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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

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

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

Objectives covered by this section:

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

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

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

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

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