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Aspose Slides Merger App is a free app based on Aspose.Slides API for processing presentations automatically in any popular programming language and platform: C#, Java, C++, Android, Xamarin, etc. of Crete Fall2012 Programming Language Timeline FlowMatic 1955 Grace Hopper UNIVAC ForTran 1956 John Backus IBM AlgOL 1958 ACM Language Committee LISP 1958 John McCarthy MIT CoBOL 1960 Committee on Data Systems Languages BASIC 1964 John Kemeny & Thomas Kurtz Dartmouth Programming languages are languages When it comes to mechanics of the task, learning to speak and use a programming language is in many ways like learning to speak a human language In both kind of languages you have to learn new vocabulary, syntax and semantics (new words, sentence structure and meaning) And both kind of language require considerable practice to make perfect. 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PROGRAMMING LANGUAGES) Hybrid Implementation Process Unit-1(PRINCIPLES OF 1-30 PROGRAMMING LANGUAGES) Just-in-Time Implementation Systems Initially translate programs to an intermediate language Then compile the intermediate language of the subprograms into machine code when they are called Set of legal behaviors for a … Download PDF. The fonts look computer-like, and it’s very creative. WINNER! Easy to use • Especially for teaching / learning tasks Ease of implementation • Easy to write a compiler / interpreter for Good compilers • Fortran in the 50's and 60's Economics, patronage • Cobol and Ada, for example, Compilation vs, Translation @ Translation: does a 'mechanical' translation of the source code • No deep analysis of the syntax/ semantics of the code @ Compilation: does a thorough understanding and translation of the code A compiler/ translator changes a program from one language into another C compiler: from C into assembly An assembler then translates it into machine language • Java compiler: from Java code to Java bytecode The Java interpreter then runs the bytecode, Compilation stages Scanner Parser Semantic analysis Intermediate code generation Machine-independent code improvement (optional Target code generation Machine-specific code improvement (optional) For many compilers, the result is assembly Which then has to be run through an assembler These stages are machine-independent! 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The generate "intermediate code", Compilation: Scanner Recognizes the 'tokens' of a program • Example tokens: ( 75 main int { return ; foo Lexical errors are detected here • More on this in a future lecture, Compilation: Parser Puts the tokens together into a pattern • void main ( int argc char argv ) • This line has 11 tokens • It is the beginning of a method Syntatic errors are detected here When the tokens are not in the correct order: • int int foo • This line has 4 tokens After the type (int), the parser expects a variable name o Not another type, Compilation: Semantic analysis Checks for semantic correctness A semantic error: foo 5; int foo; In C (and most languages), a variable has to be declared before it is used • Note that this is syntactically correct As both lines are valid lines as far as the parser is concerned, Compilation: Intermediate code generation (and improvement) Almost all compilers generate intermediate code • This allows part of the compiler to be machine- independent @ That code can then be optimized Optimize for speed, memory usage, or program footprint, Compilation: Target code generation (and improvement) The intermediate code is then translated into the target code • For most compilers, the target code is assembly • For Java, the target code is Java bytecode That code can then be further optimized Optimize for speed, memory usage, or program footprint. 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