Difference between revisions of "Computer science"

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===Computer programming===
 
===Computer programming===
 
{{main|Computer programming}}
 
{{main|Computer programming}}
'''Computer programming''' is the study of how algorithms can be applied through the use of various programming languages to create software utilities for the computer. Common programming languages include [[C++]], [[Java]], [[Visual Basic]], [[C#]], [[C]], and [[Pascal (language) | Pascal]]. Other languages differing slightly in usage from these are known as scripting languages. Examples are Perl, Python, Ruby and PHP.
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'''Computer programming''' is the study of how algorithms can be applied through the use of various programming languages to create software utilities for the computer. Common programming languages include [[C++]], [[Java]], [[Visual Basic]], [[JS]], [[C#]], [[C]], and [[Pascal (language) | Pascal]]. Other languages differing slightly in usage from these are known as scripting languages. Examples are Perl, Python, Ruby and PHP.
  
 
===Computability and complexity===
 
===Computability and complexity===
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* [[Computer science scholarships]]
 
* [[Computer science scholarships]]
 
* [[Getting Started With Python Programming|Basic python tutorial]]
 
* [[Getting Started With Python Programming|Basic python tutorial]]
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* [[Computer summer programs]]

Latest revision as of 11:47, 27 May 2021

Computer science is the study of computers and computation, or more specifically, the algorithms used to obtain results with these tools.

Topics in computer science

Computer programming

Main article: Computer programming

Computer programming is the study of how algorithms can be applied through the use of various programming languages to create software utilities for the computer. Common programming languages include C++, Java, Visual Basic, JS, C#, C, and Pascal. Other languages differing slightly in usage from these are known as scripting languages. Examples are Perl, Python, Ruby and PHP.

Computability and complexity

Main article: Computability and complexity

Computability and computational complexity are problems which concern the limits of algorithms to solve certain types of problems under certain constraints. For example, the P versus NP problem is such a problem.


See also

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