PCEP-30-01PCEP-30-02 Python Certification Practice Tests

Understand fundamental terms and definitions
interpreting and the interpreter, compilation and the compiler, lexis, syntax and semantics

Understand Python’s logic and structure
keywords, instructions, indenting, comments

Introduce literals and variables into code and use different numeral systems
Boolean, integers, floating-point numbers, scientific notation, strings, binary, octal, decimal, and hexadecimal numeral system, variables, naming conventions, implementing PEP-8 recommendations

Choose operators and data types adequate to the problem
numeric operators: ** * / % // + –, string operators: * +, assignments and shortcut operators, operators: unary and binary, priorities and binding, bitwise operators: ~ & ^ | << >>, Boolean operators: not and or, Boolean expressions, relational operators ( == != > >= < <= ), the accuracy of floating-point numbers, type casting

Perform Input/Output console operations
print(), input() functions, sep= and end= keyword parameters, int() and float() functions

Make decisions and branch the flow with the if instruction
conditional statements: if, if-else, if-elif, if-elif-else, multiple conditional statements, nesting conditional statements

Perform different types of iterations
the pass instruction, building loops with while, for, range(), and in; iterating through sequences, expanding loops with while-else and for-else, nesting loops and conditional statements, controlling loop execution with break and continue

Collect and process data using lists
constructing vectors, indexing and slicing, the len() function, basic list methods (append(), insert(), index()) and functions (len(), sorted(), etc.), the del instruction; iterating through lists with the for loop, initializing loops; in and not in operators, list comprehensions; copying and cloning, lists in lists: matrices and cubes

Collect and process data using tuples
tuples: indexing, slicing, building, immutability; tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists

Collect and process data using dictionaries
dictionaries: building, indexing, adding and removing keys; iterating through dictionaries and their keys and values, checking the existence of keys; keys(), items() and values() methods

Operate with strings
constructing strings, indexing, slicing, immutability; escaping using the character; quotes and apostrophes inside strings, multi-line strings, basic string functions and methods

Decompose the code using functions
defining and invoking user-defined functions and generators; the return keyword, returning results, the None keyword, recursion

Organize interaction between the function and its environment
parameters vs. arguments; positional, keyword and mixed argument passing; default parameter values, name scopes, name hiding (shadowing), the global keyword

Python Built-In Exceptions Hierarchy
BaseException, Exception, SystemExit, KeyboardInterrupt, abstractive exceptions, ArithmeticError, LookupError along with IndexError and KeyError; TypeError and ValueError exceptions, the AssertError exception along with the assert keyword

Basics of Python Exception Handling
try-except, try-except Exception, ordering the except branches, propagating exceptions through function boundaries; delegating responsibility for handling exceptions