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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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

  • lists in lists: matrices and cubes
  • tuples: indexing, slicing, building, immutability
  • 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 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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

How to Prepare for PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

Preparation Guide for PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

Introduction

The Python Institute is a fully independent, non-profit project set up by the Open Education and Development Group (OpenEDG) to promote the language of Python programming, train a new generation of Python programmers, and promote technical careers in Python programming and related technologies. The OpenEDG Python Institute offers an independent global platform for high-stakes Python programming exams in line with the strategic objectives aligned with the improvement and growth of careers in Python programming.

The Opened Python Institute provides training courses at all levels of Python programming, from absolute beginners to experienced skilled programmers, and all the online self-study courses offered by the Python Institute are free for everyone, just as Python itself is free and open-source. In collaboration with Pearson VUE, the world's pioneer in computer-based testing, the OpenEDG Python Institute also provides independent and vendor-neutral Python programming language certification.

The Python Institute helps highly motivated programmers and data analysts to gain access to the best-paid, most fascinating jobs in Python programming through its rigorous certification process. The purpose of the Python Institute is to provide the skills required to produce Python content at a more advanced and technical level, following the best practices in programming, to every Python programmer, and every aspiring Python programmer.

This guide provides a detailed overview of the PCAP - Certified Associate in Python Programming (PCAP-31-03) certification including all sorts of prerequisites for the exam, the exam format, topics covered, pcap-31-03 exam dumps and preparation methods, and pcap-31-03 practice exams.

How much PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam Cost

The full fee for the PCAP - Certified Associate in Python Programming (PCAP-31-03) exam is USD 295. This fee includes a free exam retake as well. However, students can be eligible for discounts. Students who take the online learning course from Python Institute will be eligible for a 50% discount, making the exam fee USD 147.5. Students who take the instructor-led course from Cisco Networking Academy will be eligible for a 51% discount, making the exam fee USD 144.55. For more information related to exam price, please visit Python Institute Exam Fees

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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
  • 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.
Topic 3
  • 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 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
  • 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.

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

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