in computer
why do we have diffrent programming laungage
Programming languages (or natural languages) cannot be downloaded.
Programming languages (or natural languages) cannot be downloaded.
You cannot install programming languages (or natural languages, either) on your computer. You can install compilers for programming languages, though.
high level programming languages are languages that are given by the programmer to the system as a input and they are understandable by a programmer
When comparing programming languages for structured programming, C stands out as the most suitable and widely recognized choice due to its clear syntax, strong support for functions, and procedural approach. It emphasizes modular code, making it easier to maintain and debug—key traits valued in software development. Languages like Pascal were also designed for structure, but C offers broader real-world application and industry adoption. Its influence is evident in modern languages like Java and Python, yet C remains the gold standard for low-level control and efficiency. For developers prioritizing clarity and organization, C delivers unmatched structured programming benefits. Join the conversation with #ProgrammingLanguages#SoftwareDevelopment#Cremerz#CremerzSoft.
No.
Common questions about syntax in programming languages include: "What is syntax and why is it important?", "How does syntax differ between programming languages?", "What are some common syntax errors and how can they be avoided?", and "How can I improve my understanding of syntax in a programming language?"
There are no 'partial' programming languages.
Programming languages such as COBOL and FORTRAN are examples of procedure languages.
No, but of course there is a programmers' slang. And programming is done with so-called 'programming languages'.
Most general-purpose programming languages can be used for video games. Lazyfoo's tutorials are excellent resources for anyone interested in game programming. They are written in the C++ programming language, but the same concepts can easily be applied to C, Ruby, Python, Perl, or any other general-purpose language.