For those who program in Python, they will be able to see the following construct within many codes, especially in the final part if __name__ == “__main__”: followed by a series of instructions enclosed in the indentation. What is it for? Why is it so common?
In this new article we will extend the concept of threading with a model widely used in software engineering: the Producer-Consumer model that we will implement using two threads. In particular we will develop a Pipeline for internal communication between the two threads.
In this article we will continue the Multithreading speech, introducing another very important tool: the Lock. Thanks to these, synchronization between the various threads can be managed more efficiently. We will also talk about another common problem in the thread world: deadlocks.
In this third part of the Thread in Python series, we will look at some aspects of multithreading. In fact, in fact, threads can be very different from each other and often recursion methods to create and manage them, such as for loops, can no longer be used. There are therefore tools that allow you to manage different threads like ThreadPoolExecutor. However, thread management remains a complex operation that, if not well managed, can lead to problems such as the Race Condition. In this article we will look at these two aspects in detail.
In this second part of the Thread in Python series, we will see how it is possible to influence the execution of multiple threads thanks to the use of Join.
Once the first phase of learning a programming language, such as Python, has been overcome, all the necessary foundations for the development of any program have been acquired. But going on to develop more complex programs and contributing to different projects, often together with other developers, you will have to learn a lot of other notions, such as Threads and the concept of Threading.
Among the SEO metrics it is often useful to know how many Plus are recognized for a particular site, or in more depth for a particular page that has been linked (either by the person concerned, but also by others) in some posts on Google+.
In all programming languages, data structure models are an important element for managing advanced programming. So it’s very important to be familiar with them and how to use them. Graphs are a very important data structure. Python does not have a primitive data structure to handle the graphs, so it is necessary to implement it. In this article you will see what are the graphs, their features, and how to implement some useful features for managing and manipulating the data inside
In this article, you will see in detail some of its features such as the graph degree and the degree sequence.
Python is a language that is processed in real time through an interpreter, also called Python. So there is no need to compile the code before executing it.