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During program designing there may be situation when we need to repeat a block of statement for n number of times; instead of writing it with the help of goto statement we can use looping statements. In looping, a sequence of statements is executed until some conditions for termination of the loop is satisfied. A program loop therefore consists of two segments, one known as body of loop and other known as the control statement. The control statement tests certain conditions and then directs the repeated execution of the statements contained in the body of the loop. Depending on the position of the control statement in the loop, a control structure may be classified as the entry-controlled loop or as the exit-controlled loop. In entry-controlled loop, the control conditions are tested before the start of the loop execution. If the conditions are not satisfied, then the body of the loop is not executed. Also known as pre-test loop. In exit-controlled loop, the test is performed at the end of the body of the loop and therefore the body is executed unconditionally for the first time. Also known as post-test loop.
cybersecurity is a subset of information security that deals with protecting an organization's internet-connected systems from potential cyberattacks; and network security is a subset of cybersecurity that is focused on protecting an organization's IT infrastructure from online threats.Network security consists of the policies, processes and practices adopted to prevent, detect and monitor unauthorized access, misuse, modification, or denial of a computer network and network-accessible.
Python is emerging as a programming tool for machine learning and artificial neural network. Both lead to Artificial Intelligence. Other benefits of python are: Good quality documentation, Platform agnostic, Easy and fast to learn in comparison to any other OOP (object oriented programming) language. Python has many image intensive libraries like Python Imaging Library, VTK and Maya 3D Visualization Toolkits, Numeric Python, Scientific Python and many other tools available for numeric and scientific applications.Python is very well designed, fast, robust, portable, and scalable. These are evidently the most important factors for AI applications. Useful for a really broad range of programming tasks from little shell scripts to enterprise web applications to scientific uses. Last but not the least, it is Open Source! Good community support available for the same.
Programming is more than just getting the syntax right. Style and debugging also play a tremendous part in creating programs that run well and are easy to maintain. This book teaches you not only the mechanics of programming, but also describes how to create programs that are easy to read, debug, and update. Practical rules are stressed. For example, there are fifteen precedence rules in C (&& comes before || comes before ?:). The practical programmer reduces these to two: Multiplication and division come before addition and subtraction etc.
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