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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.

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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

• 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
• 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
• lists in lists: matrices and cubes
• tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
• 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:

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

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

Objectives covered by this section:

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

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Introduction to PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

PCAP - Certified Python Programming Associate (PCAP-31-02) qualification is a technical certificate that tests the ability to perform coding tasks in the Python language related to the fundamentals of programming and the basic notions and techniques used in object-oriented programming.

PCAP - Certified Associate in Python Programming (PCAP-31-02) certification indicates that the person is familiar with general computer programming concepts such as conditional execution, loops, syntax of the Python programming language, semantics, and runtime environment, as well as general coding and object-oriented programming techniques.

Becoming certified by PCAP ensures that you are fully familiar with all the primary means offered by Python 3 to enable you to begin your own studies and open up a path to the career of the developer.

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

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