Practice Tests: Crack the Python PCEP Certification Exam | Free Udemy Course

If you're preparing for the Python PCEP Certified Entry-Level Programmer certification or a junior Python developer interview, taking these practice tests can boost your confidence and help you review Python fundamentals. These tests are fully aligned with the PCEP certification format, including the number and type of questions, time limit, and passing score. This makes them an excellent tool to evaluate your skills before the real exam. Besides assessing your knowledge, the tests also provide explanations for each question, which can help you comprehend the correct answer. However, note that these tests aren't a comprehensive Python course, and they're not intended for complete beginners. If you have no coding experience, it's recommended to first take dedicated PCEP courses on Udemy. Each test in this course consists of 30 questions, and you have 45 minutes to complete it. The passing score is 70%.What do the Tests consist of?Understand fundamental terms and definitionsinterpreting and the interpreter, compilation and the compilerlexis, syntax, and semanticsUnderstand Python’s logic and structurekeywordsinstructionsindentationcommentsIntroduce literals and variables into code and use different numeral systemsBoolean, integers, floating-point numbersscientific notationstringsbinary, octal, decimal, and hexadecimal numeral systemsvariablesnaming conventionsimplementing PEP-8 recommendationsChoose operators and data types adequate to the problemnumeric operators: ** * / % // + –string operators: * +assignment and shortcut operatorsunary and binary operatorspriorities and bindingbitwise operators: ~ & ^ | << >>Boolean operators: not, and, orBoolean expressionsrelational operators ( == != > >= < <= )the accuracy of floating-point numberstype castingPerform Input/Output console operationsthe print() and input() functionsthe sep= and end= keyword parametersthe int() and float() functionsMake decisions and branch the flow with the if instructionconditional statements: if, if-else, if-elif, if-elif-elsemultiple conditional statementsnesting conditional statementsPerform different types of iterationsthe pass instructionbuilding loops with while, for, range(), and initerating through sequencesexpanding loops with while-else and for-elsenesting loops and conditional statementscontrolling loop execution with break and continueCollect and process data using listsconstructing vectorsindexing and slicingthe len() functionlist methods: append(), insert(), index(), etc.functions: len(), sorted()the del instructioniterating through lists with the for loopinitializing loopsthe in and not in operatorslist comprehensionscopying and cloninglists in lists: matrices and cubesCollect and process data using tuplestuples: indexing, slicing, building, immutabilitytuples vs. lists: similarities and differenceslists inside tuples and tuples inside listsCollect and process data using dictionariesdictionaries: building, indexing, adding and removing keysiterating through dictionaries and their keys and valueschecking the existence of keysmethods: keys(), items(), and values()Operate with stringsconstructing stringsindexing, slicing, immutabilityescaping using the \ characterquotes and apostrophes inside stringsmulti-line stringsbasic string functions and methodsDecompose the code using functionsdefining and invoking user-defined functions and generatorsthe return keyword, returning resultsthe None keywordrecursionOrganize interaction between the function and its environmentparameters vs. argumentspositional, keyword, and mixed argument passingdefault parameter valuesname scopes, name hiding (shadowing), and the global keywordPython Built-In Exceptions HierarchyBaseExceptionExceptionSystemExitKeyboardInterruptabstract exceptionsArithmeticErrorLookupErrorIndexErrorKeyErrorTypeErrorValueErrorBasics of Python Exception Handlingtry-except / the try-except Exceptionordering the except branchespropagating exceptions through function boundariesdelegating responsibility for handling exceptionsWho this course is for:This course is suitable for individuals who intend to pass the Python PCEP certification.It is also designed for beginner-level Python developers who want to improve their programming skills.People who are preparing for junior Python roles can benefit from this course.This course can be helpful for students who are preparing for basic Python exams.Who this course is for:This course is suitable for individuals who intend to pass the Python PCEP certification.It is also designed for beginner-level Python developers who want to improve their programming skills.People who are preparing for junior Python roles can benefit from this course.This course can be helpful for students who are preparing for basic Python exams.

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