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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