Python Training

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