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

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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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

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

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

Objectives covered by this section:

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