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Topics of PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

The syllabus for the PCAP - Certified Associate in Python Programming (PCAP-31-02) examination is listed below in detail of each section and their topics:

1. Control and Evaluations (25%)

Objectives covered by this section:

  • building loops: while, for, range(), in, iterating through sequences
  • simple lists: constructing vectors, indexing and slicing, the len() function
  • formatting print() output with end= and sep= arguments
  • controlling loop execution: break, continue
  • assignments and shortcut operators
  • expanding loops: while-else, for-else, nesting loops and conditional statements
  • Boolean operators: not and or
  • relational operators ( == != > >= < <= ), building complex Boolean expressions
  • conditional statements: if, if-else, if-elif, if-elif-else
  • literals: Boolean, integer, floating-point numbers, scientific notation, strings
  • string operators: * +
  • numeric operators: * / % // + -
  • the pass instruction
  • basic concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
  • accuracy of floating-point numbers
  • operators: unary and binary, priorities and binding
  • simple strings: constructing, assigning, indexing, slicing comparing, immutability
  • bitwise operators: ~ & ^ | « »
  • basic input and output: input(), print(), int(), float(), str() functions

2. Data Aggregates (25%)

Objectives covered by this section:

  • 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
  • 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
  • lists in lists: matrices and cubes
  • tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
  • 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

3. Functions and Modules (25%)

Objectives covered by this section:

  • lambda functions, defining and using
  • Python hashbangs, using multiline strings as module documentation
  • constructing and distributing packages, packages vs. directories, the role of the init.py file
  • pyc file creation and usage
  • writing and using modules, the name variable
  • converting generator objects into lists using the list() function
  • parameters vs. arguments, positional keyword and mixed argument passing, default parameter values
  • the if operator
  • map(), filter(), reduce(), reversed(), sorted() functions and the sort() method
  • hiding module entities
  • import directives, qualifying entities with module names, initializing modules
  • return and yield keywords, returning results, the None keyword, recursion
  • defining and invoking your own functions and generators
  • name scopes, name hiding (shadowing), the global keyword

4. Classes, Objects, and Exceptions (25%)

Objectives covered by this section:

  • using predefined exceptions and defining your own ones
  • name mangling
  • writing and using constructors
  • introspection: dict, name, module, bases properties, examining class/object structure
  • read(), readinto(), readline(), write(), close() methods
  • single inheritance vs. multiple inheritance
  • input/output basics: opening files with the open() function, stream objects, binary vs. text files, newline character translation, reading and writing files, bytearray objects
  • the try-except-else-finally block, the raise statement, the except-as variant
  • the anatomy of an exception object
  • adding your own exceptions to an existing hierarchy
  • defining your own classes, superclasses, subclasses, inheritance, searching for missing class components, creating objects
  • exceptions hierarchy, assigning more than one exception to one except branch
  • class methods: defining and using, the self parameter meaning and usage
  • assertions
  • invoking methods, passing and using the self argument/parameter
  • the init method
  • inheritance and overriding, finding class/object components
  • hasattr(), type(), issubclass(), isinstance(), super() functions
  • class attributes: class variables and instance variables, defining, adding and removing attributes, explicit constructor invocation
  • the role of the str method

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What is the duration, language, and format of PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

  • Passing Score: 70%
  • Number of Questions: 40
  • Type of Questions: Single-choice and multiple-choice questions
  • Duration of Exam: 65 minutes + 10 minutes(Non-Disclosure Agreement/Tutorial)
  • Language of Exam: English

Reference: https://pythoninstitute.org/certification/pcap-certification-associate/

PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam Certified Professional salary

The estimated average salary of PCAP - Certified Associate in Python Programming (PCAP-31-02) professional is listed below:

  • India: 20,40,000 INR
  • England: 70,600 POUND
  • United States: 120,000 USD
  • Europe: 70,000 EURO

Python Institute PCAP-31-02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Exceptions14%- Exception handling
  • 1. else and finally clauses
  • 2. Raising exceptions
  • 3. try-except blocks
  • 4. Built-in exception hierarchy
Topic 2: Object-Oriented Programming34%- Advanced OOP
  • 1. Composition
  • 2. Introspection
  • 3. Properties
  • 4. Class variables and instance variables
- OOP concepts
  • 1. Method overriding
  • 2. Inheritance
  • 3. Encapsulation
  • 4. Polymorphism
- Classes and objects
  • 1. Object creation
  • 2. Class definition
  • 3. Attributes and methods
Topic 3: Miscellaneous Advanced Features22%- Python advanced techniques
  • 1. Lambda expressions
  • 2. List comprehensions
  • 3. File processing and I/O operations
  • 4. Generators
  • 5. Closures
Topic 4: Modules and Packages12%- Importing and using modules and packages
  • 1. sys.path usage
  • 2. dir() function
  • 3. import, from import, import as, import *
  • 4. Nested modules and package structure
- Standard library modules
  • 1. random module
  • 2. platform module
  • 3. math module
- User-defined modules and packages
  • 1. Creating packages
  • 2. Creating modules
  • 3. Package organization
Topic 5: Strings18%- String processing
  • 1. String formatting
  • 2. String operations and manipulation
  • 3. Character encoding and Unicode
  • 4. String methods

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