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PCAP - Certified Associate in Python Programming (PCAP-31-03) Certification Path

The Certified Associate in Python Programming Certification includes only one PCAP-31-03 exam. There are no official prerequisites for the exam, but the applicants are recommended to have little prior knowledge of any programming language, should have very basic knowledge of Mathematics, and have attempted the PCAP-31-03 practice exams.

How to Prepare for PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam

Preparation Guide for PCAP - Certified Associate in Python Programming (PCAP-31-03) 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 Opened 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 practices 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-31-03) certification including all sorts of prerequisites for the exam, the exam format, topics covered, pcap-31-03 exam dumps and preparation methods, and pcap-31-03 practice exams.

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

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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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

• 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
• 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

3. Functions and Modules (25%)

Objectives covered by this section:

• lambda functions, defining and using
• name scopes, name hiding (shadowing), the global keyword
• defining and invoking your functions and generators
• writing and using modules, the name variable
• converting generator objects into lists using the list() function
• pyc file creation and usage
• 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
• hiding module entities
• Python hashbangs, using multiline strings as module documentation
• the if operator
• return and yield keywords, returning results, the None keyword, recursion
• 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:

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

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Python Institute PCAP-31-03 Exam Syllabus Topics: