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

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

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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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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:

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

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
• 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
• 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
• tuples: indexing, slicing, building, immutability

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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