Shulou(Shulou.com)06/02 Report--

In this issue, the editor will bring you about the simple and easy-to-operate Python tools. The article is rich in content and analyzed and described from a professional point of view. I hope you can get something after reading this article.

Python language is a kind of easy to learn and powerful interpretive programming language. It has concise syntax, efficient high-level data structure, and can realize object-oriented programming simply and effectively. The following focuses on the specific content of Python tools.

You can see Eclipse everywhere these days, and almost everyone knows it. Eclipse has become a tool for developing everything. Eclipse, which had a branch in PHP last year, is now moving into Ajax, and this summer it will dabble in SOA development tools.

Compilability is not lacking in the Eclipse basic office. Eclipse changed the nature of how to conceive and build applications, adding concepts such as flexibility and convergence, and quickly became a favorite of many programmers in the development industry. In fact, in addition to the traditional comfortable development environment, Eclipse is very successful in many areas, and it makes developers feel easy to use. What is more noteworthy is that Eclipse is not exclusive to the developers of a particular platform. Its evaluation in the development community is absolute.

Take service-oriented architecture as an example, it is just a way to do things, an oriented theme setting. SOA is created and managed as a service / application, and the ultimate goal of Eclipse is to complete shared functions. We often talk about theory.

Those theoretical "SOA terminals", in fact, Eclipse can achieve complete sharing, eliminating its own redundancy. It can then be seamlessly connected to the application development part. Eclipse meets the needs of SOA very well. It brings modularity to work. At the recent 2007 Eclipse conference, Eclipse will dabble in Ajax and its platforms and frameworks.

And some descriptive languages, such as toolkits for Ruby and Python. There is another thing that makes Eclipse get a lot of attention. It will introduce Ajax tools and become part of the application environment. If you want to integrate Web services that use many different functions, Eclipse can provide you with a toolkit that allows you to drag these functions together. These will be set up in the SOA tool this summer.

It is often difficult to understand or predict the random behavior of the actual system. It is sometimes possible to accurately demonstrate the statistical characteristics of the system (such as general, worst, and * * performance characteristics). But at other times, the defects of the specific design will be revealed only when the system is actually running (or simulated). In this article, David discusses SimPy, a Python package that allows you to easily model discrete event systems.

When I met Klaus Miller, one of the founders of the SimPy package, I learned about the package from him. Dr. Miller has read several articles suggesting the use of Python 2.2 +. Generator implements semi-collaborative routines and "portable" threading techniques for a lovely Python column. In particular (to my delight), he found these techniques useful when implementing Simula-67-style simulations with Python.

It turns out that Tony Vignaux and Chang Chui have previously created another Python library, which is conceptually closer to Simscript, and uses standard threading techniques rather than my semi-collaborative routines. When working together, the team decided that generator-based styles were much more effective, and recently launched a project to use GPL on SourceForge.

It's called SimPy (see Resources for a link to the SimPy home page) and is currently in beta beta. Professor Vignaux wants him to use a unified SimPy package for future university teaching at Victoria University in Wellington (University of Victoria).

I believe the library is also very suitable for all kinds of practical problems. I admit that before the recent communication and research, I did not have any basic knowledge of simulation in the field of programming. I guess most readers of this column, like me, know very little about this.

Although some people may think that this style of programming is somewhat novel, simulation is useful in understanding the behavior of actual systems with limited resources. Whether you are interested in limited bandwidth networks, car traffic behavior, market and commercial optimization, biological / evolutionary interactions, or other "random" systems, SimPy provides simple Python tools for such modeling.

I admit that before the recent communication and research, I did not have any basic knowledge of simulation in the field of programming. I guess most readers of this column, like me, know very little about this. Although some people may think that this style of programming is a bit novel.

But simulations are useful when understanding the behavior of real systems with limited resources. Whether you are interested in limited bandwidth networks, car traffic behavior, market and commercial optimization, biological / evolutionary interactions, or other "random" systems, SimPy provides simple Python tools for such modeling.

I will use the fairly simple example of a payment area with multiple channels in a grocery store. By using the simulation demonstrated, we can ask questions based on the economic and waiting time implications of various changes to scanner technology, shopper habits, staffing requirements, and so on.

The advantage of this modeling is that it allows you to develop a strategy in advance when you have a clear idea of the meaning of the changes you have made. Obviously, most readers will not specialize in running a grocery store, but these technologies can be widely used in a variety of systems.

These are the simple and easy-to-operate Python tools that Xiaobian shares with you. If you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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