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

Preparation and study materials for the PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam are provided by several online platforms including the Python Institute for free. Interested candidates can simply search online with the name of the exam and can find learning materials or take the higly recommended PCAP-31-02 practice exams. In order to use the material provided by Python Institute, sign up for PCAP - Certified Associate in Python Programming (PCAP-31-02) course to immerse yourself in programming and to learn Python from scratch. Their course will train you for jobs and professions related to the widely known development of the software, which involves not only developing the code itself as a junior developer, but also designing computer systems and testing software.

Completing this course can be a step-stone for learning some other language of programming and exploring technologies that use Python as a basis ( e.g., Django). This introductory course is characterised by its student affordability, friendliness, and transparency. It all starts from the absolute basics, leading you to complex problems step by step, making you a responsible software developer capable of taking on numerous challenges in many IT industry positions. Refer to the links at the end of this document for more information on study materials.

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

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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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