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How to Prepare For PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

Preparation Guide for PCAP - Certified Associate in Python Programming (PCAP-31-02) Exam

Introduction

The Python Institute is a fully independent, non-profit project set up by the Open Education and Development Group (OpenEDG) to promote the language of Python programming, train a new generation of Python programmers, and promote technical careers in Python programming and related technologies. The OpenEDG Python Institute offers an independent global platform for high-stakes Python programming exams in line with the strategic objectives aligned with the improvement and growth of careers in Python programming.

The OpenEDG Python Institute provides training courses at all levels of Python programming, from absolute beginners to experienced skilled programmers, and all the online self-study courses offered by the Python Institute are free for everyone, just as Python itself is free and open source. In collaboration with Pearson VUE, the world's pioneer in computer-based testing, the OpenEDG Python Institute also provides independent and vendor-neutral Python programming language certification.

The Python Institute helps highly motivated programmers and data analysts to gain access to the best-paid, most fascinating jobs in Python programming through its rigorous certification process. The purpose of the Python Institute is to provide the skills required to produce Python content at a more advanced and technical level, following the best practises in programming, to every Python programmer, and every aspiring Python programmer.

This guide provides a detailed overview of the PCAP - Certified Associate in Python Programming (PCAP-31-02) cetification including all sorts of prerequisites for the exam, the exam format, topics covered, exam difficulty and preparation methods, and the target audience profile.

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:

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

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:

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

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

Objectives covered by this section:

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

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

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