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Python Institute PCAP-31-03 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Object-Oriented Programming: Aimed at a Backend Developer, this domain tests comprehensive object-oriented knowledge. Candidates must construct classes with instance and class variables, apply encapsulation, inheritance (including multiple inheritance and method overriding), introspect class structures with attributes like __dict__, and implement constructors and __str__ methods.
Topic 2
  • Strings: This section measures skills of a Python Scriptor and focuses on string manipulation and encoding. It covers understanding ASCII and UTF?8 encodings, basic indexing and slicing operations, iteration, and the use of built?in string methods such as split() and find() for text processing tasks.
Topic 3
  • Exceptions: Targeting a Software Engineer, this domain evaluates exception handling proficiency. Candidates must show how to catch and raise exceptions, understand exception hierarchies, use assert, and define custom error classes to support robust error detection and handling in production code.
Topic 4
  • Modules and Packages: This section of the exam measures skills of a Python Developer and assesses understanding of Python's modular architecture. Candidates must demonstrate import techniques, utilise standard libraries like math, random, and platform for computations and system data, and create user-defined packages, exploring module discovery mechanisms such as __init__.py, __name__, and __pycache.
Topic 5
  • Miscellaneous: This section assesses the abilities of a Data Engineer to employ advanced Python features such as list comprehensions, lambda functions, closures, and basic file I
  • O operations. It includes constructing nested lists, using functional programming constructs like map() and filter(), defining closures, and performing read-write operations in both text and binary modes.

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

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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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam Certified Professional salary

The estimated average salary of PCAP - Certified Associate in Python Programming (PCAP-31-03) professional is listed below:

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

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