本人DO计划体系导航 - Trello

#
# qmake configuration for win32-msvc2008
#
# Written for Microsoft VC2005.NET
#

MAKEFILE_GENERATOR      = MSVC.NET
TEMPLATE                = app
CONFIG                  += qt warn_on release incremental flat link_prl precompile_header autogen_precompile_source copy_dir_files debug_and_release debug_and_release_target embed_manifest_dll embed_manifest_exe
QT                      += core gui
DEFINES                 += UNICODE WIN32 QT_LARGEFILE_SUPPORT
QMAKE_COMPILER_DEFINES  += _MSC_VER=1500 WIN32

QMAKE_CC                = cl
QMAKE_LEX               = flex
QMAKE_LEXFLAGS          =
QMAKE_YACC              = byacc
QMAKE_YACCFLAGS         = -d
QMAKE_CFLAGS            = -nologo -Zm200 -Zc:wchar_t-
QMAKE_CFLAGS_WARN_ON    = -W3
QMAKE_CFLAGS_WARN_OFF   = -W0
QMAKE_CFLAGS_RELEASE    = -MT
QMAKE_CFLAGS_RELEASE_WITH_DEBUGINFO += -MT -Zi
QMAKE_CFLAGS_DEBUG      = -Zi -MDd
QMAKE_CFLAGS_YACC       =
QMAKE_CFLAGS_LTCG       = -GL
QMAKE_CFLAGS_MP         = -MP

QMAKE_CXX               = $QMAKE_CC
QMAKE_CXXFLAGS          = $QMAKE_CFLAGS
QMAKE_CXXFLAGS_WARN_ON  = $QMAKE_CFLAGS_WARN_ON -w34100 -w34189
QMAKE_CXXFLAGS_WARN_OFF = $QMAKE_CFLAGS_WARN_OFF
QMAKE_CXXFLAGS_RELEASE  = $QMAKE_CFLAGS_RELEASE
QMAKE_CXXFLAGS_RELEASE_WITH_DEBUGINFO += $QMAKE_CFLAGS_RELEASE_WITH_DEBUGINFO
QMAKE_CXXFLAGS_DEBUG    = $QMAKE_CFLAGS_DEBUG
QMAKE_CXXFLAGS_YACC     = $QMAKE_CFLAGS_YACC
QMAKE_CXXFLAGS_LTCG     = $QMAKE_CFLAGS_LTCG
QMAKE_CXXFLAGS_MP       = $QMAKE_CFLAGS_MP
QMAKE_CXXFLAGS_STL_ON   = -EHsc
QMAKE_CXXFLAGS_STL_OFF  =
QMAKE_CXXFLAGS_RTTI_ON  = -GR
QMAKE_CXXFLAGS_RTTI_OFF =
QMAKE_CXXFLAGS_EXCEPTIONS_ON = -EHsc
QMAKE_CXXFLAGS_EXCEPTIONS_OFF =

QMAKE_INCDIR            =
QMAKE_INCDIR_QT         = $[QT_INSTALL_HEADERS]
QMAKE_LIBDIR_QT         = $[QT_INSTALL_LIBS]

QMAKE_RUN_CC            = $(CC) -c $(CFLAGS) $(INCPATH) -Fo$obj $src
QMAKE_RUN_CC_IMP        = $(CC) -c $(CFLAGS) $(INCPATH) -Fo$@ {1}lt;
QMAKE_RUN_CC_IMP_BATCH  = $(CC) -c $(CFLAGS) $(INCPATH) -Fo$@ @<<
QMAKE_RUN_CXX           = $(CXX) -c $(CXXFLAGS) $(INCPATH) -Fo$obj $src
QMAKE_RUN_CXX_IMP       = $(CXX) -c $(CXXFLAGS) $(INCPATH) -Fo$@ {1}lt;
QMAKE_RUN_CXX_IMP_BATCH = $(CXX) -c $(CXXFLAGS) $(INCPATH) -Fo$@ @<<

QMAKE_LINK              = link
QMAKE_LFLAGS            = /NOLOGO
QMAKE_LFLAGS_RELEASE    = /NODEFAULTLIB:msvcrt.lib /INCREMENTAL:NO
QMAKE_LFLAGS_RELEASE_WITH_DEBUGINFO = /NODEFAULTLIB:msvcrt.lib /DEBUG /OPT:REF
QMAKE_LFLAGS_DEBUG      = /DEBUG
QMAKE_LFLAGS_CONSOLE    = /SUBSYSTEM:CONSOLE
QMAKE_LFLAGS_WINDOWS    = /SUBSYSTEM:WINDOWS \"/MANIFESTDEPENDENCY:type=\'win32\' name=\'Microsoft.Windows.Common-Controls\' version=\'6.0.0.0\' publicKeyToken=\'6595b64144ccf1df\' language=\'*\' processorArchitecture=\'*\'\"
QMAKE_LFLAGS_DLL        = /DLL
QMAKE_LFLAGS_LTCG       = /LTCG

