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

2. Data Aggregates (25%)

Objectives covered by this section:

  • 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
  • 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
  • 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
  • tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
  • tuples: indexing, slicing, building, immutability

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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

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:

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

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  • Among competitors, Certified Associate in Python Programming is distinct. At that time, a Certified Associate in Python Programming qualification will easily give them an advantage when applicants appear for a job interview employer want to inform something that distinguishes the individual from another.
  • The Certified Associate in Python Programming knows how to use the software to accomplish the job efficiently and cost-effectively than other non-certified professionals do not.
  • As their skills are more trained than non-certified professionals, a Certified Associate in Python Programming would be assured and stand separate from others.
  • There are more useful and appropriate networks for the PCAP-31-03 Exam that help them set career goals for themselves. Certified Associate in Python programming networks provides them with the right career path than they are typically unable to get without qualification.
  • Certified Python Programming Certifications Associate offers opportunities to quickly get a job in which they are interested rather than wasting years and finishing without any experience.
  • Certified Associate in Python Programming Qualification provides applicants with practical experience in all facets of becoming a professional worker in the company.

What is the duration, language, and format of PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

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

Python Institute PCAP-31-03 Exam Syllabus Topics:

SectionWeightObjectives
Object-Oriented Programming34%- Introspection and attributes
  • 1. hasattr(), getattr(), setattr()
  • 2. __name__, __module__, __bases__
- Class and instance variables
  • 1. Private components and name mangling
  • 2. Declaration and initialization
  • 3. __dict__ attribute
- Methods
  • 1. Instance methods, self parameter
  • 2. Special methods: __init__, __str__, __len__, etc.
- Inheritance
  • 1. isinstance(), issubclass()
  • 2. Single and multiple inheritance
  • 3. Diamond problem and MRO
  • 4. Overriding methods and super()
- Core concepts: class, object, encapsulation, inheritance, polymorphism
Modules and Packages12%- Custom modules and packages
  • 1. __pycache__ directory
  • 2. __name__ variable
  • 3. Public vs private components
  • 4. __init__.py file
- Module built-ins and environment
  • 1. dir() function
  • 2. sys.path variable
- Standard modules usage
  • 1. math module: ceil, floor, trunc, factorial, hypot, sqrt
  • 2. platform module: system, version, implementation details
  • 3. random module: random, seed, choice, sample
- Import mechanisms and variants
  • 1. Nested modules and qualification
  • 2. import, from ... import, import ... as, import *
Exceptions14%- Error handling syntax
  • 1. Exception chaining and arguments
  • 2. try, except, else, finally blocks
- User-defined exceptions
  • 1. Exception attributes and methods
  • 2. Defining and raising custom exceptions
- Exception hierarchy and built-in exceptions
Miscellaneous Concepts and I/O Operations22%- File system and OS interaction
  • 1. os and sys modules basics
- File I/O operations
  • 1. Text vs binary modes
  • 2. Opening, reading, writing, closing files
- List comprehensions
  • 1. Syntax and conditional expressions
- Functional programming tools
  • 1. Iterators and generators
  • 2. Lambda functions
  • 3. Closures and nested functions
- Coding conventions
  • 1. PEP 8 guidelines
Strings and String Operations18%- String methods
  • 1. isalpha, isdigit, isspace, etc.
  • 2. find, index, count, rfind, rindex
  • 3. join, split, strip, replace
- Character encoding and representation
  • 1. ASCII, UNICODE, UTF-8, escape sequences
  • 2. ord(), chr() functions
- Indexing, slicing, and immutability
- Operations on strings
  • 1. Concatenation, repetition, comparison
  • 2. Membership testing: in, not in

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