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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/

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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

• lists in lists: matrices and cubes
• 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
• 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
• tuples: indexing, slicing, building, immutability

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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Python Institute PCAP-31-02 Exam Syllabus Topics: