Python Institute PCAP-31-03 : Certified Associate in Python Programming

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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:

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

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

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

2. Data Aggregates (25%)

Objectives covered by this section:

• 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
• 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
• 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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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Python Institute PCAP-31-03 Exam Syllabus Topics: