Pass Python Institute PCAP-31-03 exam questions - convert Test Engine to PDF [Q18-Q32]

27 Apr, 2023 By admin PCAP-31-03, Python Institute 0 Comments

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Pass Python Institute PCAP-31-03 exam questions – convert Test Engine to PDF

Pass Your PCAP-31-03 Exam Easily – Real PCAP-31-03 Practice Dump Updated Apr 27, 2023

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
literals: Boolean, integer, floating-point numbers, scientific notation, strings
building loops: while, for, range(), in, iterating through sequences
simple lists: constructing vectors, indexing, and slicing, the len() function
Boolean operators: not and or
controlling loop execution: break, continue
expanding loops: while-else, for-else, nesting loops, and conditional statements
bitwise operators: ~ & ^ | « »
assignments and shortcut operators
numeric operators: * / % // + –
operators: unary and binary, priorities and binding

2. Data Aggregates (25%)

Objectives covered by this section:

tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
lists in lists: matrices and cubes
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
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: indexing, slicing, building, immutability

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

exceptions hierarchy, assigning more than one exception to one except branch
single inheritance vs. multiple inheritances
introspection: dict, name, module, bases properties, examining class/object structure
class methods: defining and using the self-parameter meaning and usage
the try-except-else-finally block, the raise statement, the except-as variant
read(), readinto(), readline(), write(), close() methods
defining your classes, superclasses, subclasses, inheritance, searching for missing class components, creating objects
the init method
the anatomy of an exception object
inheritance and overriding, finding class/object components
assertions
adding your exceptions to an existing hierarchy
writing and using constructors