Exam Code: CPPP-001
Exam Name: Certified Professional Python Programmer (CPPP)
Certification Provider: GAQM
Corresponding Certification: GAQM: Python
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Certified Professional Python Programmer (CPPP): CPPP-001 Exam

"Certified Professional Python Programmer (CPPP)", also known as CPPP-001 exam, is a GAQM Certification. With the complete collection of questions and answers, UpdateDumps has assembled to take you through 0 Q&As to your CPPP-001 Exam preparation. In the CPPP-001 exam resources, you will cover every field and category in GAQM: Python Certification helping to ready you for your successful GAQM Certification.

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GAQM CPPP-001 Exam Syllabus Topics:

SectionWeightObjectives
Data Structures & Control Flow25%- Control Structures
  • 1. Break, continue, and pass
    • 2. For and while loops
      • 3. Conditional statements
        - Built-in Collections
        • 1. Indexing, slicing, and iteration
          • 2. Range and sequence operations
            • 3. Lists, tuples, sets, dictionaries
              Functions, Modules & Packages20%- Function Definition & Usage
              • 1. Lambda functions and higher-order functions
                • 2. Parameters, return values, scope
                  • 3. Decorators and generators
                    - Code Organization
                    • 1. PEP 8 coding standards
                      • 2. Creating and importing modules
                        • 3. Package structure and imports
                          Error Handling, File I/O & Libraries15%- Standard Libraries
                          • 1. os, sys, datetime, math modules
                            • 2. Regular expressions
                              - File & Data Operations
                              • 1. Context managers (with statement)
                                • 2. JSON, CSV serialization
                                  • 3. Reading/writing text and binary files
                                    - Exception Handling
                                    • 1. Try-except-else-finally blocks
                                      • 2. Built-in and custom exceptions
                                        Object-Oriented Programming20%- Advanced OOP
                                        • 1. Composition vs inheritance
                                          • 2. Method overriding and overloading
                                            • 3. Abstract base classes
                                              - Core OOP Concepts
                                              • 1. Classes and objects
                                                • 2. Magic/special methods
                                                  • 3. Encapsulation, inheritance, polymorphism
                                                    Python Fundamentals20%- Language Overview & Setup
                                                    • 1. Installation and IDE selection
                                                      • 2. Python philosophy and versions
                                                        • 3. REPL and basic syntax rules
                                                          - Data Types & Operators
                                                          • 1. Arithmetic, comparison, logical operators
                                                            • 2. Bytes and bytearray
                                                              • 3. Numeric, string, boolean types

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