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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:

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

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam Certified Professional salary

The estimated average salary of PCAP - Certified Associate in Python Programming (PCAP-31-03) professional is listed below:

• India: 20,40,000 INR
• England: 70,600 POUNDS
• United States: 120,000 USD
• Europe: 70,000 EURO

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Python Institute PCAP-31-03 Exam Syllabus Topics:

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

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
• Students at universities
• High school students
• Vocational school students
• Anyone involved in computer training

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