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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:

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

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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

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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.

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Who should take the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

The qualification for the PCAP - Certified Associate in Python Programming (PCAP-31-03) exam is a globally recognized validation that recognizes individuals who receive it as having Python programming skills. If candidates want major changes in their career advancement, they need better knowledge, skills, and talents. Evidence of this advanced knowledge and ability is presented by the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam certification. If an applicant has the knowledge and skills needed to pass the PCAP - Certified Associate in Python Programming (PCAP-31-03) exam, Python Programming Language Syntax, Semantics, Runtime Setting, General Coding Techniques, and Object-Oriented Programming, then he can take this examination.

The following students can take the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam. The ability to use a personal computer and very basic mathematical skills are the only preliminary prerequisite:

• Students at universities
• Anyone involved in computer training
• Students with little to no previous programming awareness
• Vocational school students
• High school students