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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.

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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:

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

2. Data Aggregates (25%)

Objectives covered by this section:

• lists in lists: matrices and cubes
• 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
• 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
• 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

3. Functions and Modules (25%)

Objectives covered by this section:

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

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

Objectives covered by this section:

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

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

How much PCAP - Certified Associate in Python Programming (PCAP-31-03) Exam Cost

The full fee for the PCAP - Certified Associate in Python Programming (PCAP-31-03) exam is USD 295. This fee includes a free exam retake as well. However, students can be eligible for discounts. Students who take the online learning course from Python Institute will be eligible for a 50% discount, making the exam fee USD 147.5. Students who take the instructor-led course from Cisco Networking Academy will be eligible for a 51% discount, making the exam fee USD 144.55. For more information related to exam price, please visit Python Institute Exam Fees

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Python Institute PCAP-31-03 Exam Syllabus Topics: