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PCPP1 exam Format | PCPP1 Course Contents | PCPP1 Course Outline | PCPP1 exam Syllabus | PCPP1 exam Objectives

Exam Code: PCPP1

Exam Name: Python-Institute PCPP1 Certified Professional in Python Programming 1 (PCPP)



Module 1: Advanced Object-Oriented Programming (25%)



– 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



– 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



– 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



– 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__



– 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



– 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



– Understand and use the concept of attribute encapsulation

- definition, meaning, usage

- operating with the getter, setter, and deleter methods



– 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



– 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



– 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



– 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 MCQs() and loads functions

- serializing objects by implementing a serialization dictionary: the shelve module, file modes, creating chelve objects



– 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



Module 2: Coding Conventions, Best Practices, and Standardization (12%)



– 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



– 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



– 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



Module 3: GUI Programming (20%)



– Understand and explain the basic concepts and terminology related to GUI programming

- GUI: meaning, rationale, basic terms and definitions

- visual programming: examples, basic features

- widgets/controls – basic terms: windows, title and title bars, buttons, icons, labels, etc.

- classical vs. event-driven programming

- events – basic terms

- widget toolkits/GUI toolkits



– Use GUI toolkits, basic blocks, and conventions to design and build simple GUI applications

- importing tkinter components

- creating an application's main window: the Tk(), mainloop(), and title methods

- adding widgets to the window: buttons, labels, frames, the place() method, widget constructors, location, screen coordinates, size, etc.

- launching the event controller: event handlers, defining and using callbacks, the destroy() method, dialog boxes

- shaping the main window and interacting with the user

- checking the validity of user input and handling errors

- working with Canvas and its methods

- using the Entry, Radiobutton, and Button widgets

- managing widgets with the grid and place managers

- binding events using the bind() method



– Demonstrate proficiency in using widgets and handling events

- settling widgets in the window's interior, geometry managers

- coloring widgets, color modes: RGB, HEX

- event handling: writing event handlers and assigning them to widgets

- event-driven programming: implementing interfaces using events and callbacks

- widget properties and methods

- variables: observable variables and adding observers to variables

- using selected clickable and non-clickable widgets

- identifying and servicing GUI events



Module 4: Network Programming (18%)



– 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



– 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



– 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 MCQs() and loads methods), serializing and deserializing Python objects

- XML: syntax, structure, sample xml documents and their anatomies, DTD, XML as a tree

- processing xml files



– 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



Module 5: File Processing and Communicating with a Program's Environment (15%)



– 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.)



– 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

- studying 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

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