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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

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How to book the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

You must follow these steps to participate in the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam:

• Step 1: Move to the official website of Python Institute
• Step 2: Tap on “Schedule Exam” in the options on the website
• Step 3: Create a user account, or sign in if you already have an account
• Step 4: Select the exam, date, time and confirm the application by paying for the exam

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:

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

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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Python Institute PCAP-31-03 Exam Syllabus Topics:

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