Prepare with Python Institute : PCAP-31-03 exam braindumps as your best preparation materials

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.

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

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:

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

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

3. Functions and Modules (25%)

Objectives covered by this section:

• parameters vs. arguments, positional keyword and mixed argument passing, default parameter values
• import directives, qualifying entities with module names, initializing modules
• defining and invoking your functions and generators
• converting generator objects into lists using the list() function
• hiding module entities
• name scopes, name hiding (shadowing), the global keyword
• 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
• pyc file creation and usage
• constructing and distributing packages, packages vs. directories, the role of the init.py file
• Python hashbangs, using multiline strings as module documentation
• lambda functions, defining and using
• the if operator

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

Objectives covered by this section:

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

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