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Introduction to PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

PCAP - Certified Python Programming Associate (PCAP-31-03) 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-31-03) certification indicates that the person is familiar with general computer programming concepts such as conditional execution, loops, the 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 studies and open a path to the career of the developer.

How to study the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

Preparation and study materials for the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam is 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 highly recommended PCAP-31-03 practice exams. To use the material provided by Python Institute, sign up for PCAP - Certified Associate in Python Programming (PCAP-31-03) 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 characterized 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-31-03) Exam

The syllabus for the PCAP-31-03 exam dumps is listed below in detail of each section and their topics:

1. Control and Evaluations (25%)

Objectives covered by this section:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

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

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

Objectives covered by this section:

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

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

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