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This uses a breadth-first search algorithm.,If you want to learn completely, you still have to find the information yourself.,Here's a word about this.。 dx and dy are coordinate offsets, often used in grid maps or chessboard searches, where the 8 elements are used to enumerate the adjacent 8 points around a point (x,y-1),(x-1,y),(x-1,y),(x-1,y+1),(x,y-1),(x,y+1),(x+1,y-1),(x+1,y),(x+1,y+1),(x+1,y+1),e.g. (x,y) The first adjacent point is (x+dx[0],y+dy[0]. ])。 A little bit about **:
visit[;Point (, marked as visited.)
now=;Take out the point at the head of the line.
printf("%d %d %d",for(int i=0;i<8;i++) enumerates the surrounding 8 points with a loop.
next=now;
x and y are added to the offsets to get a newly expanded point.
if(>=0&&
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This is a wide search, eligible to join the team expansion node, and keep looping until the team is empty.
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The so-called framework is a large number of classes that have been written, so to speak. In addition to a large number of classes, there may be some rules, such as naming, paths, etc. If this rule is followed, the methods provided by the framework library are called.
In addition, the framework has nothing to do with open source or not, open source just means that you can get the source of the framework, and what is not open source just can't see the source.
Like what. .NET itself is not open source, but there are many frameworks that are, such as the most well-known servicestack
Open source and free are different concepts, open source software has many different kinds of licenses, some can be modified and used at will, some can be used in non-commercial projects, and some need to be paid.
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The same language, no need to switch. Don't worry, just ignore it boldly. What you can't ignore will jump in front of your eyes, and then you will know the difference. It's a question that doesn't need to be thought about at all.
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It mainly depends on what you learn the programming language for. If you are involved in artificial intelligence, it is recommended to consider learning Python as a programming language. Old boys are still relatively good.
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In fact, you can learn some basic programming languages first, such as C. c++。c or something. If you learn these things, it will be very easy to learn other things.
Or you can learn some visual
basic,visual
foxbase
Something like that. These are simpler and more practical.
And you don't need to study deeply, it's very simple, as long as you know a little English, you can learn it.
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Of course, the reason why there are different programming languages now is because different application scenarios require different language features, which are most directly reflected in the syntax.
A lot of things in programming languages, such as: data type int double strings, etc.; if else, while, etc.; Common data structures and algorithms, such as sorting, stacking, queues, trees, etc.; Design patterns, such as singleton patterns, factory patterns, etc.; Inheritance, polymorphism, etc. in object-oriented languages... are all similar, but there are some differences in syntax implementation.
The program is the instruction that controls the work of the computer hardware, the syntax of the program is the writing rules of the instruction, and different programming languages will eventually be compiled into the same instruction**-machine code, but the compilation result of different programs is a bunch of machine code with different organizational sequences, just like the same stacked blocks (underlying general machine code instructions), with different stacking methods (different organizational orders).
In fact, in the process of solving practical problems through programming, many solutions are also interoperable, such as: how to design the structure will be more conducive to the maintenance, expansion, performance improvement, etc., which requires the use of algorithm design related things, try to pursue the optimization of computing time and memory, as well as some knowledge and experience of design patterns.
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The algorithms are all interoperable, but the implemented sentences are slightly different, as long as you can master one linguistics, other languages will also be bypassed.
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Yes, in terms of logical interoperability, the rules of the sentence are different for each language.
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Python is one of the most widely used programming languages in the field of artificial intelligence due to its simplicity and ease of use, and it can be used seamlessly with data structures and other commonly used AI algorithms.
The reason why Python is suitable for AI projects is that many useful libraries based on Python can be used in AI, such as Numpy provides scientific computing power, Scypy provides advanced computing power, and PyBrain machine learning.
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Learning Python development needs to start with basic syntax, because the Python syntax structure is relatively simple, so even people who do not have programming foundation can master Python programming relatively smoothly. In addition, using Python for AI development also requires learning several common libraries, including numpy, matplotlib, scipy, pandas, etc., and proficient use of these libraries can significantly improve the efficiency of development.
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If you want to learn artificial intelligence, I recommend that you use C programming language is betterC, which is one of the best programming languages.
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Artificial intelligence and deep learning are just forms of algorithms, which can be used in any language, and now the mainstream ones are C++ and Python, and both languages also have their own corresponding toolboxes. If you want to do research, you can also use MATLAB.
If you want to use a GPU, you need to be able to use CUDA and CUDNN
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What programming language is better for artificial intelligence? I think programming with a computer is the best option.
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There are still many programming languages used in artificial intelligence, and the key is what direction you want to use it, such as robots, mobile phones, or some other intelligent machines.
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Learn artificial intelligence with this JS, PHP, you can program the language.
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Just use computer language, it's convenient, fast, usable, and operable.
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In the case of artificial intelligence, it is better to use C language or C plus plus language in the programming language, which is more susceptible.
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At this time, AI programming doesn't know what to do.
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What programming language is better to use to learn artificial intelligence? I think uh, artificial intelligence is a more magical, and it is a more professional learning project, and it should be better to learn in a more professional language.
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There is programming software on the Internet, and the programming software used by many people on the market is relatively good, so it is recommended.
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