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

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

Python Institute PCAP-31-02 Exam Syllabus Topics:

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

PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam Certified Professional salary

The estimated average salary of PCAP - Certified Associate in Python Programming (PCAP-31-02) professional is listed below:

• Europe: 70,000 EURO
• England: 70,600 POUND
• United States: 120,000 USD
• India: 20,40,000 INR

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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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

• 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
• 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
• 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
• tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
• tuples: indexing, slicing, building, immutability
• lists in lists: matrices and cubes

3. Functions and Modules (25%)

Objectives covered by this section:

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

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