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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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

  • lists in lists: matrices and cubes
  • 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
  • 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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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Who should take the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

The qualification for the PCAP - Certified Associate in Python Programming (PCAP-31-03) exam is a globally recognized validation that recognizes individuals who receive it as having Python programming skills. If candidates want major changes in their career advancement, they need better knowledge, skills, and talents. Evidence of this advanced knowledge and ability is presented by the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam certification. If an applicant has the knowledge and skills needed to pass the PCAP - Certified Associate in Python Programming (PCAP-31-03) exam, Python Programming Language Syntax, Semantics, Runtime Setting, General Coding Techniques, and Object-Oriented Programming, then he can take this examination.

The following students can take the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam. The ability to use a personal computer and very basic mathematical skills are the only preliminary prerequisite:

  • Anyone involved in computer training
  • Students at universities
  • Students with little to no previous programming awareness
  • Vocational school students
  • High school students

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

PCAP - Certified Associate in Python Programming (PCAP-31-03) Certification Path

The Certified Associate in Python Programming Certification includes only one PCAP-31-03 exam. There are no official prerequisites for the exam, but the applicants are recommended to have little prior knowledge of any programming language, should have very basic knowledge of Mathematics, and have attempted the PCAP-31-03 practice exams.

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It is well known that Certified Associate in Python Programming exam is an international recognition certification, which is very important for people who are engaged in the related field. The preson who pass the PCAP-31-03 exam can not only obtain a decent job with a higher salary, but also enjoy a good reputation in this industry. But it is difficult for most people to pass Certified Associate in Python Programming exam test. While, our Certified Associate in Python Programming practice questions can relieve your study pressure and give you some useful guide. We have been sparing no efforts to provide the most useful study material and the most effective instruction for our customer.

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Python Institute PCAP-31-03 Exam Syllabus Topics:

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

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