Certified Entry-Level Python Programmer (PCEP) | Udemy Coupons 2024

Python is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of its features support functional programming and aspect-oriented programming (including by metaprogramming[58] and metaobjects (magic methods)) PCEP – Certified Entry-Level Python Programmer Certification: Exam Syllabus

Exam block #1: Basic Concepts (17%)

Objectives covered by the block (5 exam items)

  • fundamental concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
  • literals: Boolean, integer, floating-point numbers, scientific notation, strings
  • comments
  • the print() function
  • the input() function
  • numeral systems (binary, octal, decimal, hexadecimal)
  • numeric operators: ** * / % // + –
  • string operators: * +
  • assignments and shortcut operators

Exam block #2: Data Types, Evaluations, and Basic I/O Operations (20%)

Objectives covered by the block (6 exam items)

  • operators: unary and binary, priorities and binding
  • bitwise operators: ~ & ^ | << >>
  • Boolean operators: not and or
  • Boolean expressions
  • relational operators ( == != > >= < <= ), building complex Boolean expressions
  • accuracy of floating-point numbers
  • basic input and output operations using the input(), print(), int(), float(), str(), len() functions
  • formatting print() output with end= and sep= arguments
  • type casting
  • basic calculations
  • simple strings: constructing, assigning, indexing, immutability

Exam block #3: Control Flow – loops and conditional blocks (20%)

Objectives covered by the block (6 exam items)

  • conditional statements: if, if-else, if-elif, if-elif-else
  • multiple conditional statements
  • the pass instruction
  • building loops: while, for, range(), in
  • iterating through sequences
  • expanding loops: while-else, for-else
  • nesting loops and conditional statements
  • controlling loop execution: break, continue

Exam block #4: Data Collections – Lists, Tuples, and Dictionaries (23%)

Objectives covered by the block (7 exam items)

  • simple lists: constructing vectors, indexing and slicing, the len() function
  • 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
  • lists in lists: matrices and cubes
  • tuples: indexing, slicing, building, immutability
  • tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
  • 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: escaping using the character, quotes and apostrophes inside strings, multi-line strings, basic string functions.

Exam block #5: Functions (20%)

Objectives covered by the block (6 exam items)

  • defining and invoking your own functions and generators
  • return and yield keywords, returning results,
  • the None keyword,
  • recursion
  • parameters vs. arguments,
  • positional keyword and mixed argument passing,
  • default parameter values
  • converting generator objects into lists using the list() function
  • name scopes, name hiding (shadowing), the global keyword

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