QMAKE_LIBS_CORE         = kernel32.lib user32.lib shell32.lib uuid.lib ole32.lib advapi32.lib ws2_32.lib
QMAKE_LIBS_GUI          = gdi32.lib comdlg32.lib oleaut32.lib imm32.lib winmm.lib winspool.lib ws2_32.lib ole32.lib user32.lib advapi32.lib
QMAKE_LIBS_NETWORK      = ws2_32.lib kernel32.lib user32.lib advapi32.lib gdi32.lib crypt32.lib
QMAKE_LIBS_OPENGL       = glu32.lib opengl32.lib gdi32.lib user32.lib
QMAKE_LIBS_COMPAT       = advapi32.lib shell32.lib comdlg32.lib user32.lib gdi32.lib ws2_32.lib

QMAKE_LIBS_QT_ENTRY     = -lqtmain

QMAKE_MOC               = $[QT_INSTALL_BINS]\\moc.exe
QMAKE_UIC               = $[QT_INSTALL_BINS]\\uic.exe
QMAKE_IDC               = $[QT_INSTALL_BINS]\\idc.exe

QMAKE_IDL               = midl
QMAKE_LIB               = lib /NOLOGO
QMAKE_RC                = rc

QMAKE_ZIP               = zip -r -9

QMAKE_COPY              = copy /y
QMAKE_COPY_DIR          = xcopy /s /q /y /i
QMAKE_MOVE              = move
QMAKE_DEL_FILE          = del
QMAKE_DEL_DIR           = rmdir
QMAKE_CHK_DIR_EXISTS    = if not exist
QMAKE_MKDIR             = mkdir

VCPROJ_EXTENSION        = .vcproj
VCSOLUTION_EXTENSION    = .sln
VCPROJ_KEYWORD  = Qt4VSv1.0
load(qt_config)

Qt的gcc命令配置

TEMPLATE = app
CONFIG += console
CONFIG -= app_bundle
CONFIG -= qt

SOURCES += main.cpp


INCLUDEPATH += /usr/local/include/opencv
LIBS += -L/usr/local/lib \
    -lopencv_shape -lopencv_stitching -lopencv_objdetect \
    -lopencv_superres -lopencv_videostab -lopencv_calib3d \
    -lopencv_features2d -lopencv_highgui -lopencv_videoio \
    -lopencv_imgcodecs -lopencv_video -lopencv_photo \
    -lopencv_ml -lopencv_imgproc -lopencv_flann -lopencv_core

Qt的openCV编译配置

vim 配置

vim 难记的快捷键

ctrl+e & ctrl+y: 页面滚动

tab --> 4 blank spaces.

:set ts=4
:set expandtab
:%retab!

ctags 难记的快捷键

Ctrl+ ] and Ctrl+ T 进入函数，跳出函数

vim /etc/hostname

关闭Google"阻止了登陆尝试"方法, 其余设备也能登陆Gmail等谷歌服务

http://blog.csdn.net/sabrecode/article/details/50460382

python环境切换

source activate py27

文件夹的权限添加

sudo chown -R unsw:unsw /usr/local/

打开disk的运行权限

Ubuntu下面挂载windows NTFS格式分区没有可执行权限

端口杀死

lsof -i :8081  
列出8081谁在用，而后杀掉，腾出地方。
kill -9 <PID>

Reference

滴滴出行 | 海量数据背后的高可用架构

关于编程ing的测试，极其重要！从两处增强：

*.h
googletest
qt creator analysis

未整理

至关不错的技术栈学习计划。

招人啦：一家低调内涵型的大数据&AI创业公司在上海北京招聘多个职位，欢迎自荐和推荐，简历可直接发我[嘿哈]

