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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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

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.

How to study the PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

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