Bitcoin master

1. It's not worth it

bitcoin is no longer easy to dig, and it is much cheaper than before

maybe you can only dig for a few hours a day and lose money

even if you mine with a high configuration computer in your own home, it is estimated that you will consume a little more electricity, not counting the aging depreciation of the computer.

2. They are essentially the same, belong to the network virtual currency, but the way of birth is different, because the algorithm is different, so it leads to the difference of the total amount. Bitcoin is a kind of digital currency invented by Nakamoto Cong, which exists in the form of P2P. It realizes distributed accounting through blockchain technology. Due to its scarcity, its valuation is relatively high. Ethereum is a kind of digital token of Ethereum. Developers need to pay Ethereum to support the application. It was invented by a Chinese company based on bitcoin algorithm
if you want to understand the content of blockchain bitcoin, it is recommended to go to relevant websites to have a more comprehensive look, such as bitmaster and Babbitt forum.

3. [editor's note] some developers may still not understand how useful docker is to themselves, so this article will introce the use cases of docker in the development process of ordinary developers. Nowadays, docker has won a lot of attention. Many people think it is difficult to live up to its reputation because they still can't figure out the relationship between docker and ordinary developers. Many developers feel that docker is far away from themselves. Docker is a tool in the proction environment and has nothing to do with themselves. It took me a long time to figure out how to use docker in my own development as an ordinary developer. Frankly speaking, I am still in the process of learning. This article provides a list of docker use cases, which I hope will help you better understand docker and arouse your thinking. This article only describes the daily application of docker in ordinary developers, and does not provide a complete solution. Before introcing use cases, I hope you can remember this sentence: "docker is a portable application container". You may not know what docker means by "portable container", but you must know that docker can bring great efficiency improvement in daily life. When you need to run your own application (of course, any application) in the container, docker provides a basic system image as the basic system for running the application. In other words, any application on Linux system can run in docker. Can I run the database in docker? Certainly. Can I run node.js web server in docker? Certainly. Can I run API server in docker? Certainly. Docker doesn't care what your application is or does. Docker provides a set of methods for application packaging, transmission and deployment, so that you can better run any application in the container. I often use the following examples myself. Of course, you can share better examples with me. To try new software, it is necessary for developers to try all kinds of new technologies, but developers are not likely to build a good environment and test them one by one. Time is very precious. Thanks to docker, we can build the environment in one or several commands. Docker has a foolproof way to get software. The background of docker will automatically get the environment image and run the environment. It's not just about building a new technology environment to get docker. If you want to quickly run a MySQL database or a redis message queue on your laptop, you can do it very easily with docker. For example, docker only needs one command to run MySQL database: dockerrun-d-p3306:3306tutum / MySQL. Translator's note: Although MySQL database can be installed very quickly by using commands, docker is a very good choice when using the latest technology or very complex technology. For example, gitlab takes ordinary users about one day to build gitlab platform, while docker only needs one command. Now I often need to do one or two demonstrations to customers and others with my own development results on weekends. The process of building demonstration environment is very troublesome. Now I find that docker has become the most reasonable way for me to demonstrate these tools. Meanwhile, for customers as like as two peas, I can directly provide Docker images to them without having to do any work of environmental configuration, and the effect will be exactly the same as they can see in their presentation, without worrying about their environmental configuration that will cause our procts to be unable to run. Avoid "I can run on my machine." this is mentioned in both the enterprise deployment docker described in the previous article and the personal docker use case in this article. Because of the different environment configuration, many people will encounter this situation in the development, and even the developed software can not run on the tester's machine. But that's not the point. The point is that if we had a reliable and distributable standard development environment, our development would not be as painful as it is now. Docker can solve this problem. Docker image will not be unable to run because of the change of environment, nor will it have different running results on different computers. It can submit docker images containing applications to testers, so that "it can run on my machine" will no longer happen, which greatly reces the time cost of developers and testers checking machine environment settings with each other. Another area where docker can be useful is training classes. In addition to the isolation of docker container, we can realize that the advantage of docker lies in environment construction. Everyone who is new to the training class has to spend a lot of time on setting up the environment, but if docker is applied here, we just need to distribute the standard running environment image, and then we can start the class. Using docker is as simple as using virtual machine, but docker is more convenient and lightweight. At the same time, we can also tell the students: "at the same time of training, we will also learn the most popular technology - docker". This win-win outcome, why not. Learning Linux scripts may seem strange, but it's a good opportunity for people who are not familiar with Linux operating system and shell scripts. Even if this article is not about Linux, the importance of Linux is still self-evident. If you are using windows, then I give you a suggestion: rent a virtual machine from the virtual machine provider: I recommend using the virtual machine of coreos system. Although this will not let you become a professional Linux operation and maintenance, it can let you quickly learn the basic knowledge of Linux, fall in love with the command line operation, and graally start to be familiar with and appreciate Linux. To make better use of resources, the granularity of virtual machine is "virtual machine", while the granularity of docker is "restricted application". Comparatively speaking, docker occupies less memory and is more lightweight. For me, this is an advantage of docker: because I often run multiple docker applications on my own computer, using docker is simpler, more convenient and more granular than using virtual machine, and can continuously track the state of containers. If you've been following technology news, you've heard of the concept of "microservices.". Docker can be well combined with micro services. Conceptually, a microservice is a part of the function that provides a whole set of applications. Docker can always act as a container for microservices in the process of development, testing and deployment. Even the proction environment can deploy micro services in docker. Migrating between cloud service providers, most of the cloud host providers have fully supported docker. For developers, this means that you can easily switch cloud service providers, and of course, you can also easily move your local development environment to the virtual machine. There is no need to configure the local running environment and the running environment on the virtual machine once. Fully deploying docker (docker here and docker there) as a standard running environment can greatly rece the workload and generate bugs when the application is online.

4. Bitcoin has no economic entity support and no trade volume support. Sooner or later, something will happen. It's speculation. It's a game of playing drums and spreading flowers. Hope to adopt

5. It's too late for you to dig bitcoin now. Now it's time to fill the hole and leave a way for yourself