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PCEP Questions & Answers

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Vendor Name : Python Institute
Exam Name : Certified Entry-Level Python Programmer Certification
Total Questions : 145
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PCEP Practice Exam

PCEP Python Programmer Complete Certification by Dr. Chris Mall

This comprehensive course, designed by Dr. Chris Mall, equips you with all the knowledge needed to pass the Python PCEP-30-01 and PCAP-31 Certification Exams. The course is structured to provide a thorough understanding of the Python PCEP Programmer Exams methodology and covers essential programming concepts extensively.

Basic Concepts

  • Fundamental Concepts: Understanding interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax, and semantics, Python keywords, instructions, and indenting.
  • Literals: Boolean, integer, floating-point numbers, scientific notation, and 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: ==, !=, >, >=, <, <=
  • Accuracy of Floating-Point Numbers
  • Basic Input and Output Operations: Using 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.

Flow Control Loops and Conditional Blocks

  • 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: Escaping using the \ character, quotes and apostrophes inside strings, multiline strings, basic string functions.

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

Who This Course Is For:

  • Complete Programming Beginners: Perfect for those with no previous coding experience.
  • Intermediates: Those looking to sharpen their skills to the expert level.
  • Anyone Wanting to Learn Python Fundamentals
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