实时数据库InfluxDB的使用
InfluxDB介绍：
InfluxDB是一个开源的时序数据库，使用GO语言开发，特别适合用于处理和分析资源监控数据这种时序相关数据。而InfluxDB自带的各种特殊函数如求标准差，随机取样数据，统计数据变化比等，使数据统计和实时分析变得十分方便。在我们的容器资源监控系统中，就采用了InfluxDB存储cadvisor的监控数据。本文对InfluxDB的基本概念和一些特色功能做一个详细介绍，内容主要是翻译整理自官网文档，如有错漏，请指正。
Htop的安装和使用
一．Htop的使用简介
大家可能对top监控软件比较熟悉，今天我为大家介绍另外一个监控软件Htop，姑且称之为top的增强版，相比top其有着很多自身的优势。如下：
解决TensorFlow：ImportError: libcudnn.so.*: cannot open shared object file: No such file or dictionary
环境
Ubuntu16.04
Nvidia 384
CUDA 8.0
cuDNN 5
错误
TensorFlow、CUDA、cuDNN的版本关系我时常懵懵的，经常出现各种不支持的情况，比如今天安装了TensorFlow1.10.1，报错:ImportError: libcudnn.so.7: cannot open shared object file: No such file or dictionary
Redhat7解决This system is not registered to Red Hat Subscription Management.
错误描述：
This system is not registered to Red Hat Subscription Management. You can use subscription-manager to register.
解决步骤:
删除redhat原有的yum
rpm -aq|grep yum|xargs rpm -e --nodeps
下载yum安装文件
到这个网站去下载如下RPM包 ：http://mirrors.163.com/centos/7/os/x86_64/Packages/
基于JIRA的Scrum敏捷开发的项目管理
Scrum开发的步骤及准备
Scrum敏捷开发的关键字就是增量、迭代，他更重视项目团队之间的现场沟通，不向传统瀑布式开发那样需要万事具备，才开始开发，Scrum在大方向和小故事点确认好了后，团队就可以开动了。
How engineers learn efficiently? - 工程师如何高效学习？
介绍
最近团队内经常有工程师(尤其是工作经验浅的)会问我同一个问题：如何快速高效学习？大家似乎都很焦虑，渴望通过高效学习来提升自己，快速成长。基于自己的实践和思考，我总结了这篇文章，在周会上给团队分享，希望对大家有所启发。
Linux [re]install CUDA - Linux 安装和使用 CUDA
简便安装方法
此文档来源于Jermine的个人blog ： https://jermine.vdo.pub/linux/ubuntu-16.04-reinstall-cuda/
推荐两种玩法：
注意 ： 由于tensorflow的GPU版本依赖nvidia的cuda、cudnn库，因此一般需要包含cuda和cudnn的链接库文件，普遍做法是通过主机安装cudnn、cuda的方式。这里还有另外两种方式可以选择：
Vscode Markdown Shortcut Keys
使用VS Code的Markdown Shortcut插件，可以方便快捷的编辑Markdown文档，并且已经与上下文的菜单集成，右键即可使用。下面将介绍安装和使用。
Windows下python3.7安装tensorflow1
准备文件：
从这里下载windows的python3.7的tensorflow1.9安装包。
*注: 这个网站的whl文件是非python官方的windows二进制扩展包。
执行安装命令
PS C:\Users\Husee\Desktop> pip install .\tensorflow-1.9.0-cp37-cp37m-win_amd64.whl
Looking in indexes: http://mirrors.aliyun.com/pypi/simple
Processing c:\users\husee\desktop\tensorflow-1.9.0-cp37-cp37m-win_amd64.whl
Collecting termcolor>=1.1.0 (from tensorflow==1.9.0)
Downloading http://mirrors.aliyun.com/pypi/packages/8a/48/a76be51647d0eb9f10e2a4511bf3ffb8cc1e6b14e9e4fab46173aa79f981/termcolor-1.1.0.tar.gz
Requirement already satisfied: setuptools<=39.1.0 in c:\users\husee\appdata\local\programs\python\python37\lib\site-packages (from tensorflow==1.9.0) (39.0.1)
Collecting astor>=0.6.0 (from tensorflow==1.9.0)
Downloading http://mirrors.aliyun.com/pypi/packages/35/6b/11530768cac581a12952a2aad00e1526b89d242d0b9f59534ef6e6a1752f/astor-0.7.1-py2.py3-none-any.whl
Collecting protobuf>=3.4.0 (from tensorflow==1.9.0)
Downloading http://mirrors.aliyun.com/pypi/packages/77/78/a7f1ce761e2c738e209857175cd4f90a8562d1bde32868a8cd5290d58926/protobuf-3.6.1-py2.py3-none-any.whl (390kB)
100% |████████████████████████████████| 399kB 12.8MB/s
Collecting grpcio>=1.8.6 (from tensorflow==1.9.0)
Downloading http://mirrors.aliyun.com/pypi/packages/b1/0b/f46b579e65e11a1ddb0d2a19f458cac91ed71841fed39322e980fd58be44/grpcio-1.14.1-cp37-cp37m-win_amd64.whl (1.5MB)
100% |████████████████████████████████| 1.5MB 13.7MB/s
Collecting absl-py>=0.1.6 (from tensorflow==1.9.0)
Downloading http://mirrors.aliyun.com/pypi/packages/cc/e6/6cc5c834023685dd83a28bdb5c1826d9340111493a447e9a9230269defa8/absl-py-0.4.0.tar.gz (88kB)
100% |████████████████████████████████| 92kB 13.1MB/s
Collecting tensorboard<1.10.0,>=1.9.0 (from tensorflow==1.9.0)
Downloading http://mirrors.aliyun.com/pypi/packages/9e/1f/3da43860db614e294a034e42d4be5c8f7f0d2c75dc1c428c541116d8cdab/tensorboard-1.9.0-py3-none-any.whl (3.3MB)
100% |████████████████████████████████| 3.3MB 25.7MB/s
Requirement already satisfied: wheel>=0.26 in c:\users\husee\appdata\local\programs\python\python37\lib\site-packages (from tensorflow==1.9.0) (0.31.1)
Collecting numpy>=1.13.3 (from tensorflow==1.9.0)
Downloading http://mirrors.aliyun.com/pypi/packages/90/ca/fac7871a7c7d78beb78d7d9562b8d5bfce9ff316dc6c2a7ac34927895609/numpy-1.15.1-cp37-none-win_amd64.whl (13.5MB)
100% |████████████████████████████████| 13.5MB 12.6MB/s
Requirement already satisfied: six>=1.10.0 in c:\users\husee\appdata\local\programs\python\python37\lib\site-packages (from tensorflow==1.9.0) (1.11.0)
Collecting gast>=0.2.0 (from tensorflow==1.9.0)
Downloading http://mirrors.aliyun.com/pypi/packages/5c/78/ff794fcae2ce8aa6323e789d1f8b3b7765f601e7702726f430e814822b96/gast-0.2.0.tar.gz
Collecting werkzeug>=0.11.10 (from tensorboard<1.10.0,>=1.9.0->tensorflow==1.9.0)
Downloading http://mirrors.aliyun.com/pypi/packages/20/c4/12e3e56473e52375aa29c4764e70d1b8f3efa6682bef8d0aae04fe335243/Werkzeug-0.14.1-py2.py3-none-any.whl (322kB)
100% |████████████████████████████████| 327kB 34.2MB/s
Collecting markdown>=2.6.8 (from tensorboard<1.10.0,>=1.9.0->tensorflow==1.9.0)
Downloading http://mirrors.aliyun.com/pypi/packages/6d/7d/488b90f470b96531a3f5788cf12a93332f543dbab13c423a5e7ce96a0493/Markdown-2.6.11-py2.py3-none-any.whl (78kB)
100% |████████████████████████████████| 81kB 4.8MB/s
Building wheels for collected packages: termcolor, absl-py, gast
Running setup.py bdist_wheel for termcolor ... done
Stored in directory: C:\Users\Husee\AppData\Local\pip\Cache\wheels\65\c8\98\8361afe9bafba434b7acf14c08627560d63018272226ff3e10
Running setup.py bdist_wheel for absl-py ... done
Stored in directory: C:\Users\Husee\AppData\Local\pip\Cache\wheels\50\6f\41\ae7dbb65f38f6e607b399117e4cb959977e016d12b6166a67f
Running setup.py bdist_wheel for gast ... done
Stored in directory: C:\Users\Husee\AppData\Local\pip\Cache\wheels\17\0a\dc\bb6d7b129029482a8d55901d66b65e756a681f6a1da7297a9b
Successfully built termcolor absl-py gast
Installing collected packages: termcolor, astor, protobuf, grpcio, absl-py, numpy, werkzeug, markdown, tensorboard, gast, tensorflow
Successfully installed absl-py-0.4.0 astor-0.7.1 gast-0.2.0 grpcio-1.14.1 markdown-2.6.11 numpy-1.15.1 protobuf-3.6.1 tensorboard-1.9.0 tensorflow-1.9.0 termcolor-1.1.0 werkzeug-0.14.1
查看安装列表
PS C:\Users\Husee\Desktop> pip list
Package Version
----------------- -------
absl-py 0.4.0
astor 0.7.1
astroid 1.6.5
colorama 0.3.9
gast 0.2.0
grpcio 1.14.1
isort 4.3.4
lazy-object-proxy 1.3.1
Markdown 2.6.11
mccabe 0.6.1
numpy 1.15.1
pip 18.0
protobuf 3.6.1
pylint 1.9.2
setuptools 39.0.1
six 1.11.0
tensorboard 1.9.0
tensorflow 1.9.0
termcolor 1.1.0
torch 0.4.1
Werkzeug 0.14.1
wheel 0.31.1
wrapt 1.10.11
PS C:\Users\Husee\Desktop> pip -V
pip 18.0 from c:\users\husee\appdata\local\programs\python\python37\lib\site-packages\pip (python 3.7)
PS C:\Users\Husee\Desktop>
通过python调用tensorflow查看版本
python
Python 3.7.0b5 (v3.7.0b5:abb8802389, May 31 2018, 01:54:01) [MSC v.1913 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license" for more information.
>>> import tensorflow as tf
Traceback (most recent call last):
File "C:\Users\Husee\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\Husee\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 35, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\Husee\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 30, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "C:\Users\Husee\AppData\Local\Programs\Python\Python37\lib\imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "C:\Users\Husee\AppData\Local\Programs\Python\Python37\lib\imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: DLL load failed: 找不到指定的模块。
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:\Users\Husee\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\__init__.py", line 22, in <module>
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "C:\Users\Husee\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\__init__.py", line 49, in <module>
from tensorflow.python import pywrap_tensorflow
File "C:\Users\Husee\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 74, in <module>
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "C:\Users\Husee\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\Husee\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 35, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\Husee\AppData\Local\Programs\Python\Python37\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 30, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "C:\Users\Husee\AppData\Local\Programs\Python\Python37\lib\imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "C:\Users\Husee\AppData\Local\Programs\Python\Python37\lib\imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: DLL load failed: 找不到指定的模块。
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/install_sources#common_installation_problems
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
ImportError： DLL load failed：找不到指定的模块 解决方案（Python）：
首先检查numpy、scipy、matplotlib、scikit-learn的版本是否更新到最新且符合当前Python版本： 如果出现不是最新的版本，先卸载该版本：（windows+"."）pip uninstall numpy 再去http://www.lfd.uci.edu/~gohlke/pythonlibs/ 安装最新版本：（windows+"."）pip install numpy
通过Git规范和脚本自动生成release Notes
通过Git规范和脚本自动生成release Notes
第一性原理告诉我们，我们不但要用工具，还要能自己创造工具，这样才能提升生产力！ 创造的工具可以开源，让社区强大和优秀的人一起完善，很多牛X的工具就是这么来的，好的工具总得有人先把概念和第一行代码写出来牵个头，linux 、docker 、Kubernetes、tensorflow 、Git 等等 都是从概念和第一个demo 开始的，然后在社区引起共鸣才发展起来的！从问题本身出发，抛开常理逻辑，不落入俗套（套路），就是第一性原理要表达的意思，其实创新也是这样来的，Elon Mask 那种从0 到 1 的创造力就是来源于第一性原理。