Ví dụ về việc sử dụng Procedural programming trong Tiếng anh và bản dịch của chúng sang Tiếng việt
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Go is a procedural programming language.
It combines features and concepts from both functional and procedural programming.
In procedural programming, a unit may be a single function or procedure.
Learn the ANSI C and C++ languages, along with the concepts of procedural programming.
In procedural programming, a unit may be a single function or procedure.
No matter what language you choose later to beyour language of choice, it will require procedural programming at some level.
In procedural programming a unit may be an individual program, function, procedure.
They support event-driven programming, as well as OO and procedural programming at some level.
A contemporary procedural programming language(C, C++, etc.)(The student is not expected to know Java.).
No matter what language you choose later to be your language of choice,it will require procedural programming at some level.
C is a classic low-level procedural programming language while C++ is a superset of C that is both procedural and object-oriented.
It's still considered an extremely universal, portable and efficient language,and is an excellent introduction to procedural programming.
There are three widely used programming paradigms: procedural programming, functional programming and object-oriented programming. .
In addition to the classes and methods(called member functions in Kotlin) of object-oriented programming, Kotlin also supports procedural programming with the use of functions.
Also, procedural programming is reported by most programmers to be the easiest to use as a starting point to get the idea of programming in general.
In addition to the classes and methods(called member functions in Kotlin) of object-oriented programming, Kotlin also supports procedural programming with the use of functions.
Agena is an easy-to-learn procedural programming language designed to be used in scientific, educational, linguistic, graphical, and many other applications, including scripting.
Usually, computer programs were just a list of instructions to the computer, telling the computer to do certain things in a certain way,which is called procedural programming.
The simple difference is that procedural programming runs through a logical progression of statements, often with structures such as“IF” and“THEN”(IF this happens, THEN do this).
For more advanced programmers whoare already acclimated to object-oriented programming and procedural programming, learning C++ before C can be an understandable option.
In typical procedural programming environments, a program has some entry point that executes a set of commands until completion or enters a loop to perform work on each iteration.
In order to make that happen,we will be approaching this particular plugin using the procedural programming approach rather than the object-oriented approach I have used in most of my tutorials.
Many of the most widely used programming languages(such as C++, Delphi, Java, Python etc.) are multi-paradigm programming languages that support object-oriented programming to a greater or lesser degree,typically in combination with imperative, procedural programming.
A God object is theobject-oriented analogue of failing to use subroutines in procedural programming languages, or of using far too many global variables to store state information.
Other paradigms such as functional and procedural programming focus primarily on the actions, and logical programming focuses on the logical assertions that trigger execution of program code.
C was created with one important goal in mind: to make it easier towrite large programs with fewer errors in the procedural programming paradigm, but without putting a burden on the writer of the C compiler, who is encumbered by complex language features.
We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis.
You will go ahead with basics of procedural programming and explore how anyone can use the python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis.