Cupón Udemy: Practice Tests: Crack the Python PCEP Certification Exam – Udemy Coupon

Test your Python knowledge with our comprehensive quiz to prepare for PCEP-30-02 or entry-level interviews.

Idioma

English

Descripción

If you’re preparing for the Python PCEP Certified Entry-Level Programmer certification or a junior Python developer interview, taking these practice tests can boost your confidence and help you review Python fundamentals. These tests are fully aligned with the PCEP certification format, including the number and type of questions, time limit, and passing score. This makes them an excellent tool to evaluate your skills before the real exam. Besides assessing your knowledge, the tests also provide explanations for each question, which can help you comprehend the correct answer. However, note that these tests aren’t a comprehensive Python course, and they’re not intended for complete beginners. If you have no coding experience, it’s recommended to first take dedicated PCEP courses on Udemy. Each test in this course consists of 30 questions, and you have 45 minutes to complete it. The passing score is 70%.

What do the Tests consist of?

Understand fundamental terms and definitions

interpreting and the interpreter, compilation and the compiler

lexis, syntax, and semantics

Understand Python’s logic and structure

keywords

instructions

indentation

comments

Introduce literals and variables into code and use different numeral systems

Boolean, integers, floating-point numbers

scientific notation

strings

binary, octal, decimal, and hexadecimal numeral systems

variables

naming conventions

implementing PEP-8 recommendations

Choose operators and data types adequate to the problem

numeric operators: ** * / % // + –

string operators: * +

assignment and shortcut operators

unary and binary operators

priorities and binding

bitwise operators: ~ & ^ | << >>

Boolean operators: not, and, or

Boolean expressions

relational operators ( == != > >= < <= )

the accuracy of floating-point numbers

type casting

Perform Input/Output console operations

the print() and input() functions

the sep= and end= keyword parameters

the int() and float() functions

Make decisions and branch the flow with the if instruction

conditional statements: if, if-else, if-elif, if-elif-else

multiple conditional statements

nesting conditional statements

Perform different types of iterations

the pass instruction

building loops with while, for, range(), and in

iterating through sequences

expanding loops with while-else and for-else

nesting loops and conditional statements

controlling loop execution with break and continue

Collect and process data using lists

constructing vectors

indexing and slicing

the len() function

list methods: append(), insert(), index(), etc.

functions: len(), sorted()

the del instruction

iterating through lists with the for loop

initializing loops

the in and not in operators

list comprehensions

copying and cloning

lists in lists: matrices and cubes

Collect and process data using tuples

tuples: indexing, slicing, building, immutability

tuples vs. lists: similarities and differences

lists inside tuples and tuples inside lists

Collect and process data using dictionaries

dictionaries: building, indexing, adding and removing keys

iterating through dictionaries and their keys and values

checking the existence of keys

methods: keys(), items(), and values()

Operate with strings

constructing strings

indexing, slicing, immutability

escaping using the \ character

quotes and apostrophes inside strings

multi-line strings

basic string functions and methods

Decompose the code using functions

defining and invoking user-defined functions and generators

the return keyword, returning results

the None keyword

recursion

Organize interaction between the function and its environment

parameters vs. arguments

positional, keyword, and mixed argument passing

default parameter values

name scopes, name hiding (shadowing), and the global keyword

Python Built-In Exceptions Hierarchy

BaseException

Exception

SystemExit

KeyboardInterrupt

abstract exceptions

ArithmeticError

LookupError

IndexError

KeyError

TypeError

ValueError

Basics of Python Exception Handling

try-except / the try-except Exception

ordering the except branches

propagating exceptions through function boundaries

delegating responsibility for handling exceptions

Who this course is for:

This course is suitable for individuals who intend to pass the Python PCEP certification.

It is also designed for beginner-level Python developers who want to improve their programming skills.

People who are preparing for junior Python roles can benefit from this course.

This course can be helpful for students who are preparing for basic Python exams.

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