CSC 213 Programming Language (2) Lecture Notes PDF
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Dr Ohud Almutairi
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Summary
These lecture notes detail the course CSC 213 - Programming Language (2). They cover topics including Object-Oriented Programming, Exception Handling, and Regular Expressions. The documentation also includes course information and contact details.
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CSC 213 - Programming Language (2) DR OHUD ALMUTAIRI CSC 213 : PROGRAMMING LANGUAGE (2) 1 Course outlines Topic 1: Object Oriented Programming Topic 2: Exception Handling Topic 3: Regular expressions Topic 4: File Handling Topic 5: Database Topic 6: Multithreading...
CSC 213 - Programming Language (2) DR OHUD ALMUTAIRI CSC 213 : PROGRAMMING LANGUAGE (2) 1 Course outlines Topic 1: Object Oriented Programming Topic 2: Exception Handling Topic 3: Regular expressions Topic 4: File Handling Topic 5: Database Topic 6: Multithreading Topic 7: GUI Programming Topic 8: Data Visualization in Python CSC 213 : PROGRAMMING LANGUAGE (2) 2 Course Info Software Tools ◦Python 3.11 ◦Python Interpreter and IDLE IDE. ◦Download: https://www.python.org/downloads/ CSC 213 : PROGRAMMING LANGUAGE (2) 3 Course Info Grading Midterm Exam (1) 20pt Midterm Exam (2) 20pt 60pt Quizzes, Assignments 10pt Project, lab exam 10pt Final exam 40pt Total points 100pt CSC 213 : PROGRAMMING LANGUAGE (2) 4 Contact Email: [email protected] MyU: @DrAlmutairi CSC 213 : PROGRAMMING LANGUAGE (2) 5 Object Oriented Programming Lecture 1 DR OHUD ALMUTAIRI CSC 213 : PROGRAMMING LANGUAGE (2) 6 Introduction to Object-Oriented Programming (OOP) Object-Oriented Programming (OOP) is a programming paradigm that structures code around the concept of "objects." These objects encapsulate data and behavior, making it easier to model and interact with real-world entities. Object oriented programming is a way to think about “objects” in a program (such as variables, functions, etc) A program becomes less a list of instruction and more a set of objects and how they interact. Everything in Python is an object. CSC 213 : PROGRAMMING LANGUAGE (2) 7 Introduction to Object-Oriented Programming (OOP) OOP is based on four main principles: encapsulation, modularity, inheritance, and polymorphism. Encapsulation: hiding design details to make the program clearer and more easily modified later. Modularity: the ability to make objects stand alone so they can be reused (our modules). Like the math module. Inheritance: create a new object by inheriting (like father to son) many object characteristics while creating or over-riding for this object. Polymorphism: allow one message to be sent to any object and have it respond appropriately based on the type of object it is. CSC 213 : PROGRAMMING LANGUAGE (2) 8 OOP helps for software engineering Software engineering (SE) is the discipline of managing code to ensure its long-term use. takes existing code and modifies it. makes the overall code simpler, easier to understand. doesn't change the functionality, only the form! CSC 213 : PROGRAMMING LANGUAGE (2) 9 What is a Class? A class is a template for creating objects in Python. It defines the structure and behavior of objects by specifying attributes and methods. Classes allow you to create instances (objects) that share the same attributes and methods defined by the class. This concept enables reusability and organization of code. Example: Imagine a "Student" class with attributes like name and age, and methods like "study" and "take_exam." Multiple student instances can be created based on this class. CSC 213 : PROGRAMMING LANGUAGE (2) 10 Class versus Instance Class: Defines attributes and methods that instances will have. Instance: Represents a specific object with its unique data. Example: The analogy of the cookie cutter and a cookie. CSC 213 : PROGRAMMING LANGUAGE (2) 11 Class versus Instance In OOP, You define a class as a way to generate new instances of that class. Both the instances and the classes are themselves objects. The structure of an instance starts out the same, as dictated by the class. The instances respond to the messages defined as part of the class. CSC 213 : PROGRAMMING LANGUAGE (2) 12 Why a class We make classes because we need more complicated, user-defined data types to construct instances we can use. Each class has potentially two aspects: Attributes: Properties that store data related to the class. The data (types, number, names) that each instance might contain. Methods: Functions defined within the class that perform actions. The messages that each instance can respond to. CSC 213 : PROGRAMMING LANGUAGE (2) 13 Anatomy of a Class Class Name: The name used to define the class. The standard way to name a class in Python is called CapWords: Each word of a class begins with a Capital letter. no underlines. sometimes called CamelCase. makes recognizing a class easier. Attributes: Properties that store data related to the class. Methods: Functions defined within the class that perform actions. Constructor (__init__ method): A special method that initializes attributes when an instance is created. CSC 213 : PROGRAMMING LANGUAGE (2) 14 The basic format of a class definition CSC 213 : PROGRAMMING LANGUAGE (2) 15 Creating a Class in Python constructure calling the attributes CSC 213 : PROGRAMMING LANGUAGE (2) 16 dir() function The dir() function lists all the attributes of a class You can think of these as keys in a dictionary stored in the class. CSC 213 : PROGRAMMING LANGUAGE (2) 17 pass keyword The pass keyword is used to signify that you have intentionally left some part of a definition (of a function, of a class) undefined ◦ by making the suite of a class undefined, we get only those things that Python defines for us automatically. CSC 213 : PROGRAMMING LANGUAGE (2) 18 CSC 213 : PROGRAMMING LANGUAGE (2) 19 Constructor When a class is defined, a function is made with the same name as the class. This function is called the constructor. By calling it, you can create an instance of the class. Constructor (__init__ method): A special method that initializes attributes when an instance is created. We can affect this creation (more later), but by default Python can make an instance. CSC 213 : PROGRAMMING LANGUAGE (2) 20 Dot reference We can refer to the attributes of an object by doing a dot reference, of the form: object.attribute The attribute can be a variable or a function. It is part of the object, either directly or by that object being part of a class. CSC 213 : PROGRAMMING LANGUAGE (2) 21 dot reference Examples, print(my_instance.my_val) Print a variable associated with the object my_instance my_instance.my_method() Call a method associated with the object my_instance. Variable versus method, you can tell by the parenthesis at the end of the reference. CSC 213 : PROGRAMMING LANGUAGE (2) 22 An object-local value Once an object is made, the data is made by the same way as in any other Python situation, by assignment Any object can thus be augmented by adding a variable my_instance.attribute = 'hello' New attribute shown in dir CSC 213 : PROGRAMMING LANGUAGE (2) 23 Class instance relationship Because each instance has its type of the class that it was made from, an instance remembers its class. This is often called the instance-of relationship Stored in the __class__ attribute of the instance CSC 213 : PROGRAMMING LANGUAGE (2) 24 didnt add attribute CSC 213 : PROGRAMMING LANGUAGE (2) 25 CSC 213 : PROGRAMMING LANGUAGE (2) 26 Scope Scope refers to the region in a program where a variable can be accessed or modified. The Object Scope Rule is an important aspect of variable access within classes and objects in Python. The Object Scope Rule involves three main components: 1. Class Attributes -> defined within the class itself. 2. Instance Attributes -> specific to each instance. 3. Methods -> functions defined within the class. CSC 213 : PROGRAMMING LANGUAGE (2) 27 CSC 213 : PROGRAMMING LANGUAGE (2) 28 CSC 213 : PROGRAMMING LANGUAGE (2) 29 Method CSC 213 : PROGRAMMING LANGUAGE (2) 30 Method versus Function A method and a function are closely related. They are both “small programs” that have parameters, perform some operation and (potentially) return a value. The main difference is that methods are functions tied to a particular object. CSC 213 : PROGRAMMING LANGUAGE (2) 31 Difference in calling Function: method do_something(param1) Method: function method an_object.do_something(param1) This means that the object that the method is called on is always implicitly a parameter! CSC 213 : PROGRAMMING LANGUAGE (2) 32 Difference in definition Methods are defined inside the suite of a class. Methods always bind the first parameter in the definition to the object that called it. This parameter can be named anything, but traditionally it is named self class MyClass: def my_method(self,param1): suite CSC 213 : PROGRAMMING LANGUAGE (2) 33 more on self self is an important variable. In any method it is bound to the object that called the method. Through self, we can access the instance that called the method (and all of its attributes as a result) CSC 213 : PROGRAMMING LANGUAGE (2) 34 Binding self CSC 213 : PROGRAMMING LANGUAGE (2) 35 Binding self When a dot method call is made, the object that called the method is automatically assigned to self. We can use self to remember, and therefore refer, to the calling object to reference any part of the calling object, we must always precede it with self. The method can be written generically, dealing with calling objects through self CSC 213 : PROGRAMMING LANGUAGE (2) 36 End of the Lecture CSC 213 : PROGRAMMING LANGUAGE (2) 37