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

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

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

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

Objectives covered by this section:

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

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

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