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Python Institute PCPP-32-101 Exam

PCPP1 - Certified Professional in Python Programming 1

Total Questions: 45
Last Updated : 06-05-2024

What is Included in the Python Institute PCPP-32-101 Exam?

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Python Institute PCPP-32-101 Exam Overview :

Exam Name PCPP1 - Certified Professional in Python Programming 1
Exam Code PCPP-32-101
Actual Exam Duration 165 minutes
Expected no. of Questions in Actual Exam 45
Exam Registration Price $195
Official Information https://pythoninstitute.org/pcpp1
See Expected Questions Python Institute PCPP-32-101 Expected Questions in Actual Exam
Take Self-Assessment Use Python Institute PCPP-32-101 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure

Python Institute PCPP-32-101 Exam Topics :

Section Weight Objectives
Section 1: Advance Object-Oriented Programming 25%  1.1 – Understand and explain the basic terms and programming concepts used in the OOP paradigm
  •     essential terminology: class, instance, object, attribute, method, type, instance and class variables, superclasses and subclasses
  •     reflexion: isinstance(), issubclass()
  •     the __init__() method
  •     creating classes, methods, and class and instance variables; calling methods; accessing class and instance variables

 1.2 – Perform Python core syntax operations
  •     Python core syntax expressions – magic methods: comparison methods (e.g. __eq__(self, other)), numeric methods (e.g. __abs__(self)), type conversion methods (e.g. __init__(self)), object intro- and retrospection (e.g. __str__(self), __instancecheck__(self, object)), object attribute access (e.g. __getattr__(self, attribute)), accessing containers (e.g. __getitem__(self, key))
  •     operating with special methods
  •     extending class implementations to support additional core syntax operations

 1.3 Understand and use the concepts of inheritance, polymorphism, and composition
  •     class hierarchies
  •     single vs. multiple inheritance
  •     Method Resolution Order (MRO)
  •     duck typing
  •     inheritance vs. composition
  •     modelling real-life problems using the "is a" and "has a" relations

 1.4 Understand the concept of extended function argument syntax and demonstrate proficiency in using decorators
  •     special identifiers: *args, **kwargs
  •     forwarding arguments to other functions
  •     function parameter handling
  •     closures
  •     function and class decorators
  •     decorating functions with classes
  •     creating decorators and operating with them: implementing decorator patterns, decorator arguments, wrappers
  •     decorator stacking
  •     syntactic sugar
  •     special methods: __call__, __init__

 1.5 Design, build, and use Python static and class methods
  •     implementing class and static methods
  •     class vs. static methods
  •     the cls parameter
  •     the @classmethod and @staticmethod decorators
  •     class methods: accessing and modifying the state/methods of a class, creating objects

 1.6 Understand and use Python abstract classes and methods
  •     abstract classes and abstract methods: defining, creating, and implementing abstract classes and abstract methods
  •     overriding abstract methods
  •     implementing a multiple inheritance from abstract classes
  •     delivering multiple child classes

 1.7 Understand and use the concept of attribute encapsulation
  •     definition, meaning, usage
  •     operating with the getter, setter, and deleter methods

 1.8 Understand and apply the concept of subclassing built-in classes
  •     inheriting properties from built-in classes
  •     using the concept of subclassing the built-ins to extend class features and modify class methods and attributes

 1.9 Demonstrate proficiency in the advanced techniques for creating and serving exceptions
  •     exceptions as objects, named attributes of exception objects, basic terms and concepts
  •     chained exceptions, the __context__ and __cause__ attributes, implicitly and explicitly chained exceptions
  •     analyzing exception traceback objects, the __traceback__ attribute
  •     operating with different kinds of exceptions

 1.10 Demonstrate proficiency in performing shallow and deep copy operations
  •     shallow and deep copies of objects
  •     object: label vs. identity vs. value
  •     the id() function and the is operand
  •     operating with the copy() and deepcopy() methods

 1.11 Understand and perform (de)serialization of Python objects
  •     object persistence, serialization and deserialization: meaning, purpose, usage
  •     serializing objects as a single byte stream: the pickle module, pickling various data types
  •     the dumps() and loads functions
  •     serializing objects by implementing a serialization dictionary: the shelve module, file modes, creating chelve objects

