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Reference: https://pythoninstitute.org/certification/pcap-certification-associate/pcap-exam-syllabus/
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How to study the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam
Preparation and study materials for the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam is provided by several online platforms including the Python Institute for free. Interested candidates can simply search online with the name of the exam and can find learning materials or take the highly recommended PCAP-31-03 practice exams. To use the material provided by Python Institute, sign up for PCAP - Certified Associate in Python Programming (PCAP-31-03) course to immerse yourself in programming and to learn Python from scratch. Their course will train you for jobs and professions related to the widely known development of the software, which involves not only developing the code itself as a junior developer, but also designing computer systems and testing software.
Completing this course can be a step-stone for learning some other language of programming and exploring technologies that use Python as a basis (e.g., Django). This introductory course is characterized by its student affordability, friendliness, and transparency. It all starts from the absolute basics, leading you to complex problems step by step, making you a responsible software developer capable of taking on numerous challenges in many IT industry positions. Refer to the links at the end of this document for more information on study materials.
PCAP - Certified Associate in Python Programming (PCAP-31-03) Certification Path
The Certified Associate in Python Programming Certification includes only one PCAP-31-03 exam. There are no official prerequisites for the exam, but the applicants are recommended to have little prior knowledge of any programming language, should have very basic knowledge of Mathematics, and have attempted the PCAP-31-03 practice exams.
Python Institute PCAP-31-03 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Control Flow | 15% | - Loop Statements (break, continue, pass) - Loops (while, for) - Logical and Bitwise Operators - Conditional Blocks (if, elif, else) - Program Optimization |
| Topic 2: Modules and Packages | 10% | - pip and PyPI - Module Imports (import, from...import) - Module Search Path (sys.path) - Virtual Environments - dir() and __name__ - Package Structure - Standard Library Modules |
| Topic 3: Object-Oriented Programming | 30% | - Destructor (__del__) - Classes and Objects - Super() Function - Attributes and Methods - Inheritance and Multiple Inheritance - Constructor (__init__, __new__) - Encapsulation - Polymorphism - Class Variables and Instance Variables - Method Overriding |
| Topic 4: Functions | 25% | - Default Parameters - Lambda Functions - Variable Number of Arguments (*args, **kwargs) - Name Scopes and Namespace - Arguments and Return Values - Positional and Keyword Arguments - Decorators and Closures - Function Definition and Invocation |
| Topic 5: Data Collections | 20% | - Sorting Techniques - Strings and String Operations - Tuples and Tuple Operations - Lists and List Operations - Sequences and Indexing - Dictionaries and Dictionary Operations |
