Certified Entry-Level Python Programmer (PCEP)

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

What you'll learn:
Introduction to Python
Certified Entry-Level Python Programmer (PCEP) Topics Overview
Data Analytics tool for Python
Algorithms

Requirements:
The course start after Hello world! , Basics required

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

Who this course is for:
Interested to explore opportunities with Python development

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