one language pretty much like another? No!
To gain experience
with these paradigms by using example programming languagesTo understand concepts of syntax, translation, abstraction, and implementation
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Презентация на тему Principles of programming. Languages introduction. Objectives
Содержание
- 2. ObjectivesTo introduce several different paradigms of programmingBut
- 3. Paradigms of Programming?There are several ways to
- 4. Some Programming ParadigmsProceduralexamples: C, Pascal, Basic, FortranFunctionalexamples: Lisp, MLObject-orientedexamples: C++, Java, SmalltalkRule-based (or Logic)example: Prolog
- 5. Why so many?Most important: the choice of
- 6. Models of ComputationRAM machineproceduraldirected acyclic graphsSmalltalk model
- 7. Lots of LanguagesThere are many programming languages
- 8. Issues for all LanguagesCan it be understood
- 9. TranslationCompilationTranslate into instructions suitable for some other
- 10. Скачать презентацию
- 11. Похожие презентации
ObjectivesTo introduce several different paradigms of programmingBut isn’t one language pretty much like another? No!To gain experience with these paradigms by using example programming languagesTo understand concepts of syntax, translation, abstraction, and implementation
Слайд 2
Objectives
To introduce several different paradigms of programming
But isn’t
one language pretty much like another? No!
with these paradigms by using example programming languagesTo understand concepts of syntax, translation, abstraction, and implementation
Слайд 3
Paradigms of Programming?
There are several ways to think
about computation:
a set of instructions to be executed
a set
of expressions to be evaluateda set of rules to be applied
a set of objects to be arranged
a set of messages to be sent and received
Слайд 4
Some Programming Paradigms
Procedural
examples: C, Pascal, Basic, Fortran
Functional
examples: Lisp,
ML
Object-oriented
examples: C++, Java, Smalltalk
Rule-based (or Logic)
example: Prolog
Слайд 5
Why so many?
Most important: the choice of paradigm
(and therefore language) depends on how humans best think
about the problemOther considerations:
efficiency
compatibility with existing code
availability of translators
Слайд 6
Models of Computation
RAM machine
procedural
directed acyclic graphs
Smalltalk model of
O-O
partial recursive functions
Lisp and ML
Markov algorithms
Prolog is loosely based
on these
Слайд 7
Lots of Languages
There are many programming languages out
there
Lots of other PL-like objects
document languages, e.g. LaTeX, Postscript
command
languages, e.g. bash, MATLABmarkup languages, e.g. HTML and XML
specification languages, e.g. UML
Слайд 8
Issues for all Languages
Can it be understood by
people and processed by machines?
although translation may be required
Sufficient
expressive power?can we say what needs to be said, at an appropriate level of abstraction?
Слайд 9
Translation
Compilation
Translate into instructions suitable for some other (lower
level) machine
During execution, that machine maintains program state information
Interpretation
May
involve some translationInterpreter maintains program state
