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

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:

• Anyone involved in computer training
• Students with little to no previous programming awareness
• Vocational school students
• Students at universities
• High school students

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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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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:

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

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
• lists in lists: matrices and cubes
• 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 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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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