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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.

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:

• simple lists: constructing vectors, indexing and slicing, the len() function
• simple strings: constructing, assigning, indexing, slicing comparing, immutability
• relational operators ( == != > >= < <= ), building complex Boolean expressions
• accuracy of floating-point numbers
• conditional statements: if, if-else, if-elif, if-elif-else
• literals: Boolean, integer, floating-point numbers, scientific notation, strings
• basic input and output: input(), print(), int(), float(), str() functions
• building loops: while, for, range(), in, iterating through sequences
• string operators: * +
• bitwise 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
• formatting print() output with end= and sep= arguments
• controlling loop execution: break, continue
• assignments and shortcut operators
• the pass instruction
• numeric operators: * / % // + -
• Boolean operators: not and or
• operators: unary and binary, priorities and binding

2. Data Aggregates (25%)

Objectives covered by this section:

• tuples: indexing, slicing, building, immutability
• lists in lists: matrices and cubes
• 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
• 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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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

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