Traceability development of blockchain
for example, the vonetracer traceability system of wangchain technology will upload all links of a commodity to the blockchain, and users can scan the QR code to know all the information of the commodity. Agricultural procts enterprises can avoid the possibility of counterfeiting by using this technology.
The three characteristics of blockchain are well known, that is, decentralization, transparency and non tampering. The tamper proof feature makes blockchain used in many places. Such as proct traceability, privacy protection and so on
because the proction process it traces back to is artificially uploaded, so even if it is tamperable data, the authenticity of the data can not be guaranteed, and the substantive problem still can not be solved
generally speaking, although blockchain has brought great benefits, it is not perfect after all. However, blockchain technology has promoted the development of the times, and I believe its future is worth looking forward to
In the heat wave of "embracing blockchain" in 2018, who can take the lead in finding application scenarios and launching landing projects has become the most important part of the competition
among them, traceability and anti-counterfeiting is considered to be one of the most promising areas for blockchain implementation, and also the first area for giants to compete for blockchain technology implementation. In China, Chongqing, Hangzhou and other cities have taken the lead in "testing" the application of blockchain in food traceability; Tmall, Jingdong and other e-commerce giants also use blockchain technology in their respective systems for traceability and anti-counterfeiting
What are the advantages of blockchain traceability compared with traditional traceability? What pain points can blockchain technology solve in the traceability and anti-counterfeiting business? Can blockchain technology open a new chapter of traceability and anti-counterfeiting business
Traceability is one of the important application scenarios of blockchain technology. For consumers, food safety is a matter of life and health, so we now have higher and higher requirements for the quality of food. Due to its non tamperability, blockchain technology can record the whole life cycle process of food in the whole process, which can make us eat more at ease
What are the blockchain technology traceability platforms in Cheng? Xiaobian collects the following information from Cheng's blockchain traceability platform: xtrace
according to the official website of LianBo technology, the proct has reached cooperation with Boshi quality control traceability. The project is a quality traceability system initiated by the provincial food quality and safety collaborative innovation center of Xihua University. LianBo technology has added the bottom layer of blockchain to its original traceability system, making all traceability information tamperable, easy to locate, and improving the reliability and credibility of the traceability system. At present, the traceability system has been connected with famous upstream and downstream brands such as wudongfeng, Dancheng and Jixuan
{rrrrrrr}
xinlianzhenpin of China Network Security
xinlianzhenpin launched by China Network Security united insurance company, testing company and e-commerce platform has been applied in Cheng kiwi fruit, ChouJu and other agricultural procts, providing reliable traceability services for high-quality agricultural procts
Sichuan rundi's fertilizer traceability
Sichuan Zhenxuan traceability
Sichuan Zhenxuan traceability makes full use of the combination of Internet technology and ecological agriculture, through the construction of proct base Internet online, in order to break the traditional concept of agricultural sales, consumers can fully understand the whole proction process
so the blockchain traceability platform in Cheng is about these. I believe blockchain traceability can develop better and better
Python learning path
the first stage is Python foundation and Linux database. This is the beginning stage of python, and also an important stage to help students lay a good foundation. You need to master Python basic syntax rules and variables, logic control, built-in data structure, file operation, advanced functions, moles, common standard library moles, functions, exception handling, MySQL use, coroutine and other knowledge points
learning objectives: master basic Python syntax and basic programming ability; Master the basic operation commands of Linux, master the advanced content of MySQL, and complete the projects of bank ATM system, English Chinese dictionary, lyrics parser, etc
the second stage is full web stack. In this part, you need to master HTML, CSS, JavaScript, jQuery, bootstrap, web development foundation, Vue, flag views, flag template, database operation, flag configuration and other knowledge
learning objectives: master the web front-end technology content, master the web back-end framework, skillfully use flash, tornado, Django, and complete the data monitoring background project
The third stage is data analysis + artificial intelligence. This part is mainly to learn the knowledge points related to crawler. You need to master the knowledge of data capture, data extraction, data storage, crawler concurrency, dynamic web page capture, scrapy framework, distributed crawler, crawler attack and defense, data structure, algorithm, etclearning objective: to master crawler, data acquisition, data organization and algorithm advanced and artificial intelligence technology. It can complete crawler attack and defense, image mosaic, movie recommendation system, earthquake prediction, artificial intelligence project and other stage projects
The fourth stage is advanced. This is a python advanced knowledge point. You need to learn project development process, deployment, high concurrency, performance tuning, go language foundation, blockchain introction, etclearning objectives: master the technology of automatic operation and maintenance and blockchain development, and complete the automatic operation and maintenance projects, blockchain and other projects
according to the python learning roadmap above, you can basically become a qualified Python development engineer. Of course, if you want to quickly become the elite talents of enterprises, you need good teachers to guide you, and you need more projects to accumulate practical experience
self learning itself is very difficult, and learning step by step is sure to be comprehensive and solid. If you want to learn which part, you can skip the targeted learning mole you don't need for the time being, and watch more different videos. Systematic learning usually takes 5-6 months
the default integrated scripting language under windows is batch processing,
then the default integrated scripting language under Linux is python.
nowadays, the popular AI and blockchain technologies often use python