Introduction to PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

PCAP - Certified Python Programming Associate (PCAP-31-03) 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-31-03) certification indicates that the person is familiar with general computer programming concepts such as conditional execution, loops, the 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 studies and open a path to the career of the developer.

Topics of PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

The syllabus for the PCAP-31-03 exam dumps is listed below in detail of each section and their topics:

1. Control and Evaluations (25%)

Objectives covered by this section:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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

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