 1.12 Understand and explain the concept of metaprogramming
  •     metaclasses: meaning, purpose, usage
  •     the type metaclass and the type() function
  •     special attributes: __name__, __class__, __bases__, __dict__
  •     operating with metaclasses, class variables, and class methods
Section 2: Coding Conventions, Best Practices, and Standardization 12%  2.1 – Understand and explain the concept of Python Enhancement Proposals and Python philosophy
  •     the PEP concept and selected PEPs: PEP 1, PEP 8, PEP 20, PEP 257
  •     PEP 1: different types of PEPs, formats, purpose, guidelines
  •     PEP 20: Python philosophy, its guiding principles, and design; the import this instruction and PEP 20 aphorisms

 2.2 – Employ the PEP 8 guidelines, coding conventions, and best practices
  •     PEP 8 compliant checkers
  •     recommendations for code layout: indentation, continuation lines, maximum line length, line breaks, blank lines (vertical whitespaces)
  •     default encodings
  •     module imports
  •     recommendations for string quotes, whitespace, and trailing commas: single-quoted vs. double-quoted strings, whitespace in expressions and statements, whitespace and trailing commas
  •     recommendations for using comments: block comments, inline comments
  •     documentation strings
  •     naming conventions: naming styles, recommendations
  •     programming recommendations

 2.3 – Employ the PEP 257 guidelines, conventions, and best practices
  •     docstrings: rationale, usage
  •     comments vs. docstrings
  •     PEP 484 and type hints
  •     creating, using, and accessing docstrings
  •     one-line vs. multi-line docstrings
  •     documentation standards, linters, fixers
Section 4: Network Programming 18%  4.1 – Understand and explain the basic concepts of network programming
  •     REST
  •     network sockets
  •     Domains, addresses, ports, protocols, and services
  •     Network communication: connection-oriented vs. connectionless communication, clients and servers

 4.2 – Demonstrate proficiency in working with sockets in Python
  •     the socket module: importing and creating sockets
  •     connecting sockets to HTTP servers, closing connections with servers
  •     sending requests to servers, the send() method
  •     receiving responses from servers, the recv() method
  •     exception handling mechanisms and exception types

 4.3 – Employ data transfer mechanisms for network communication
  •     JSON: syntax, structure, data types (numbers, strings, Boolean values, null), compound data (arrays and objects), sample JSON documents and their anatomies
  •     the json module: serialization and deserialization, serializing Python data/deserializing JSON (the dumps() and loads methods), serializng and deserializing Python objects
  •     XML: syntax, structure, sample xml documents and their anatomies, DTD, XML as a tree
  •     processing xml files

 4.4 – Design, develop, and improve a simple REST client
  •     the request module
  •     designing, building, and using testing environments
  •     HTTP methods: GET, POST, PUT, DELETE
  •     CRUD
  •     adding and updating data
  •     fetching and removing data from servers
  •     analyzing the server's response
  •     response status codes
Section 5: File Processing and Communication with a Program's Environment 15%  5.1 – Demonstrate proficiency in database programming in Python
  •     the sqlite module
  •     creating and closing database connection using the connect and close methods
  •     creating tables
  •     inserting, reading, updating, and deleting data
  •     transaction demarcation
  •     cursor methods: execute, executemany, fetchone, fetchall
  •     creating basic SQL statements (SELECT, INSERT INTO, UPDATE, DELETE, etc.)

 5.2 – Demonstrate proficiency in processing different file formats in Python
  •     parsing XML documents
  •     searching data in XML documents using the find and findall methods
  •     building XML documents using the Element class and the SubElement function
  •     reading and writing CSV data using functions and classes: reader, writer, DictReader, DictWriter
  •     logging events in applications
  •     working with different levels of logging
  •     using LogRecord attributes to create log formats
  •     creating custom handlers and formatters
  •     parsing and creating configuration files using the ConfigParser object
  •     interpolating values in .ini files

Updates in the Python Institute PCPP-32-101 Exam Topics:

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