Python Institute PCAP-31-03 Exam : Certified Associate in Python Programming

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Introduction to PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

PCAP - Certified Python Programming Associate (PCAP-31-03) qualification is a technical certificate that tests the ability to perform coding tasks in the Python language related to the fundamentals of programming and the basic notions and techniques used in object-oriented programming.

PCAP - Certified Associate in Python Programming (PCAP-31-03) certification indicates that the person is familiar with general computer programming concepts such as conditional execution, loops, the syntax of the Python programming language, semantics, and runtime environment, as well as general coding and object-oriented programming techniques.

Becoming certified by PCAP ensures that you are fully familiar with all the primary means offered by Python 3 to enable you to begin your studies and open a path to the career of the developer.

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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

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

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

Objectives covered by this section:

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

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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.

Python Institute PCAP-31-03 Exam Syllabus Topics: