Introduction to PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

PCAP - Certified Python Programming Associate (PCAP-31-02) qualification is a technical certificate that tests the ability to perform coding tasks in the Python language related to the fundamentals of programming and the basic notions and techniques used in object-oriented programming.

PCAP - Certified Associate in Python Programming (PCAP-31-02) certification indicates that the person is familiar with general computer programming concepts such as conditional execution, loops, syntax of the Python programming language, semantics, and runtime environment, as well as general coding and object-oriented programming techniques.

Becoming certified by PCAP ensures that you are fully familiar with all the primary means offered by Python 3 to enable you to begin your own studies and open up a path to the career of the developer.

Reference: https://pythoninstitute.org/certification/pcap-certification-associate/

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What is the duration, language, and format of PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

• Number of Questions: 40
• Duration of Exam: 65 minutes + 10 minutes(Non-Disclosure Agreement/Tutorial)
• Passing Score: 70%
• Type of Questions: Single-choice and multiple-choice questions
• Language of Exam: English

Topics of PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

The syllabus for the PCAP - Certified Associate in Python Programming (PCAP-31-02) examination is listed below in detail of each section and their topics:

1. Control and Evaluations (25%)

Objectives covered by this section:

• basic input and output: input(), print(), int(), float(), str() functions
• literals: Boolean, integer, floating-point numbers, scientific notation, strings
• simple lists: constructing vectors, indexing and slicing, the len() function
• string operators: * +
• numeric operators: * / % // + -
• conditional statements: if, if-else, if-elif, if-elif-else
• basic concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
• controlling loop execution: break, continue
• relational operators ( == != > >= < <= ), building complex Boolean expressions
• operators: unary and binary, priorities and binding
• bitwise operators: ~ & ^ | « »
• building loops: while, for, range(), in, iterating through sequences
• formatting print() output with end= and sep= arguments
• Boolean operators: not and or
• simple strings: constructing, assigning, indexing, slicing comparing, immutability
• assignments and shortcut operators
• the pass instruction
• accuracy of floating-point numbers
• expanding loops: while-else, for-else, nesting loops and conditional statements

2. Data Aggregates (25%)

Objectives covered by this section:

• 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
• 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
• strings in detail: ASCII, UNICODE, UTF-8, immutability, escaping using the \ character, quotes and apostrophes inside strings, multiline strings, copying vs. cloning, advanced slicing, string vs. string, string vs. non-string, basic string methods (upper(), lower(), isxxx(), capitalize(), split(), join(), etc.) and functions (len(), chr(), ord()), escape characters

3. Functions and Modules (25%)

Objectives covered by this section:

• lambda functions, defining and using
• map(), filter(), reduce(), reversed(), sorted() functions and the sort() method
• import directives, qualifying entities with module names, initializing modules
• the if operator
• return and yield keywords, returning results, the None keyword, recursion
• name scopes, name hiding (shadowing), the global keyword
• parameters vs. arguments, positional keyword and mixed argument passing, default parameter values
• defining and invoking your own functions and generators
• Python hashbangs, using multiline strings as module documentation
• hiding module entities
• converting generator objects into lists using the list() function
• pyc file creation and usage
• writing and using modules, the name variable
• constructing and distributing packages, packages vs. directories, the role of the init.py file

4. Classes, Objects, and Exceptions (25%)

Objectives covered by this section:

• introspection: dict, name, module, bases properties, examining class/object structure
• using predefined exceptions and defining your own ones
• the try-except-else-finally block, the raise statement, the except-as variant
• defining your own classes, superclasses, subclasses, inheritance, searching for missing class components, creating objects
• single inheritance vs. multiple inheritance
• the init method
• the role of the str method
• name mangling
• hasattr(), type(), issubclass(), isinstance(), super() functions
• exceptions hierarchy, assigning more than one exception to one except branch
• adding your own exceptions to an existing hierarchy
• input/output basics: opening files with the open() function, stream objects, binary vs. text files, newline character translation, reading and writing files, bytearray objects
• inheritance and overriding, finding class/object components
• class attributes: class variables and instance variables, defining, adding and removing attributes, explicit constructor invocation
• invoking methods, passing and using the self argument/parameter
• assertions
• read(), readinto(), readline(), write(), close() methods
• writing and using constructors
• the anatomy of an exception object
• class methods: defining and using, the self parameter meaning and usage

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PCAP - Certified Associate in Python Programming (PCAP-31-02) Certification Path

The Certified Associate in Python Programming Certification includes only one PCAP-31-02 exam. There are no official prerequisites for the exam but the applicants are recommended to have little prior knowlegde of any programming language, should have very basic knowledge of Mathematics and have attempted the PCAP-31-02 practice exams.

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Python Institute PCAP-31-02 Exam Syllabus Topics: