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Python Institute PCAP-31-03 Exam Syllabus Topics:

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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

PCAP - Certified Associate in Python Programming (PCAP-31-03) Certification Path

The Certified Associate in Python Programming Certification includes only one PCAP-31-03 exam. There are no official prerequisites for the exam, but the applicants are recommended to have little prior knowledge of any programming language, should have very basic knowledge of Mathematics, and have attempted the PCAP-31-03 practice exams.

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