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

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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:

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

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

3. Functions and Modules (25%)

Objectives covered by this section:

• defining and invoking your functions and generators
• import directives, qualifying entities with module names, initializing modules
• lambda functions, defining and using
• pyc file creation and usage
• writing and using modules, the name variable
• hiding module entities
• return and yield keywords, returning results, the None keyword, recursion
• parameters vs. arguments, positional keyword and mixed argument passing, default parameter values
• converting generator objects into lists using the list() function
• constructing and distributing packages, packages vs. directories, the role of the init.py file
• Python hashbangs, using multiline strings as module documentation
• 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 attributes: class variables and instance variables, defining, adding, and removing attributes, explicit constructor invocation
• the try-except-else-finally block, the raise statement, the except-as variant
• name mangling
• 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
• using predefined exceptions and defining your ones
• single inheritance vs. multiple inheritances
• inheritance and overriding, finding class/object components
• read(), readinto(), readline(), write(), close() methods
• introspection: dict, name, module, bases properties, examining class/object structure
• hasattr(), type(), issubclass(), isinstance(), super() functions
• exceptions hierarchy, assigning more than one exception to one except branch
• adding your exceptions to an existing hierarchy
• the role of the str method
• class methods: defining and using the self-parameter meaning and usage
• 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
• assertions
• writing and using constructors
• the init method

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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