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The relationship between blockchain and go
Publish: 2021-05-11 23:42:28
1. Go full stack + blockchain course:
a total of 22 weeks, divided into five stages,
the first stage is 4 weeks, go language foundation and network concurrency, learning the introctory go language,
the second stage is 4 weeks, go language practical web development, crawler development, cryptography, consensus algorithm, realizing lightweight public chain, learning the website and crawler that can develop golang, Achieve lightweight blockchain
stage 3, 4-week Ethereum source code analysis and smart contract DAPP development, master Ethereum core and smart contract development, as well as blockchain,
stage 4, 4-week super ledger, bitcoin EOS, source code analysis and smart contract practice, master super ledger development, cat bitcoin, bifurcated EOS after learning, As well as DAPP development of smart contract
phase 5, 6-week project practice, five enterprise level projects, and one year of blockchain project experience after learning
from the characteristics of the language itself, go is a very efficient language, which highly supports concurrency. Go language itself pays more attention to distributed system, and concurrency processing is relatively good, such as advertising and search, That kind of high concurrency server
go language advantages:
excellent performance, can be directly compiled into machine code, does not rely on other libraries, go is extremely fast. Its performance is similar to Java or C + +
concurrency is supported at the language level, which is the biggest feature of go. It is born to support concurrency, and go is the concurrency supported in gene, which can make full use of multi-core and make it easy to use concurrency
the built-in runtime supports garbage collection, which is one of the features of dynamic language. Although GC is not perfect at present, it is enough to cope with most of the situations we can encounter, especially GC after go1.1
it's easy to learn. The authors of go language all have the gene of C, so go naturally has the gene of C. There are 25 go keywords, but the expressive ability is very strong. It almost supports most of the features you've seen in other languages: inheritance, overloading, object, etc
rich standard libraries, go has built a large number of libraries, especially the network library, which is also my favorite part< As like as two peas, br / > built-in powerful tools, Go language is built with many tools chain, the best should be gofmt tools, automatic formatting code, make team review become so simple, code format is exactly the same, it is very difficult to think differently.
cross platform compilation and fast compilation. Compared with the sluggish compilation speed of Java and C + +, the fast compilation time of go is a major efficiency advantage
disadvantages of go language:
package management: package management of go language is absolutely not perfect. By default, it has no way to make a specific version of the dependency library, nor can it create replicable builds. In contrast, python, node and Ruby all have better package management systems. However, with the right tools, the package management of go language can also perform well
lack of development framework: go language does not have a major framework, such as Ruby's rails framework, Python's Django framework or PHP's laravel. This is a heated discussion in the go language community, because many people think that we should not start with using frameworks. This is true in many cases, but if you just want to build a simple crud API, it's much easier to use Django / djrf, rails laravel, or Phoenix
exception handling: go language can help developers deal with compilation errors by simply returning errors (or call stack) through functions and expected calling codes. Although this method is effective, it is easy to lose the scope of the error, so it is difficult to provide meaningful error information to users. Error package can solve this problem by allowing us to add context and stack trace to return error
another problem is that we may forget to handle errors. Static analysis tools such as errcheck and megacheck can avoid these errors. Although these solutions are very effective, they may not be the right way.
a total of 22 weeks, divided into five stages,
the first stage is 4 weeks, go language foundation and network concurrency, learning the introctory go language,
the second stage is 4 weeks, go language practical web development, crawler development, cryptography, consensus algorithm, realizing lightweight public chain, learning the website and crawler that can develop golang, Achieve lightweight blockchain
stage 3, 4-week Ethereum source code analysis and smart contract DAPP development, master Ethereum core and smart contract development, as well as blockchain,
stage 4, 4-week super ledger, bitcoin EOS, source code analysis and smart contract practice, master super ledger development, cat bitcoin, bifurcated EOS after learning, As well as DAPP development of smart contract
phase 5, 6-week project practice, five enterprise level projects, and one year of blockchain project experience after learning
from the characteristics of the language itself, go is a very efficient language, which highly supports concurrency. Go language itself pays more attention to distributed system, and concurrency processing is relatively good, such as advertising and search, That kind of high concurrency server
go language advantages:
excellent performance, can be directly compiled into machine code, does not rely on other libraries, go is extremely fast. Its performance is similar to Java or C + +
concurrency is supported at the language level, which is the biggest feature of go. It is born to support concurrency, and go is the concurrency supported in gene, which can make full use of multi-core and make it easy to use concurrency
the built-in runtime supports garbage collection, which is one of the features of dynamic language. Although GC is not perfect at present, it is enough to cope with most of the situations we can encounter, especially GC after go1.1
it's easy to learn. The authors of go language all have the gene of C, so go naturally has the gene of C. There are 25 go keywords, but the expressive ability is very strong. It almost supports most of the features you've seen in other languages: inheritance, overloading, object, etc
rich standard libraries, go has built a large number of libraries, especially the network library, which is also my favorite part< As like as two peas, br / > built-in powerful tools, Go language is built with many tools chain, the best should be gofmt tools, automatic formatting code, make team review become so simple, code format is exactly the same, it is very difficult to think differently.
cross platform compilation and fast compilation. Compared with the sluggish compilation speed of Java and C + +, the fast compilation time of go is a major efficiency advantage
disadvantages of go language:
package management: package management of go language is absolutely not perfect. By default, it has no way to make a specific version of the dependency library, nor can it create replicable builds. In contrast, python, node and Ruby all have better package management systems. However, with the right tools, the package management of go language can also perform well
lack of development framework: go language does not have a major framework, such as Ruby's rails framework, Python's Django framework or PHP's laravel. This is a heated discussion in the go language community, because many people think that we should not start with using frameworks. This is true in many cases, but if you just want to build a simple crud API, it's much easier to use Django / djrf, rails laravel, or Phoenix
exception handling: go language can help developers deal with compilation errors by simply returning errors (or call stack) through functions and expected calling codes. Although this method is effective, it is easy to lose the scope of the error, so it is difficult to provide meaningful error information to users. Error package can solve this problem by allowing us to add context and stack trace to return error
another problem is that we may forget to handle errors. Static analysis tools such as errcheck and megacheck can avoid these errors. Although these solutions are very effective, they may not be the right way.
2.
blockchain technology is not only the underlying technology of bitcoin, but also the core and infrastructure of bitcoin bitcoin has been running without any centralized organization operation and management. Later, bitcoin technology was abstracted, which was called blockchain technology or distributed ledger technology
extended data:
disadvantages of blockchain technology applied to digital currency:
first, there is no circulation management organization for "decentralization" blockchain technology is essentially a distributed database system with one-way linked list logic structure and P2P network design mode, which determines that there is no unified central control system for virtual currency based on blockchain technology
Second, it is difficult to effectively control the quantity supply the circulation of virtual currency based on blockchain technology is fixed, and according to Fisher Equation, the total transaction volume of the whole society under a certain price level in a certain period has a certain proportion with the required nominal currency volume, while the constant currency volume obviously can not meet the requirements of the growing total price of social goods Thirdly, "mining mechanism" is difficult to create recognized value bitcoin itself has no value and no national credit support. Some people think that "by continuously consuming computing power and energy to inject value into virtual currency", but it is obviously not the most efficient choice to consume millions of calculations in order to find a hash value that meets the requirements Fourthly, procers and early holders are easy to get high seigniorage any virtual currency based on blockchain technology is held by a few people at the initial stage of its development. Take bitcoin as an example. At first, bitcoin was only a proct of a few people's game. The first bitcoin purchase in May 2010 was $10000 BTC's purchase of $25 pizza. The first bitcoin transaction completed in July of the same year was $0.04/btc3. Go language and blockchain are involved in the fields of upper application development of blockchain, lower system development of blockchain, high concurrency server, web and micro service development, distributed development, etc. Go language and blockchain focus on the underlying system of blockchain, which is more in-depth
what I know is that smart podcasting has set up this subject, and some of them will have supporting materials and free courses, so you can go and have a look.
what I know is that smart podcasting has set up this subject, and some of them will have supporting materials and free courses, so you can go and have a look.
4. This is determined by your programming level. At present, the level of domestic programmers is basically a pyramid structure, and most of them are middle-level programmers. From this point of view, it is basically impossible for most people to learn functional programming. One of the most important reasons for choosing go is that a middle-level programmer can write very good go code. The main reason is that go language is very simple, features are very few, and the official class library is very rich. Most programmers can easily start to develop it. Chain33 blockchain developer platform, a well-known domestic open source project, is completely completed by go. There are many mature blockchain technologies in China, such as micro three cloud, etc., which will not be repeated here.
5. The common point between AI and blockchain
blockchain focuses on keeping accurate records, authentication and execution, while AI helps to make decisions, evaluate and understand certain patterns and data sets, and ultimately proces autonomous interaction. AI and blockchain share several characteristics, which can ensure seamless interaction in the near future. Three main features are listed below
1. AI and blockchain need data sharing
distributed database emphasizes the importance of data sharing among multiple clients on a specific network. Similarly, AI relies on big data, especially data sharing. The more open data available for analysis, the more accurate the prediction and evaluation of the machine, and the more reliable the generated algorithm
2. Security
when dealing with high-value transactions on the blockchain network, there are great requirements for the security of the network. This can be implemented through existing agreements. For artificial intelligence, the autonomy of the machine also needs high security, in order to rece the possibility of catastrophic events
3. Trust is a necessary condition
for any widely accepted technological progress, there is no greater threat than the lack of trust, and artificial intelligence and blockchain cannot be ruled out. In order to make the communication between machines more convenient, we need to have an expected trust level. In order to execute certain transactions on the blockchain network, trust is a necessary condition
the impact of blockchain and artificial intelligence on ordinary people
in short, blockchain is a community-based technology, which can make value exchange more secure. Blockchain is just like its name. Each block contains an encrypted transaction record. The blocks are arranged in chronological order, and the security is guaranteed by a cryptographic system. Blockchain is a technology that can change rules, and its emergence is a revolutionary innovation
there are many functions of blockchain, and the specific application is also very wide. For example: if blockchain is used in the food instry, people will no longer worry about eating harmful food. If blockchain is used for diamond proction, consumers will no longer have to worry about buying fake diamonds. If the blockchain is used in the ecation instry, intellectual property protection can be strengthened. If the blockchain is used in the insurance instry, it can alleviate the information asymmetry of the insurance business and help to improve the security of the insurance business
the impact of blockchain and artificial intelligence on ordinary people is enormous. Just imagine, if blockchain and artificial intelligence are combined, will their role expand? Yes, the combination of the two can really have more impact to change the lives of ordinary people
blockchain and artificial intelligence are two extremely important roles in the field of technology, which bring convenience to our proction and life. If we find an intelligent way to make them work together, the impact of their interaction is unimaginable. This is also the core of OMT. After the combination of these two technologies, the future application scenarios are revolutionary and exciting. In the new ecological construction, data storage, sharing mechanism, platform problems, security problems, etc. can be overcome by using each other's technologies. OMT will create maximum value for global users and enterprises and bring more convenience to ordinary people through blockchain + artificial intelligence technology
the answer is over, hope to adopt, thank you!
blockchain focuses on keeping accurate records, authentication and execution, while AI helps to make decisions, evaluate and understand certain patterns and data sets, and ultimately proces autonomous interaction. AI and blockchain share several characteristics, which can ensure seamless interaction in the near future. Three main features are listed below
1. AI and blockchain need data sharing
distributed database emphasizes the importance of data sharing among multiple clients on a specific network. Similarly, AI relies on big data, especially data sharing. The more open data available for analysis, the more accurate the prediction and evaluation of the machine, and the more reliable the generated algorithm
2. Security
when dealing with high-value transactions on the blockchain network, there are great requirements for the security of the network. This can be implemented through existing agreements. For artificial intelligence, the autonomy of the machine also needs high security, in order to rece the possibility of catastrophic events
3. Trust is a necessary condition
for any widely accepted technological progress, there is no greater threat than the lack of trust, and artificial intelligence and blockchain cannot be ruled out. In order to make the communication between machines more convenient, we need to have an expected trust level. In order to execute certain transactions on the blockchain network, trust is a necessary condition
the impact of blockchain and artificial intelligence on ordinary people
in short, blockchain is a community-based technology, which can make value exchange more secure. Blockchain is just like its name. Each block contains an encrypted transaction record. The blocks are arranged in chronological order, and the security is guaranteed by a cryptographic system. Blockchain is a technology that can change rules, and its emergence is a revolutionary innovation
there are many functions of blockchain, and the specific application is also very wide. For example: if blockchain is used in the food instry, people will no longer worry about eating harmful food. If blockchain is used for diamond proction, consumers will no longer have to worry about buying fake diamonds. If the blockchain is used in the ecation instry, intellectual property protection can be strengthened. If the blockchain is used in the insurance instry, it can alleviate the information asymmetry of the insurance business and help to improve the security of the insurance business
the impact of blockchain and artificial intelligence on ordinary people is enormous. Just imagine, if blockchain and artificial intelligence are combined, will their role expand? Yes, the combination of the two can really have more impact to change the lives of ordinary people
blockchain and artificial intelligence are two extremely important roles in the field of technology, which bring convenience to our proction and life. If we find an intelligent way to make them work together, the impact of their interaction is unimaginable. This is also the core of OMT. After the combination of these two technologies, the future application scenarios are revolutionary and exciting. In the new ecological construction, data storage, sharing mechanism, platform problems, security problems, etc. can be overcome by using each other's technologies. OMT will create maximum value for global users and enterprises and bring more convenience to ordinary people through blockchain + artificial intelligence technology
the answer is over, hope to adopt, thank you!
6. Bbgo starts from a mine and provides a new generation of blockchain application Incubation Platform for global entrepreneurs and R & D teams. Bbgo makes use of the decentralized characteristics of blockchain to build a VC market blockchain that realizes the autonomy of blockchain investment instry, breaks instry barriers and allows small and medium investors to participate in the whole instrial chain of blockchain investment
7. No, after all, it's a new movie
8. How can I buy the equity of Asian dollar legal digital currency? It depends on whether the joint-stock companies that set up currency issuance have sold their digital currencies?
9. Unknown_Error
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