it's really inefficient to learn a thing in a hierarchical way, and you'll get stuck frequently when you actually build a Web site or web App with JavaScript. In general, this learning approach makes it hard to know how to use language as a tool-as a personal tool.In addition, one might suggest starting with JavaScript in the language of JavaScript, written by the venerable JavaScript godfather Douglas Crockford. However, although Mr. Crockford knows JavaScript, and is known as the JavaScript W
Codecademy
The best place to learn and develop, provide js,html,css,php,python,ruby,apis tutorials, clean and tidy interface, step-by-Step guide you to learn knowledge, very suitable for beginners. also provide experimental
CODE SCHOOL
Offers Ruby, JavaScript, html/css iOS development teaching, very interesting instructional guidance.
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COD
The teaching modules provided by the CODEHS website are as follows:
Html/css
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The content of the CODEHS Web site is very much in line with the needs of beginners, the basic membership program is 25 U.S. dollars one months, after paying to have access to all training materials permission.
Mozilla School of Webcraft
Mozilla School of Webcrafts is a free online web development learning site that provides tutorials on the
, once the multi-tasking to a limit, it will consume all the resources of the system, resulting in a sharp decline in efficiency, all tasks are not good.
Compute-intensive vs. IO-intensive
The second consideration with multitasking is the type of task. We can divide the task into compute-intensive and IO-intensive.
Com
/O blocking is equivalent to work for workers to provide the necessary raw materials, workers work in the process if there is no raw materials, the workers need to work to stop the process until the arrival of raw materials.If your factory is doing most of the tasks of preparing raw materials (I/O intensive), then you have more workers, the meaning is not enough, it is not as much as a person, in the course of materials to let workers to do other work
When processing a lot of IO logic or thinking about background computing, we will use concurrency. There are two types of concurrency: computing-intensive and IO-intensive.
1.Computing-intensive:If we regard the processing in the thread as a task, computing-intensive means that this task is mainly used to process computing and logic. In other words, it is mainly
number of operations in the program that do not require the CPU (IO), it is suitable for the association process;What the hell is a 5 Gil lock?What we call a Python global Interpretation lock (GIL) is simply a mutex (or lock) that allows only one thread to control the Python interpreter.This means that only one thread is in the execution state at any one point in time. The Gil has no significant impact on the programs that perform single-threaded tasks, but it becomes a performance bottleneck f
language cut to mathematics, to clean up the table of Chinese books, pens (this is called the preservation site), and then open the math textbook, find the compass ruler (this is called to prepare a new environment), to start doing math homework. The operating system is the same when switching processes or threads, it needs to save the current execution of the field environment (CPU register status, memory pages, etc.), and then prepare the execution environment of the new task (restore the las
language cut to mathematics, to clean up the table of Chinese books, pens (this is called the preservation site), and then open the math textbook, find the compass ruler (this is called to prepare a new environment), to start doing math homework. The operating system is the same when switching processes or threads, it needs to save the current execution of the field environment (CPU register status, memory pages, etc.), and then prepare the execution environment of the new task (restore the las
language cut to mathematics, to clean up the table of Chinese books, pens (this is called the preservation site), and then open the math textbook, find the compass ruler (this is called to prepare a new environment), to start doing math homework. The operating system is the same when switching processes or threads, it needs to save the current execution of the field environment (CPU register status, memory pages, etc.), and then prepare the execution environment of the new task (restore the las
multiple cores can be computed in parallel, so multicore boosts compute performance by 3. Once each CPU encountered I/O blocking, still need to wait, so much check I/O operation is useless. A worker is the equivalent of a CPU, at which time the calculation is equivalent to the worker working, I/O blocking is equivalent to the work of the workers to provide the necessary raw materials, workers in the process without raw materials, The worker's work process needs to be stopped until the arrival o
solve this problem, we need to agree on several points:# 1. Is the CPU used for computing, or is it used for I/O? #2. Multi-CPU, which means that multiple cores can be computed in parallel, so multicore boosts compute performance #3. Once each CPU encounters I/O blocking, it still needs to wait, so check i/ O operation is of no useA worker is equivalent to the CPU, at this time the calculation is equivalent to workers in the work, I/O blocking is equivalent to work for workers to provide the n
problem, we need to agree on several points:# 1. Is the CPU used for computing, or is it used for I/O? #2. Multi-CPU means that multiple cores can be computed in parallel, so multicore boosts compute performance #A worker is equivalent to the CPU, at this time the calculation is equivalent to workers in the work, I/O blocking is equivalent to work for workers to provide the necessary raw materials, workers work in the process if there is no raw materials, the workers need to work to stop the p
of the same process, and the process can only perform control on the child process. 6. Changes to the main thread (cancellation, priority changes, and so on) may affect the behavior of other threads of the process, and changes to the parent process do not affect the child process.3, the advantages of multithreadingMultithreading is the same as multi-process, where multiple threads are opened in one process1) Multithreading share the address space (resource) of a process2) threads are more light
Introduction to modern Batch and computational-intensive programming models
Brief introduction
A batch process is a traditional and indispensable component of any enterprise IT domain. The current batch development trend is to apply internal Java skills to online programs and batch programs to ensure that:
Maximize the reuse of implementations.
Easier development and maintenance because the same toolset is used.
Consistency in the implementation
, so multi-core boosts compute performance. Once each CPU encounters I/O blocking, it still needs to wait, so it's useless to check I/O operations more
A worker is equivalent to the CPU, at this time the calculation is equivalent to workers in the work, I/O blocking is equivalent to work for workers to provide the necessary raw materials, workers work in the process if there is no raw materials, the workers need to work to stop the process until the arrival of raw materials.
If your factory
decline in efficiency, all tasks are not good.3 , compute-intensive vs. IO IntensiveThe second consideration with multitasking is the type of task. We can divide the task into compute-intensive and IO-intensive .3.1 , compute-intensiveto do a lot of computing, consumption of CPU resources, such as the calculation of pi, video, such as HD decoding, all rely on th
Let's talk a little bit about Python threads.Refer to this article https://www.zhihu.com/question/23474039/answer/24695447In short, as probably the only multi-threaded interpreted language (Perl multithreading is disabled, PHP is not multi-threading), Python multithreading is compromise, at any time only a Python interpreter in the interpretation of Python bytecode. Ruby also has thread support, and at least Ruby MRI has a Gil.The first thing to know about GIL, full nameGlobal Interpreter Lock。后
Last year, OpenAI and DeepMind teamed up to do the coolest experiments of the time, without the classical reward signals to train the agents, but rather a new approach to reinforcement learning based on human feedback. There is a blog dedicated to this experiment learning from Human Preferences, the original paper is "deep reinforcement learning from Human Preferences" (based on the human preferences of depth enhancement learning).Link:https://arxiv.org/pdf/1706.03741.pdf With some deep
is relatively simple, and in the pipeline production process, every worker only performs simple and fixed operations, but there is little difference between them. Physical labor is not affected by people's emotions and environment, but only by the fatigue of the human body. Therefore, for labor-intensive industries, precise project management and financial management can be implemented. The production management rules are simple and there are not man
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