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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:

• basic input and output: input(), print(), int(), float(), str() functions
• assignments and shortcut operators
• literals: Boolean, integer, floating-point numbers, scientific notation, strings
• accuracy of floating-point numbers
• bitwise operators: ~ & ^ | « »
• numeric operators: * / % // + -
• formatting print() output with end= and sep= arguments
• operators: unary and binary, priorities and binding
• conditional statements: if, if-else, if-elif, if-elif-else
• building loops: while, for, range(), in, iterating through sequences
• controlling loop execution: break, continue
• relational operators (== != > >= < <= ), building complex Boolean expressions
• expanding loops: while-else, for-else, nesting loops, and conditional statements
• 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
• the pass instruction
• simple lists: constructing vectors, indexing, and slicing, the len() function
• string operators: * +
• simple strings: constructing, assigning, indexing, slicing comparing, immutability

2. Data Aggregates (25%)

Objectives covered by this section:

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

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

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

Objectives covered by this section:

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

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How much PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam Cost

The full fee for the PCAP - Certified Associate in Python Programming (PCAP-31-03) exam is USD 295. This fee includes a free exam retake as well. However, students can be eligible for discounts. Students who take the online learning course from Python Institute will be eligible for a 50% discount, making the exam fee USD 147.5. Students who take the instructor-led course from Cisco Networking Academy will be eligible for a 51% discount, making the exam fee USD 144.55. For more information related to exam price, please visit Python Institute Exam Fees

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

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