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Certified Entry-Level Python Programmer Training

The Certified Python Entry Level Programmer (PCEP) certification provides students with a solid understanding of the Python language and builds a solid foundation for more advanced Python training and certification.  Master Python sequences, understand the dynamic and strongly typed nature of Python and what this means for function design.

PCEP | Certified Entry-Level Python Programmer Certification

  • Basic Concepts
    • 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
  • Data Types, Evaluations, and Basic I/O Operations
    • 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, slicing comparing, immutability
  • Flow Control – loops and conditional blocks (20%)
    • 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
  • Data Collections – Lists, Tuples, and Dictionaries
    • 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: ASCII, UNICODE, UTF-8, immutability, escaping using the \ character, quotes and apostrophes inside strings, multiline strings, copying vs. cloning, advanced slicing, string vs. string, string vs. non-string, basic string methods (upper(), lower(), isxxx(), capitalize(), split(), join(), etc.) and functions (len(), chr(), ord()), escape characters
  • Functions
    •  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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