PCAP: Certified Associate in Python Programming 認證課程
課程簡稱：PCAP Training Course

Python 是一種易用的高階通用程式編碼語言。 Python 程式可應用的範圍很廣，包括：一般編程、數據分析及圖表顯示、人工智能、網站資料及內容管理、財務分析及預測、物聯網 (Internet of Things) 、網絡器材的編程控制 等等。

跟據一些網上的調查，Python 在 2021 年已成為最常用的編碼語言中的第一位。一些大型機構如 NASA, Google, Netflix, Facebook, Instagram 等等，均有應用 Python 編寫的程式。

OpenEDG (Open Education and Development Group) 成立了 Python Institute 以提供 Python 認證。除了 PCAP (Certified Associate in Python Programming的簡稱)，它也有提供最低階的 PCEP，及最高階的 PCPP / CEPP 認證。

因最低階的 PCEP 只是一些基礎的編程知識，而且考取 PCAP 不用先擁有 PCEP，因此本課程是教授 PCAP 中的 Python 知識及技巧，從而幫助學生直接考取 PCAP 認證。

通過本課程認識 Python 語言的基礎而重要知識後，將來學習在不同範疇應用 Python 程式碼時會更易上手及掌握。

本中心的 PCAP: Certified Associate in Python Programming 認證課程籌備多時，精心編排。由上堂、溫習、實習、考試研習、做試題至最後考試，均為你度身訂造，作出有系統的編排。務求真正教識你，又令你考試及格。

本中心為 Open Education and Development Group 指定的考試試場。報考時請致電本中心，登記欲報考之科目、考試日期及時間 (最快可即日報考)。臨考試前考生須出示身份證及繳付考試費。

考試編號 PCAP-31-03 考試費為 HK$2,419。

考試題目由澳洲考試中心傳送到你要應考的電腦，考試時以電腦作答。所有考試題目均為英文，而大多數的考試題目為選擇題。

考試不合格便可重新報考，不限次數。欲知道作答時間、題目總數、合格分數等詳細考試資料，可瀏覽本中心網頁 "各科考試分數資料"。

1. Introduction to Python
1.1 Python Overview
1.2 Basic Lexical Structure
1.2.1 Lines
1.2.2 Indent
1.2.3 Comment
1.3 Installing Python

2. Variables, Literals and Operators
2.1 Identifiers and Keywords
2.2 Literals
2.2.1 String Literals
2.2.2 Integer Literals
2.2.3 Floating-Point Literals
2.2.4 Boolean Literals
2.2.5 Other Literals
2.3 Characteristics of Python Variable
2.4 Basic Operators
2.4.1 Arithmetic Operators
2.4.2 Comparison Operators
2.4.3 Logical / Boolean Operators
2.4.4 Bitwise Operators
2.4.5 Assignment Operators
2.4.6 Precedence Order

3. Flow Control Statements
3.1 if statement
3.2 for statement
3.3 while statement
3.4 Additional Statement For Flow Control
3.4.1 break statement
3.4.2 continue statement
3.4.3 pass Statement
3.4.4 match… case… Statement (參考章節)
3.4.5 if … else … Conditional Expression

4. Function
4.1 Overview
4.2 Defining a Basic Function
4.3 Function Parameter(s)
4.3.1 Function Having Fixed Number of Parameters
4.3.2 Positional and Keyword Argument
4.3.3 Default Parameter Value
4.3.4 Arbitrary Arguments
4.4 Returning Value(s) From Function
4.4.1 Using return
4.4.2 Using yield
4.5 Recursive Function
4.6 Scope of Variables
4.6.1 Defining Variables Outside of Functions
4.6.2 Defining Variables Within a Function
4.6.3 Assigning Value to an existing Global Variable Within a Function
4.7 About Function Object
4.8 Nested Function
4.9 Function Decorator (參考章節)
4.10 Python Builtin Functions
4.10.1 print()
4.10.2 input()
4.10.3 int()
4.10.4 float()
4.10.5 bool()
4.10.6 str()
4.11 Functions from module platform
4.12 Functions from math
4.13 Functions from random
4.14 About Functions Annotations and Docstrings (參考資料)

5. Python Container Types
5.1 Overview
5.2 List
5.2.1 Creating a List
5.2.2 Basic Ways to Read Element from a List
5.2.3 Modifying Elements in a List
5.2.4 Built-in Functions for Containers
5.2.5 Other Methods in class List
5.2.6 Slice Notation
5.3 Tuple
5.3.1 Creating a Tuple
5.3.2 Methods in class Tuple
5.3.3 Benefits of using Tuple
5.4 Set
5.4.1 Creating a Set
5.4.2 Methods in class Set
5.5 Dictionary
5.5.1 Creating a Dictionary
5.5.2 Add / Change / Retrieving Value in a Dictionary
5.5.3 Using Built-in Functions
5.5.4 Basic Methods in class dict
5.5.5 keys(), values() and items()
5.6 Nested List
5.7 Packing / Unpacking and Lambda
5.7.1 UnPacking
5.7.2 Packing
5.7.3 Lambda
5.8 filter() and map()
5.8.1 filter()
5.8.2 map()

6. String
6.1 Overiew
6.2 Iterating, Slicing and using with Bulit-in Functions
6.3 Concatenation
6.4 Comparison
6.5 String Methods
6.5.1 isXXX()
6.5.2 Case Conversion and Stripping
6.5.3 Searching
6.5.4 replace()
6.5.5 format()
6.5.6 Creating a List from String

7. Classes
7.1 Overview
7.2 Class Definition
7.3 Class and Instance Variables
7.3.1 Class Variables
7.3.2 Instance Variables
7.4 Instance Methods
7.5 The Constructor
7.6 Characteristics About Class / Instance Attributes
7.6.1 __dict__ and vars()
7.6.2 dir() and hasattr()
7.6.3 Adding / Removing Attributes Dynamically
7.6.4 Private Attribute
7.7 Characteristics of Other Class Components
7.7.1 Special Methods
7.7.2 Other Types of Methods (參考章節)
7.7.3 Properties (參考章節)
7.8 Inheritence
7.8.1 Overview
7.8.2 Creating a SubClass
7.8.3 Checking for Inheritance Relationship
7.8.4 Adding Variables / Methods in a SubClass
7.8.5 Overriding Methods and super()
7.8.6 About Constructors in Inheritance
7.8.7 Name Mangling
7.8.8 Multiple Inheritance
7.8.9 super() in Multiple Inheritance

8. Errors, Exceptions and Exception Handling
8.1 About Errors and Exceptions
8.1.1 Syntax Errors
8.1.2 Exceptions
8.2 Problems about Avoiding Exceptions
8.3 Exception Handling
8.3.1 Basic try statement
8.3.2 Multiple except Clauses
8.3.3 The else Clause and the finally Clause
8.4 Exception Ocurred in Function / Method
8.5 Details About an Exception
8.6 Custom Exception
8.6.1 Creating a Custom Exception Class
8.6.2 Rasing Custom Exception
8.6.3 Handling Custom Exception
8.6.4 An Example for Using Custom Exception
8.7 Chaining Exception
8.8 AssertionError

9. Input / Ouput
9.1 Overview
9.2 Standard Streams
9.2.1 Standard Input (stdin)
9.2.2 Standard Output (stdout)
9.2.3 Standard Error (stderr)
9.3 Streams for Text File
9.3.1 Opening a File Stream
9.3.2 Reading Text from a File
9.3.3 Writing Text to a File
9.4 Closing a File Stream
9.5 with statement (參考章節)

10. Python Modules and Packages
10.1 Overview
10.2 Creating a Simple Module
10.3 Module Attributes
10.4 More Ways for Importing a Module / Attribute
10.4.1 Importing the Module
10.4.2 Importing All Attributes in a Module
10.4.3 Importing Specific Attribute(s) from a Module
10.5 Statements entered Directly in a Module
10.6 __pycache__
10.7 Python Package
10.7.1 Basic way to Import a Package
10.7.2 Importng Pre-defined Modules in a Package
10.7.3 Importng Package in Zip format
10.7.4 Relative Import (參考章節)