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Difficulty in Writing PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

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

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:

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

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
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
tuples: indexing, slicing, building, immutability

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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