Certified Entry-Level Python Programmer (PCEP)
Certified Entry-Level Python Programmer (PCEP), Certified Entry-Level Python Programmer (PCEP) Introductory Course with Python Data analytics and Python Algorithms.
Course Description
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