html) + + #### [SciPy library](https://www.scipy.org/scipylib/index.html) + + 科学计算基础包 + +- [![matplotlib](https://www.scipy.org/_static/images/matplotlib_med.png)](http://matplotlib.org/) + + #### [Matplotlib](http://matplotlib.org/) + + 综合的2D图形包 + +- [![ipython](https://www.scipy.org/_static/images/ipython.png)](http://ipython.org/) + + #### [IPython](http://ipython.org/) + + 增强的交互控制台 + +- [![sympy](https://www.scipy.org/_static/images/sympy_logo.png)](http://sympy.org/) + + #### [SymPy](http://sympy.org/) + + 符号数学 + +- [![pandas badge](https://www.scipy.org/_static/images/pandas_badge2.jpg)](http://pandas.pydata.org/) + + #### [pandas](http://pandas.pydata.org/) + + Data structures & analysis 数据结构化和分析工具 + + +