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.

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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:

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

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

The benefit of obtaining the PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam Certification

• There are more useful and appropriate networks for the PCAP-31-03 Exam that help them set career goals for themselves. Certified Associate in Python programming networks provides them with the right career path than they are typically unable to get without qualification.
• Among competitors, Certified Associate in Python Programming is distinct. At that time, a Certified Associate in Python Programming qualification will easily give them an advantage when applicants appear for a job interview employer want to inform something that distinguishes the individual from another.
• As their skills are more trained than non-certified professionals, a Certified Associate in Python Programming would be assured and stand separate from others.
• Certified Associate in Python Programming Qualification provides applicants with practical experience in all facets of becoming a professional worker in the company.
• The Certified Associate in Python Programming knows how to use the software to accomplish the job efficiently and cost-effectively than other non-certified professionals do not.
• Certified Python Programming Certifications Associate offers opportunities to quickly get a job in which they are interested rather than wasting years and finishing without any experience.

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