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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

• 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
• 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
• 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 vs. lists: similarities and differences, lists inside tuples and tuples inside lists

3. Functions and Modules (25%)

Objectives covered by this section:

• hiding module entities
• constructing and distributing packages, packages vs. directories, the role of the init.py file
• the if operator
• return and yield keywords, returning results, the None keyword, recursion
• defining and invoking your functions and generators
• import directives, qualifying entities with module names, initializing modules
• pyc file creation and usage
• lambda functions, defining and using
• writing and using modules, the name variable
• 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
• name scopes, name hiding (shadowing), the global keyword
• Python hashbangs, using multiline strings as module documentation

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

Objectives covered by this section:

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

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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.

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

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Python Institute PCAP-31-03 Exam Syllabus Topics: