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

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Python Institute PCAP-31-03 Exam Syllabus Topics:

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

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Python Institute Official Website Preparation Material FAQs and Guide

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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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