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Python Institute PCAP-31-03 Exam Syllabus Topics:

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

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What is the duration, language, and format of PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

• Number of Questions: 40
• Language of Exam: English
• Passing score: 70%
• Type of Questions: Single-choice and multiple-choice questions
• Duration of Exam: 65 minutes + 10 minutes (Non-Disclosure Agreement/Tutorial)

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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

• tuples vs. lists: similarities and differences, lists inside tuples and tuples inside lists
• 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
• 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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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

• 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.
• 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.
• 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.

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