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

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.

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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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