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

2. Data Aggregates (25%)

Objectives covered by this section:

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

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

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

Objectives covered by this section:

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

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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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