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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
- building loops: while, for, range(), in, iterating through sequences
- relational operators (== != > >= < <= ), building complex Boolean expressions
- the pass instruction
- literals: Boolean, integer, floating-point numbers, scientific notation, strings
- expanding loops: while-else, for-else, nesting loops, and conditional statements
- accuracy of floating-point numbers
- conditional statements: if, if-else, if-elif, if-elif-else
- Boolean operators: not and or
- bitwise operators: ~ & ^ | « »
- simple strings: constructing, assigning, indexing, slicing comparing, immutability
- operators: unary and binary, priorities and binding
- string operators: * +
- simple lists: constructing vectors, indexing, and slicing, the len() function
- basic input and output: input(), print(), int(), float(), str() functions
- basic concepts: interpreting and the interpreter, compilation and the compiler, language elements, lexis, syntax and semantics, Python keywords, instructions, indenting
- assignments and shortcut operators
- numeric operators: * / % // + -
- formatting print() output with end= and sep= arguments
2. Data Aggregates (25%)
Objectives covered by this section:
- tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
- 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
- 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:
- import directives, qualifying entities with module names, initializing modules
- pyc file creation and usage
- Python hashbangs, using multiline strings as module documentation
- lambda functions, defining and using
- name scopes, name hiding (shadowing), the global keyword
- hiding module entities
- the if operator
- defining and invoking your functions and generators
- converting generator objects into lists using the list() function
- parameters vs. arguments, positional keyword and mixed argument passing, default parameter values
- map(), filter(), reduce(), reversed(), sorted() functions and the sort() method
- writing and using modules, the name variable
- return and yield keywords, returning results, the None keyword, recursion
- constructing and distributing packages, packages vs. directories, the role of the init.py file
4. Classes, Objects, and Exceptions (25%)
Objectives covered by this section:
- class methods: defining and using the self-parameter meaning and usage
- the anatomy of an exception object
- adding your exceptions to an existing hierarchy
- read(), readinto(), readline(), write(), close() methods
- assertions
- name mangling
- the role of the str method
- defining your classes, superclasses, subclasses, inheritance, searching for missing class components, creating objects
- writing and using constructors
- the init method
- invoking methods, passing and using the self-argument/parameter
- using predefined exceptions and defining your ones
- hasattr(), type(), issubclass(), isinstance(), super() functions
- introspection: dict, name, module, bases properties, examining class/object structure
- single inheritance vs. multiple inheritances
- 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
- inheritance and overriding, finding class/object components
- 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






