Topics of PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam
The syllabus for the PCAP-31-03 exam dumps is listed below in detail of each section and their topics:
1. Control and Evaluations (25%)
Objectives covered by this section:
- controlling loop execution: break, continue
- simple strings: constructing, assigning, indexing, slicing comparing, immutability
- operators: unary and binary, priorities and binding
- string operators: * +
- conditional statements: if, if-else, if-elif, if-elif-else
- the pass instruction
- relational operators (== != > >= < <= ), building complex Boolean expressions
- formatting print() output with end= and sep= arguments
- basic input and output: input(), print(), int(), float(), str() functions
- accuracy of floating-point numbers
- numeric operators: * / % // + -
- bitwise operators: ~ & ^ | « »
- building loops: while, for, range(), in, iterating through sequences
- literals: Boolean, integer, floating-point numbers, scientific notation, strings
- Boolean operators: not and or
- expanding loops: while-else, for-else, nesting loops, and conditional statements
- simple lists: constructing vectors, indexing, and slicing, the len() function
- basic concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
- assignments and shortcut operators
2. Data Aggregates (25%)
Objectives covered by this section:
- strings in detail: ASCII, UNICODE, UTF-8, immutability, escaping using the \ character, quotes and apostrophes inside strings, multiline strings, copying vs. cloning, advanced slicing, string vs. string, string vs. non-string, basic string methods (upper(), lower(), isxxx(), capitalize(), split(), join(), etc.) and functions (len(), chr(), ord()), escape characters
- tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
- dictionaries: building, indexing, adding and removing keys, iterating through dictionaries as well as their keys and values, checking key existence, keys(), items(), and values() methods
- lists in lists: matrices and cubes
- tuples: indexing, slicing, building, immutability
- lists in detail: indexing, slicing, basic methods (append(), insert(), index()) and functions (len(), sorted(), etc.), del instruction, iterating lists with the for loop, initializing, in and not in operators, list comprehension, copying and cloning
3. Functions and Modules (25%)
Objectives covered by this section:
- import directives, qualifying entities with module names, initializing modules
- writing and using modules, the name variable
- the if operator
- converting generator objects into lists using the list() function
- lambda functions, defining and using
- defining and invoking your functions and generators
- parameters vs. arguments, positional keyword and mixed argument passing, default parameter values
- name scopes, name hiding (shadowing), the global keyword
- pyc file creation and usage
- Python hashbangs, using multiline strings as module documentation
- return and yield keywords, returning results, the None keyword, recursion
- hiding module entities
- constructing and distributing packages, packages vs. directories, the role of the init.py file
- map(), filter(), reduce(), reversed(), sorted() functions and the sort() method
4. Classes, Objects, and Exceptions (25%)
Objectives covered by this section:
- the init method
- class methods: defining and using the self-parameter meaning and usage
- the role of the str method
- single inheritance vs. multiple inheritances
- writing and using constructors
- the try-except-else-finally block, the raise statement, the except-as variant
- assertions
- introspection: dict, name, module, bases properties, examining class/object structure
- the anatomy of an exception object
- hasattr(), type(), issubclass(), isinstance(), super() functions
- adding your exceptions to an existing hierarchy
- inheritance and overriding, finding class/object components
- input/output basics: opening files with the open() function, stream objects, binary vs. text files, newline character translation, reading and writing files, byte array objects
- exceptions hierarchy, assigning more than one exception to one except branch
- name mangling
- read(), readinto(), readline(), write(), close() methods
- defining your classes, superclasses, subclasses, inheritance, searching for missing class components, creating objects
- using predefined exceptions and defining your ones
- invoking methods, passing and using the self-argument/parameter
- class attributes: class variables and instance variables, defining, adding, and removing attributes, explicit constructor invocation
Reference: https://pythoninstitute.org/certification/pcap-certification-associate/pcap-exam-syllabus/
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What is the duration, language, and format of PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam
- Number of Questions: 40
- Type of Questions: Single-choice and multiple-choice questions
- Passing score: 70%
- Language of Exam: English
- Duration of Exam: 65 minutes + 10 minutes (Non-Disclosure Agreement/Tutorial)
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Introduction to PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam
PCAP - Certified Python Programming Associate (PCAP-31-03) qualification is a technical certificate that tests the ability to perform coding tasks in the Python language related to the fundamentals of programming and the basic notions and techniques used in object-oriented programming.
PCAP - Certified Associate in Python Programming (PCAP-31-03) certification indicates that the person is familiar with general computer programming concepts such as conditional execution, loops, the syntax of the Python programming language, semantics, and runtime environment, as well as general coding and object-oriented programming techniques.
Becoming certified by PCAP ensures that you are fully familiar with all the primary means offered by Python 3 to enable you to begin your studies and open a path to the career of the developer.
Python Institute PCAP-31-03 Exam Syllabus Topics:
| Section | Weight | Objectives |
| Modules and Packages | 20% | - Packages and module organization
- 1. Relative vs absolute imports
- 2. Package structure and initialization
- Python modules import system
- 1. Standard library modules overview
- 2. Import variants and namespace usage
|
| Miscellaneous Topics | 10% | - Basic I/O and file handling
- 1. Reading and writing files
- Iterators and generators
- 1. Yield-based generators
- 2. Iterator protocol
|
| Data Types, Strings, and Core Syntax | 15% | - Core Python constructs
- 1. Lambda functions and functional tools
- 2. Comprehensions (list, dict, set)
- String operations
- 1. String methods and immutability
- 2. String slicing and formatting
|
| Object-Oriented Programming (OOP) | 35% | - Encapsulation and class design
- 1. Public, protected, and private attributes
- 2. Magic methods and operator overloading
- Classes and objects
- 1. Class definition and instantiation
- 2. Attributes and methods
- Inheritance and polymorphism
- 1. Single and multiple inheritance
- 2. Method overriding and resolution order (MRO)
|
| Exceptions and Error Handling | 20% | - Exception handling mechanisms
- 1. Raising and propagating exceptions
- 2. try, except, else, finally blocks
- Built-in exceptions
- 1. Common exception types
- 2. Custom exception classes
|