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PCAP - Certified Associate in Python Programming (PCAP-31-02) Certification Path

The Certified Associate in Python Programming Certification includes only one PCAP-31-02 exam. There are no official prerequisites for the exam but the applicants are recommended to have little prior knowlegde of any programming language, should have very basic knowledge of Mathematics and have attempted the PCAP-31-02 practice exams.

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Topics of PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

The syllabus for the PCAP - Certified Associate in Python Programming (PCAP-31-02) examination is listed below in detail of each section and their topics:

1. Control and Evaluations (25%)

Objectives covered by this section:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

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

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

Objectives covered by this section:

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

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

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How to book the PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

You have to follow these steps in order to participate for the PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam:

• Step 1: Hower on 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 application by paying for the exam

Python Institute PCAP-31-02 Exam Syllabus Topics: