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Languages have been a part of human history since time immemorial; the fact that this facet of existence has been interlinked with humans for long, has made ‘languages’ in all its forms and variables, more or less a part of innate human nature. The underlying factor behind the conception of language itself is the intrinsic need for communication in all living things. Animals and plants, like humans, have their own patterns of communication through which they lead their existence and utilize the intricacies of this phenomenon at almost all times in order to gauge as well as conduct to their natural instincts. Without languages and or communication, the existence of all living things would falter in ways unimaginable. Furthermore, the importance of languages is highlighted by the basic need to connect to other beings around us. Having no connection to other beings around us would make existence meaningless and survival would yield nothing more than frustration.

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It is the fear of isolation and the frustration that comes from it, which lead languages to flourish. Languages in particular are not merely a system of communication between two humans who comprehend them, but within that system (i.e. Language), we express emotions that cannot be expressed otherwise or at the very least, properly. To further explain the matter, love, and regardless of how it’s formulated and referred to in a particular language, is inert to us, but we cannot develop its aspects within our lives without the use of language. The other integral factor of language is interpretation, for it is interpretation that makes all the aforesaid facets of language comprehendible and thus, helps us operate not only the variable in relation to communication, but also ensures our survival and development; moreover, it is interpretation of language that constitutes for all (or the bulk) of our learning.

While we have discussed the factors of languages that have to do with living things, they also happen to be an integral aspect behind operation as well as running of inanimate objects. Languages, being an important facet for humans, give life to machines since machines cannot comprehend instructions without those languages through which they are programmed. Programming languages, although used for machines, are mostly developed and utilized in the field of computers. They constitute of multiple dimensions with varying notations that help the machine comprehend and thus perform the tasks that the programmer (user of the machine) instructs it to do so. The number of Computer Science languages is growing at a rapid pace; thousands of languages have been developed with the passage of time, as with its passing, programming languages are becoming more and more important for the development of humanity as a collective. Life without programming languages essentially means a life without machinery. From the most frivolous of machines like toy cars for example to large servers where humungous amount of important data is stored, all need Artificial Intelligence in order to function.

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Programming languages is the matter that gives the machines intelligence that the user can utilize to harness the machine’s capacity in order to achieve his or her specific goal. They are far more complex than human languages since machines need precise instructions not just for the purpose to function, but to function in a proper manner as well. Unlike human interactions, through the use of human languages, machines cannot be receptive to ambiguities in the tasks, which they are assigned by their user. Among the several programming languages currently existent and used all over the world, languages like C, Java, PHP, HTML, Python, C++, and COBOL are used widely.

The notations used in a programming language are algorithms that the machine translates into the pattern, which it comprehends in order to further operate. The machine uses machine language to comprehend its instructions, the programs / object oriented (OOP) are translated from the Computer science languages like the ones cited above. The attribute of machine languages, which makes them incomprehensible and or usable to humans, is the fact that their matter consists entirely of numbers and that too in large sequences. Furthermore, every machine (CPU in particular) has its own set of machine language. Programmers, who are well versed with these languages, use either high-level languages and or assembly languages, since they are comparatively concise than machine languages. The languages that programmers use largely consist of different variables that have their own names and identities. The instructions in assembly languages in particular, have similar algorithms to that of machine languages, albeit in a different form.

Information contained in the algorithms of a programmer friendly language is called source code. The source could be articulated in either imperative form or declarative form; imperative form depicts the sequence through which the programs for the machine are laid out, while declarative form of source code where the aim of the programmer of IT (information technology) is specified but not the methodology in order for the machine to achieve the aim of the programmer. However, the machine and or the computer do not interpret source code directly because a machine cannot comprehend it by itself since a computer or a machine uses machine language in order to perform tasks as per program’s instruction. Object code predominantly concerns that data, which it acquires after the translation of source code and it is also concerned with its execution. It consists of Arithmetic Logic Unit (ALU) and the object code loads, jumps, and conducts an ALU operation on the data it receives as per the instructions on the source code. The tool, which is mainly used in computer programming, for translating source code into object code, is compiler. Compiler is basically a program that is primarily used for this purpose, since it is more proficient than other alternatives such as an interpreter. Furthermore, the program that translates assembly language into machine language is assembler. In comparison to interpreters, compilers happen to be more time consuming in that they review the whole source code whereas interpreters execute the program as per the understanding of each line, while sidelining the review of the complete source code. Although most languages use compilers for the purpose of translation, but for the translations of codes that are written in BASIC and LISP, the interpreter is a necessity. Since every CPU has its own machine language, there are various types of compilers, which are used for different programming IT (information technology). Each language in computer programming comes with its own compiler, unless the nature of a particular programming language is specifically interpretive. The adverse effect of this fact is that the instructions require a rewrite for each different computer system. However, this has intensified the competition within the computer industry for compilers as several developers create new compilers for both existing and new computer programming science languages.

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From the development of absolute machine languages for e.g. binary; programming languages have evolved at a dramatic rate to their fifth generation language. The latest generation of programming languages is primarily used for Artificial Intelligence (AI) along with neural networks. Most of the aforementioned popular languages are high-level computing languages, which belong to the third generation of programming languages. Assembly languages, which carry similar instructions to machine languages, are second generational languages. Meanwhile, fourth generation languages are those languages that in their matter, do not have similar attributes to that of a machine language; instead, fourth generation languages are closest to human languages and thus, are relatively easier than other generation of programming languages for the user to understand.

Initial development of high-level languages began in the 1950’s. “Plankalkül” was the very first third generational programming that was written for computing purposes. It was written for the German Z3. However, among the widely used third generation languages, FORTRAN, developed in1954 by the highly coveted company in the world of computers, IBM, was the first language whose functions were implemented on computers instead of merely being a design. Starting from the latter stages of 1960’s up to the latter stages of 1970’s, were the times in the world of programming  simulations / data processing where precedents were being set. The majority of the established language paradigms today were conceptualized and thus invented in that very era. These paradigms consist of the likes of Smalltalk, Speakeasy, Prolog, and several other such paradigms. Most of these stated languages led to foundations of multiple other languages. However, the following period of 1980’s saw further research on the established paradigms instead of inventions. This decade saw a period where most languages became more object-oriented and thus, more declarative instead of imperative. With the invention of internet in the 1990’s, came out a completely new ground for computer systems and related fields. This platform gave room for adoption of more languages, meanwhile further the paradigms created in the decades passed were further researched on and further matured as well. The 1990’s also saw a breakthrough in form of scripting language, Java. Languages from this era contain fresh syntaxes, while they were semantically liberal as well since they were flexible to new features that were being introduced. Furthermore, with the growing importance of programming languages, governments all over the world pay sufficient attention to programming languages and their involvement has only increased with the passage of time.

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The content of Computer Science syntax, in most cases, is divided between two components of code. One is Syntax, which reflects on the form of the said code; meanwhile, the other component is the semantics of the code, semantics mainly contain the meaning behind a particular code. Syntax elaborates the shape of the code based on aesthetical attributes of the program, i.e. the nature of its coding as well as its elements. Syntax definitions are usually deciphered through their grammar. It has little concerns with the meaning of the code, which is what semantics address. The definitions of semantics are programmed through natural languages. Furthermore, a comprehensible sequence within a code may be helpful, but this code is not necessarily a code that is semantically useful. Since good form of code does not necessarily mean that, its meaning is correct. Therefore, despite how perfectly a code is articulated as per the utilized language, in order for the code to work, the form of the code must be in line with its meaning. The programmer and his or skill is reflected precisely by its ability to articulate the meaning behind its instruction to the particular machine. There are two types of semantics; first is the static semantic, while the other is dynamic semantic. Static semantics are unchangeable semantics. They put restrictions on those semantics, who despite of their prowess and rationality, are not in line with the syntax. However, dynamic semantics reflect on the execution of the code, as to when a set of program from a language’s function should be implemented.

To ponder over which language is best suited for basic use and in turn, the most widely used language, is a hapless activity. There are multiple variables to consider before deeming the proficiency of a computer language. These variables could be anything from the language’s propensity to consume time, to the lines of code that a particular program of a language has. Other than that, different languages have different purposes with regards to software development; those said purposes are more likely a strength of the languages in question. Different lines of works within the world of business, computers, or engineering, have use of different languages. For instance, Ada is used for aerospace engineering and compiling related work. This factor is integral to gauging the popularity of a particular language along with how many offices within a geographical settlement use a particular language as well as the number of lines its code has. However, FORTRAN is not necessarily a useful language that can be utilized in order to program a large sequence. Similarly, there might be languages that have literal flexibility but consist of subtle inconsistencies in terms of semantics, while well-structured languages can have propensity to be complicated in learning for their programmers; C++ is arguably the most prominent example of the latter facet. Therefore, in order to make a right a choice as to which language to use for programming; factors such as skill level of the programmer, the system on which computer and or machine it would be operated on, and the type of the particular language being used are important in making the right choice for programming.

Programming languages are a unique phenomenon in that they are complex, yet concise. Their complexity is thoroughly reflected in their lack of receptivity towards ambiguity that human interaction intrinsically allows. Nonetheless, they are sufficiently concise too and limited in their content. Languages’ attribute of being artificially constructed allows them to be grasped in their entirety. This is because every facet has a precise meaning along with intent and purpose to it. These aspects and attributes of programming languages lead to their alterations as per the needs, various languages have been merged, and some have eventually been led to complete disuse. However, they are an important factor to consider. If one looks at the influence along with the impact of computers and general machinery on our daily lives, one realizes that these product by large have constituted to be present, as well as our future. The evolution of programming language and simulations of compilers is remarkable, their functions are vast regardless of whether they are formulated for specialized purposes or operate on a broader scale, and with their broad growth, they are arguably a world’s universal. Programming / computer science as a result of computers in general, are changing the way we interact with one another through social networking as well. Having said that, it would not be an invalid point to make that programming languages have an effect on human interaction in their rawest and thoroughly innate forms. Not a day goes by in lives of the majority of the global populace’s life where they do not witness, reap benefit, are impacted by programming languages. Whether this is a good thing for us as a specie or not, depends on the future, which ironically is, programming languages.

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