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

You must follow these steps to participate in the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam:

• Step 1: Move to the official website of Python Institute
• Step 2: Tap on “Schedule Exam” in the options on the website
• Step 3: Create a user account, or sign in if you already have an account
• Step 4: Select the exam, date, time and confirm the application by paying for the exam

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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

• 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
• 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
• 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:

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

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

Objectives covered by this section:

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

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Python Institute PCAP-31-03 Exam Syllabus Topics: