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| Rmd | b29e9ec | Dave Tang | 2023-08-01 | Object-Oriented Programming |
If there’s one topic that has continually eluded me despite my efforts to understand it, it’s Object-Oriented Programming (OOP). Well, I have finally had enough of not “getting it” and I’m going to, once and for all, understand enough to be able to write code under the OOP paradigm. I will use this document to keep the key ideas behind OOP.
Most of the code I write ends up in scripts that perform a certain task. The code is interpreted starting from the first line until it reaches the last line. I believe this type of programming style is known as procedural programming, where the execution is like following a recipe from start to finish until a desired state is reached. Then there’s functional programming, which is a style that focuses on the use of functions that have certain characteristics (that make it a pure function). OOP organises a program into objects, which are data structures consisting of attributes and methods, and these objects interact with each other to solve a problem.
I will use Python to illustrate some OOP concepts. Python’s main object-oriented programming tool comes via classes, which is used to implement class objects that support inheritance. A class is like a blueprint or definition for creating an object. Python classes provide a means of bundling data and functionality together. Creating a new class creates a new type of object, allowing new instances of that type to be made.
The simplest form of a class definition:
class ClassName:
<statement-1>
...
<statement-N>class MyClass:
x = 2
my_obj = MyClass()When MyClass was called, a new object with a distinct
namespace was generated or instantiated; my_obj is an
instance of MyClass. Each object generated from a class has
access to the class’s attributes and methods, and gets a namespace.
Class objects support two kinds of operations: attribute references and
instantiation. Attribute references use the standard syntax used for all
attribute references in Python: obj.name. Valid attribute
names are all the names that were in the class’s namespace when the
class object was created. The only operations understood by instance
objects are attribute references. There are two kinds of valid attribute
names: data attributes and methods. A method is a function that belongs
to an object.
print(my_obj.x)2Let’s create a class with a method.
class MyClass2:
"""A simple class with a method"""
i = 1984
def __init__(self, name):
self.name = name
def f(self):
print(self)
return 'Big Brother is watching you'
x = MyClass2('Winston')With the class definition above, MyClass2.i and
MyClass2.f are valid attribute references, returning an
integer and a function object, respectively. When a class defines the
special method named __init__(), class instantiation
automatically invokes __init__() for the newly created
class instance. This means that the __init__()
function is always executed when the class is being initiated.
Use the __init__() function to assign values or to run
operations that are necessary when the object is being created. This
function is typically called the constructor.
Another important note regarding methods is that the instance object is automatically passed as the first argument. The following are equivalent; self is the instance object which we assigned to x.
x.f()<__main__.MyClass2 object at 0x7feb15dfba90>
'Big Brother is watching you'MyClass2.f(x)<__main__.MyClass2 object at 0x7feb15dfba90>
'Big Brother is watching you'Use the obj.name syntax to add a new data attribute not
defined in the class. Use the dir() function to return all
functions and properties of a class.
x.room_no = 101
print("\n".join(dir(x)), "\n")__class__
__delattr__
__dict__
__dir__
__doc__
__eq__
__format__
__ge__
__getattribute__
__getstate__
__gt__
__hash__
__init__
__init_subclass__
__le__
__lt__
__module__
__ne__
__new__
__reduce__
__reduce_ex__
__repr__
__setattr__
__sizeof__
__str__
__subclasshook__
__weakref__
f
i
name
room_no However, objects need to be part of an inheritance hierarchy for the code to qualify as being truly object-oriented. The syntax for a derived class definition is:
class DerivedClassName(BaseClassName):
<statement-1>
...
<statement-N>The syntax for multiple inheritance:
class DerivedClassName(Base1, Base2, Base3):
<statement-1>
...
<statement-N>The search for attributes occurs depth-first, left-to-right, and not searching twice in the same class when there is an overlap in the hierarchy. But it is slightly more complex with the method resolution order changing dynamically to support cooperative calls to super().
TBC.
Object-Oriented Programming (OOP) is a programming paradigm that organises a program into objects, which are data structures consisting of attributes and methods.
Objects are instantiated from a class; you can think of a class as blueprints or a factory.
Each instance generated from a class has access to the class’s attributes and methods.
Classes can be inherited into sub-classes and it is this inheritance hierarchy that makes code object-oriented.
Classes support code reuse in ways that other components cannot and this is the main purpose of OOP. With classes, we code by customising existing code, instead of either changing existing code in place or starting from scratch. Once you get used to programming by software customisation, writing a new program becomes a task of mixing together existing superclasses that already implement the behaviour required by your program. In many application domains, collections of superclasses are known as frameworks that implement common programming tasks as classes that are ready to be used in your programs. With frameworks, you often simply code a subclass that is specific to your purposes, and inherit from all class tree.
sessionInfo()R version 4.3.0 (2023-04-21)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 22.04.2 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so; LAPACK version 3.10.0
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
time zone: Etc/UTC
tzcode source: system (glibc)
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] reticulate_1.30 lubridate_1.9.2 forcats_1.0.0 stringr_1.5.0
[5] dplyr_1.1.2 purrr_1.0.1 readr_2.1.4 tidyr_1.3.0
[9] tibble_3.2.1 ggplot2_3.4.2 tidyverse_2.0.0 workflowr_1.7.0
loaded via a namespace (and not attached):
[1] rappdirs_0.3.3 sass_0.4.6 utf8_1.2.3 generics_0.1.3
[5] lattice_0.21-8 stringi_1.7.12 hms_1.1.3 digest_0.6.31
[9] magrittr_2.0.3 timechange_0.2.0 evaluate_0.21 grid_4.3.0
[13] fastmap_1.1.1 Matrix_1.5-4 rprojroot_2.0.3 jsonlite_1.8.5
[17] processx_3.8.1 whisker_0.4.1 ps_1.7.5 promises_1.2.0.1
[21] httr_1.4.6 fansi_1.0.4 scales_1.2.1 jquerylib_0.1.4
[25] cli_3.6.1 rlang_1.1.1 munsell_0.5.0 withr_2.5.0
[29] cachem_1.0.8 yaml_2.3.7 tools_4.3.0 tzdb_0.4.0
[33] colorspace_2.1-0 httpuv_1.6.11 here_1.0.1 png_0.1-8
[37] vctrs_0.6.2 R6_2.5.1 lifecycle_1.0.3 git2r_0.32.0
[41] fs_1.6.2 pkgconfig_2.0.3 callr_3.7.3 pillar_1.9.0
[45] bslib_0.5.0 later_1.3.1 gtable_0.3.3 glue_1.6.2
[49] Rcpp_1.0.10 xfun_0.39 tidyselect_1.2.0 rstudioapi_0.14
[53] knitr_1.43 htmltools_0.5.5 rmarkdown_2.22 compiler_4.3.0
[57] getPass_0.2-2