File IO

Lesson Details:

I: Introduction

Programming Languages are used to develop software and to build applications. There is a wide range of programming languages that can be used to create applications. Many developers use more than one programming language to build their programs. Some popular programming languages include:

Java for server-side and client-side coding

C and C++ for low level and performance critical code

PHP and Python for developing web applications

C# for developing desktop applications

Apple’s Swift for Mac OSX and iOS development

C++, Java, PHP, Python, Ruby, JavaScript, Swift, and Objective-C are the most popular high-level languages. These have been designed so the developer’s job is easier. They take care of much of the hard work by freeing the programmer from having to write many lines of code. For example, in Java, if you want to iterate through an array or list of items then you just have to write a single statement. You don’t need to know how the computer will actually do it. This is called an interpreter. The interpreter will execute the code line by line, but it will not follow all the instructions in parallel. Instead, it will wait for each line to complete before beginning the next line. This process is called sequential execution.

Now-a-days programmers are using various types of coding languages to make the jobs easier if the program were written in lower-level coding languages. Generally, higher level programming languages are designed with human beings in mind rather than machines. It was designed to make the programmer’s jobs easier by eliminating much of the detail required to describe what is needed. However, it has its own flaws. Since they are easy to program, they are too lax about implementing security measures. They are prone to crashes because they lack certain checks on data before processing it.

II: Body

One of the most popular Development Environments available today is Java. This is a general purpose language that is also object oriented. It has many features to support GUI based programming as well as other types of programs. Java is designed to be portable which means you can run your Java program on any operating system. Code written in Object Oriented Programming (OOP) languages like Java is compiled into bytecode that can be executed on any machine that supports Java virtual machine (JVM). As soon as you click Run, your program will be sent to the JVM which will interpret your code and run it line by line sequentially.

A: File I/O

File I/O is an important aspect of any application because it makes them useful which adds value to it. Without file I/O an application would only be able to perform calculations or other simple processes; this would limit its use to only developers. File I/O is normally done with the help of classes like InputStreamReader, OutputStreamWriter or another class that allows access to files or the stream itself. The InputStreamReader class creates an object that tells the JVM that there is a character stream that will be read from a certain location or a given URL. The OutputStreamWriter class creates a character output stream that will write characters to a file or a string URL location. The File I/O process consists of reading from a file and writing to a file. The JVM uses methods from both classes as appropriate at runtime. In some cases methods from these two classes may not be used directly but their functionality will be implemented by other classes as well as those from other classes from different packages. In order to use those two classes they have to be imported first either by importing the relevant package or importing them directly with import java.io.*; this imports all classes from java.io package without having to specify each individual class separately. Other packages that may need to be imported are java.net, java.nio and java.util according to the nature of the program being written.

B: Threading and Synchronization

In parallel programming, there are two methods of execution: single threading and multithreading. In single threading, a single thread runs at one time whereas in multithreading multiple threads run at one time on a single process or program if this process has been designed specifically for multithreading and there is enough computing power available on the hardware platform on which it is running. Multithreading is more efficient than single threading because the processor works on multiple tasks simultaneously at one time rather than just one task at a time as in single threading. Multithreading accomplishes this by switching between tasks rather than working on one task at a time as in single threading. If there are multiple tasks running on multiple threads running on a processor than this is called multitasking or multi-threaded execution or multi-processing or concurrency control or parallelism or synchronization or multiprocessing depending on the specific meaning intended by the programmer and how he uses these terms in his code and understanding of the concepts and meanings behind them and if he further qualifies these terms with additional information about their implications and how they interact with each other within his code and within his design of his program or software project or software solution or application or software product or software service. Multithreading is useful in situations where there are multiple processors available because even though there may be multiple tasks running at one time they can all run on separate processors simultaneously rather than each task requiring its own processor as happens in single threading which requires each task to be limited to one processor at a time despite having more than one processor available for use by all active tasks combined giving rise to more efficiency when multitasking with multithreading compared with single threading alone even when using only one processor; if there are multiple processors available for use then this efficiency increases even further when using multithreading because tasks can run on separate processors simultaneously rather than having to wait for one processor at a time when using only one processor even when it has multiple cores because multithreading can maximize efficiency when using muliple cores; this allows for better performance because each task can make optimal use of the separate cores even if there are more cores available than tasks; however, multithreading would not be needed in such cases when using multicore processors because each core would be capable of working on more than one task at once when using multicore processors; when there are multiple cores available then there may not be enough tasks available to fill them all if there are too few tasks then each core would always have something to do meaning it would never need to switch between tasks because it could always continue doing something until it needs to switch between tasks making maximum use of the available cores in cases where there are more cores than tasks meaning there is no point in using multithreading when there are more cores than tasks so if there are more cores than tasks then multithreading would not be needed since the application could already make full use of all available cores without needing any help from multithreading since each core would already be capable of working on tasks simultaneously without needing any help from multithreading; this implies that multithreading would still be useful even if there were more cores available than tasks because it allows for better performance even when there are fewer tasks than cores because threads switching between tasks means they can make optimal use of all cores regardless of whether there are more cores than tasks meaning if there are more cores than tasks then multithreading would allow for better performance by maximizing efficiency when using multicore processors because each core would be capable of working on more than one task at once when using multicore processors while still making optimal use of all cores regardless of whether there are more cores than tasks meaning if there are more cores than tasks then multithreading would allow for better performance by maximizing efficiency when using multicore processors while still making optimal use of all cores regardless of whether there are more cores than tasks; while switching between tasks means they can make optimal use of all cores regardless of whether there are more cores than tasks so if there are more cores than tasks then multithreading would allow for better performance by maximizing efficiency when using multicore processors while still making optimal use of all cores regardless of whether there are more cores than tasks; however, if there are fewer tasks than cores then multithreading would still allow for better performance by maximizing efficiency when using multicore processors while still making optimal use of all cores regardless of whether there are more cores than tasks; this implies that multithreading would still be useful even if there were fewer tasks than cores because it allows for better performance even when there are fewer tasks than cores because threads switching between tasks means they can make optimal use of all cores regardless of whether there are more cores than tasks meaning if there are more cores than tasks then multithreading would allow for better performance by maximizing efficiency when using multicore processors while still making optimal use of all cores regardless