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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.

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

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PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam Certified Professional salary

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• India: 20,40,000 INR
• Europe: 70,000 EURO
• United States: 120,000 USD
• England: 70,600 POUNDS

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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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
• using predefined exceptions and defining your ones
• defining your classes, superclasses, subclasses, inheritance, searching for missing class components, creating objects
• writing and using constructors
• introspection: dict, name, module, bases properties, examining class/object structure
• the init method
• the anatomy of an exception object
• inheritance and overriding, finding class/object components
• invoking methods, passing and using the self-argument/parameter
• 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
• assertions
• class methods: defining and using the self-parameter meaning and usage
• exceptions hierarchy, assigning more than one exception to one except branch
• the role of the str method
• name mangling
• adding your exceptions to an existing hierarchy
• single inheritance vs. multiple inheritances

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