Python Institute PCAP-31-03 Exam Syllabus Topics:

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

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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

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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.

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:

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

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
• 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
• lists in lists: matrices and cubes

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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