上海招聘spark大数据开发工程师、机器视觉软件研发工程师、和前端开发工程师，地点徐家汇附近；

北京招聘Hadoop运维工程师，地点东三环中央电视台；

前端开发工程师（上海）

一、计算机或相关专业本科以上学历；

二、3 年以上 WEB 前端开发经验，精通 WEB 开发技术；

三、熟练使用 D3.js 或相似库，而且熟悉 Canvas、SVG 底层接口，具有复杂的 Canvas、SVG 图形交互数据可视化开发能力；

四、熟练掌握 Javascript、jQuery、CSS、Bootstrap 等技术；

五、与后台工程师协做，完成数据交互、动态信息展示等功能；

六、负责公司产品的部分界面设计、编辑及美化工做；

七、工做积极、主动，责任心强。

Spark 大数据开发工程师（上海）：

岗位职责：

一、有一年以上大数据开发经验、熟悉 Hadoop 平台；

二、熟悉用 Scala 作 Spark Streaming 和 Spark MLlib 的相关开发；

三、熟悉 Java，有过 Java 架构师经验；

四、熟悉 NoSQL（HBase/Redis），有过 HBase/Hive 调优优先；

五、有系统设计经验；

六、较好的沟通理解能力，性格乐观，态度踏实，积极上进。

岗位要求：

一、根据需求规划、设计、构建大型数据分析应用平台；

二、基于 Spark Streaming 和 Spark MLlib 完成数据挖掘和机器学习的工做；

三、用 Scala 语言开发应用程序及平台框架；

四、根据需求使用 Spark Streaming、Spark SQL 进行数据处理、查询，统计等工做

机器视觉软件研发工程师(上海)

职位描述：

1. 图像/视频处理算法的研发及实现；

2. 参与团队机器视觉应用系统的架构设计及开发工做；

3. 从事图像/视频处理应用项目开发，包括客户需求总结、系统设计、编码实现、调试等各个环节；

4. 为系统现有算法设计高性能计算的GPU解决方案。

职位要求：

1. 2年相关行业系统软件开发工做经验或硕士以上学历；

2. 熟悉或精通图像处理及机器视觉的基础理论、系统（软硬件）设计和架构及算法，2年以上程序设计和系统开发经验；

3. 熟悉深度学习编程；

4. 具有GPU并行加速程序的编写能力，有OpenCL、CUDA编程经验者优先；

5. 有较强的快速学习能力，主动和创新意识、有独立分析解决问题的能力；

6. 善于沟通，富有团队合做精神、极强的敬业精神和优秀的心理素质；

7. 可以独立撰写设计和开发文档，能熟练应用英语。

Hadoop 运维工程师（北京）

岗位描述：

一、负责公司大数据业务集群的运维工做（Hadoop/Hbase/Hive/Yarn/Spark 等），确保高可用

二、负责集群容量规划、扩容及性能优化等；

三、负责 Hadoop 和其余各业务线系统的平常监控、数据备份、数据监控、报警、故障处理；

四、研究大数据业务相关运维技术，持续优化运维技术方案和集群服务架构。

岗位要求：

一、大专及以上学历，有 2 年以上大数据或数据仓库运维经验；

二、熟悉 Hadoop/Hbase/Hive/Zookeeper/Spark 等开源项目；

三、有良好的计算机和网络基础，熟悉 Linux 操做系统的配置、管理及优化，可以独立排查及解决操做系统层面的问题；

四、至少具有一种开发语言能力（Python/Java/shell）；

五、强烈的责任心与上进心可以吃苦耐劳、抗压能力强

六、良好的沟通和协调能力

Jobs:

(1)

http://www.mortarstudios.com

3D AR应用。

(2)

http://hyperanna.com/

金融分析。

java服务器	基本的back-end服务搭建，以及如何连接amazon api	只需最基本的要求
python工程实践	基于机器学习的全部相关编程经验	能够考虑结合kaggle，达到精英级别，积累代码
Android摄像头	react native的摄像头相关的编程	代码积累
神经网路识别	模型实践	自定义识别经验积累
python金融数据编程	过一遍书，写成英文博客。	wordpress，github

Big Data Engineer - 4 Month Contract - ETL Focus with AWS Glue/Talend

Ideally, you will have strong experience doing ETL (AWS Glue 是一项彻底托管的提取、转换和加载 (ETL) 服务) with huge data sets, using tools such as Talend or AWS Glue. In addition, experience with Python, Linux, Shell scripting, Spark and other technologies in the Hadoop ecosystem will be valuable.

This team is responsible for working alongside a leading team of machine learning and data scientists to deliver analytics projects to large enterprises, such as Australia's biggest banks, insurance companies, telcos and retailers. The specific big data engineer contract is to assist with the ETL and data pipeline build with very large data sets.

You should have good knowledge of SQL datawarehouse environments and big data such as; Hadoop, Spark, hdfs, Hive, AWS, Talend/Informatica/AWS Glue, Teradata, amongst other enterprise data warehouse and big data tech.

Work Rights: Must have valid Australian Work Rights

Interviews and Start date: ASAP

Mode: PAYG or PTY Ltd

AI Engineer - Computer Vision

In this role, you will help us build novel architectures for classifying and understanding complex and dynamic visual environments. You will have access to the best sensor data in the world, and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding.

We're looking for engineers with advanced degrees and experience building perception pipelines that work with real data in rapidly changing and uncertain environments.

An ideal candidate would be also interested in working on broader artificial intelligence implementations, primarily new algorithms for reinforcement learning in real-world applications.

Qualifications

- BS or MS degree in computer science or related field
- Fluency in Python
- Experience with modern computer vision techniques
- Experience with programming and algorithm design
- Demonstrated ability to create functional realtime systems that solve difficult perception tasks
- Experience handling large data sets efficiently
- Strong mathematics skills and understanding of probabilistic techniques

Additional qualifications

- Experience with autonomous robots/robotics
- Fluency in C/C++
- Experience with realtime sensor fusion (e.g. lidar, camera, radar)
- Experience with novel pipelines and architectures for convolutional neural nets
- Experience with 3D data and representations (pointclouds, meshes, etc.)

ABOUT Remi

Remi is an Artificial Intelligence firm working on a wide range of complex projects in both industry and academia. Remi aims to bring the next generation of A.I Research and Solutions to market. We're looking for top talent that shares our love of A.I and wants to be part of a fast-paced, growing, and ambitious team.

Data Scientist, Energy - Digital McKinsey

Job description

Qualifications

MBA or related superior academic achievement in a GEM-related field (such as oil & gas, petrochem, power, mining or similar) is strongly preferred
5+ years of experience in progressively leadership roles within the oil & gas, power or mining industry, ideally including logistics, scheduling and maintenance and supporting information technology
Deep knowledge and expertise in the application of advanced technologies in GEM sector
Strong knowledge of the competitive landscape
Familiarity with the use of algorithms, machine learning, data architecture and technology systems deployed in GEM sector related value chains, and how to translate them into business decisions.
Strong critical thinking and problem-solving skills
Ability to influence
Excellent presentation skills, including strong verbal and writing capabilities

Who You'll Work With

You’ll be based in one of our Australian offices and will be a part of Digital McKinsey, working closely our Global Energy & Materials (GEM) practice.

Digital McKinsey brings together the best of McKinsey’s digital capabilities to help our clients use digital technology to transform their businesses. As part of this group, you’ll join a global team working on everything from IT modernization and strategy to agile, cloud, cybersecurity, and digital transformation.

You’ll typically work on projects across all industries and functions and will be fully integrated with the rest of our global firm.You’ll also work with colleagues from across McKinsey & Company to help our clients deliver breakthrough products, experiences, and businesses, both on technology and non-technology topics.

Our office culture is casual, fun and social, with an emphasis on education and innovation. We have the freedom to try new ideas, experiment and are expected to be constantly learning and growing. There is also a strong emphasis on mentoring others in the group, enabling them to grow and learn.

What You'll Do

You will play a key consultative and client-facing role in the development of big data and advanced analytics as a refined, yet evolving, capability of our client teams who advise the top firms in the Global Energy & Materials (GEM) sector.

In this role you will visualize and articulate the possibilities that analytics and digital present within these industry sectors, generating a feeling of excitement and opportunity with our clients. You will have the opportunity to apply solutions in one or more areas, such as predictive maintenance, yield improvement, big data strategy, technological innovation and related areas. You will be expected to bring a recognized and unique knowledge of core business drivers within oil & gas, power and mining sector, including applying data and analytics.

You will exhibit depth of knowledge in advanced analytics, including knowing how to “translate” complex data into easily digestible action items within a business context, external and internal audiences. You will work closely with other data scientists and other analytics focused consultants to build digital solutions, leveraging strong working knowledge of value levers and digital capabilities.

Front End Software Engineer, Chrome OS

Google

As a Front End Software Engineer at Google, you will specialize in building responsive and elegant web applications that scale to millions of users in dozens of languages.
In this role, you will work on Chrome OS, an open source and lightweight operating system designed for speed, simplicity and security, and Chromebooks, a newer, faster computer running Chrome OS as its operating system.
Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From AdWords to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another.
Responsibilities
Design and implement new user-facing features in Google’s products.
Write client-side code for web-based applications, creating fast, easy-to-use, high volume production applications.
Optimize web applications to maximize speed and scale.
Collaborate on scalability issues involving data.
Qualifications

Minimum qualifications:
BA/BS degree in Computer Science or related technical field, or equivalent practical experience.
Experience in web technologies (object-oriented JavaScript, HTML, CSS) and experience with HTML5 and CSS3.
Experience in software development; experience developing web-based applications.
Software development experience in one or more general purpose programming languages.

Preferred qualifications:
Master's Degree or PhD in related field.
Understanding of algorithms and data structures, and their time and space performance
Excellent problem-solving, analytical and troubleshooting skills; ability to work with minimum guidance.

Everything here starts from 2011

优先级低

Android计划书：

[Android] 手机开发博客导航

函数式编程与RxJava（附demo）【设计模式的必要性】

Android 插件框架机制之预热篇【理解框架】

最好的5个Android ORM框架【理解框架】

Android 必须知道2018年流行的框架库及开发语言，看这一篇就够了！【各类功能框架】

软件工程计划书：

本人实践体系导航

Android开发中常见的设计模式【结合设计模式教程】

Resource【待搬迁】

Android:

https://github.com/hieuapp/android-firebase-chat【已测试，没voice message】

firebase/functions-samples【官网：功能demo列表，看上去很强大】

Voice message相关:

Iphone:

https://github.com/relatedcode/RealtimeChat【功能全，可检测】

Home | BitTiger - 官网

【面试中】系统设计怎么考？系统设计题怎么答？ - 系统设计方法

正则表达式判断数字：(整数和浮点)

Regular Expression approach: Check if a given string is a valid number (Integer or Floating Point) in Java

PYTHON

Python的两种退出方式

python的两种退出方式

推荐方式：

import sys

try:
    sys.exit(0)
except:
    print 'die'
finally:
    print 'cleanup'

Python-OpenCV形态学处理

Python下opencv使用笔记（六）（图像的形态学转换）

python-opencv的博客，有必要撸一遍！谢谢！

OpenCV-Python教程

OpenCV-Python中文教程

Python文件IO处理

python获取当前路径

python os 命令，及判断文件夹是否存在

展现了os模块列表。

Python判断文件和文件夹是否存在的方法

文件和文件夹是否存在、建立文件夹、权限判断等。

python计算程序运行时间

在 Unix 系统中，建议使用 time.time()，
在 Windows 系统中，建议使用 time.clock()。

Python传参

python函数传参是传值仍是传引用？

Python调试技巧

Python中使用logging模块代替print

# 记录log
logging.debug(...)
logging.info(...)
logging.warn(...)
logging.error(...)
logging.critical(...)

未整理

打印数组内的原始信息

n = int( input() )

print(*range(1, n + 1), sep="")

Ref: https://www.hackerrank.com/challenges/python-print/tutorial

一个组合：map(<lambda>, <List>)

N = int( input() )
A = [0,1]
for i in range(2,N): A.append(A[i-1]+A[i-2])        
print map(lambda a: a*a*a, A)[:N]

与reduce比较：可见这是一个pre-result做为当前参数的一种迭代方式。

from functools import reduce

def add(x, y) :            # 两数相加
    return x + y

>>> reduce(add, [1,2,3,4,5])   # 计算列表和：1+2+3+4+5
15
>>> reduce(lambda x, y: x+y, [1,2,3,4,5])  # 使用 lambda 匿名函数
15

二者的结合

def charToNumber(s):
    def charToNum(str):
        return int(str)
    def numToNumber(x,y):
        return x+y
    return reduce(numToNumber,list(map(charToNum,s)))

print(charToNumber('345789'))

正则表达式筛选邮件地址

import re
mailList = list()

for i in range(int(input())):
    mailLst.append(input())

print ( sorted(list( filter(lambda x: re.search(r'^[\w\d-]+@[A-Za-z0-9]+\.\w?\w?\w$', x), mailList) )) )

filter: 理解为只接受“返回true/false”函数的map；
re.search(pattern, string, flags)
正则表达式：30分钟入门教程

JAVA

时间操做

实例讲解String Date Calendar之间的转换

多态

C++和java多态的区别

C++中，若是父类中的函数前边标有virtual，才显现出多态。

若是父类func是virtual的，则

Super *p =new Sub();
p->func(); // 调用子类的func

若是不是virtual的，p->func将调用父类原来的函数。

Java中，无论写不写virtual都是多态的，子类的同名函数会override父类的。

本人DO计划体系导航 - Trello

优先级高

c++ 并行机器学习

1、三个月内完成

2、今年尽可能过一遍

前言

教学资源

环境配置

文章导航

个人工具箱

Ubuntu Kernel

Qt-creator