Certified Entry-Level Python Programmer (PCEP)
in Embedded SystemWhat you will learn?
Understand fundamental concepts of Python programming.
Learn about different data types and basic I/O operations.
Master control flow mechanisms including loops and conditional statements.
Gain proficiency in working with data collections such as lists, tuples, and dictionaries.
Develop skills to define and use functions effectively.
About this course
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 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, indexing, slicing
- basic list methods: append(), insert(), index(), remove(), pop(), reverse(), sort()
- lists in lists: matrices and cubes
- tuples: indexing, slicing, immutability
- basic tuple functions: len(), index(), count()
- tuples vs. lists: similarities and differences
- dictionaries: building, indexing, adding and removing keys, iterating through dictionaries and their keys and values
- basic dictionary methods: keys(), values(), items(), get()
Exam block #5: Functions (20%)
Objectives covered by the block (6 exam items)
- defining functions
- invoking functions
- returning results
- function arguments: positional, keyword, default
- the None value
- returning multiple results
Requirements
The course start after Hello world! , Basics required
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Introduction
Python : Introduction to python
Python : Formatting and Outputting Data
Python : Boolean Values
Python : Function Arguments
Python : Set , Tuples and List
Python Conditional Statements and loops
Python : Pandas
Python : Numpy and Matplotlib
Python algorithms for data structure with Array
Python Algorithms: Arithmatics
Python Algorithms : N Queens with Array and Arithmatics
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