Advanced Skill Test: Python Professional Level 2 (PCPP2™)

The Python Skilled Degree 2 (PCPP2) course is a sophisticated, hands-on coaching program designed for Python builders who wish to take their programming abilities to the following degree. Whether or not you’re aiming to earn the PCPP2 certification or just advance your data {of professional} Python growth, this course covers probably the most essential ideas required for tackling advanced programming challenges. The course focuses on mastering superior Python matters reminiscent of design patterns, concurrency, community programming, optimization, and database interplay. By the tip of the course, you’ll be geared up to design, develop, and optimize high-performance Python functions for real-world use instances.

Who This Course Is For

This course is good for builders who’ve a strong basis in Python and wish to deepen their data in superior programming methods. For those who’re an skilled Python developer, software program engineer, backend developer, information scientist, or IT skilled seeking to grasp the complexities of Python growth, this course is for you. The course additionally prepares you for the PCPP2 certification examination, making it the proper selection for these aiming to validate their Python experience.

Course Conditions

Earlier than beginning this course, college students ought to have understanding of Python’s core options and performance. Ideally, you ought to be acquainted with the matters coated within the PCPP1 certification, which incorporates data of object-oriented programming, file dealing with, Python libraries, and dealing with primary algorithms. This course builds upon that foundational data and dives into extra superior areas reminiscent of design patterns, concurrency, networking, and optimization.

Course Overview

The course covers a broad spectrum of superior Python ideas which can be important for skilled builders. You’ll discover ways to leverage Python’s strongest options to write down environment friendly, scalable, and maintainable code. The matters are damaged down into a number of key modules that present a complete method to mastering skilled Python programming.

Module 1: Superior Object-Oriented Programming (OOP)

On this module, we concentrate on superior object-oriented programming ideas which can be basic for creating scalable and maintainable functions. You’ll discover the next matters:

• Metaclasses: Learn the way metaclasses management the creation and habits of Python lessons, and when to make use of them for superior use instances.
• Summary Base Lessons (ABCs): Implement summary base lessons and summary strategies to implement constant interfaces and sophistication habits.
• A number of Inheritance: Achieve a deeper understanding of a number of inheritance in Python, and learn how to handle methodology decision order (MRO) points.
• Design Rules: Apply SOLID rules in your code to enhance maintainability, readability, and scalability of Python functions.

Module 2: Design Patterns

Design patterns are confirmed options to recurring issues in software program design. This module introduces you to key design patterns that may enable you to write environment friendly and reusable code:

• Creational Patterns: Discover patterns like Singleton, Manufacturing facility, and Builder, which take care of object creation and initialization.
• Structural Patterns: Perceive patterns reminiscent of Decorator and Adapter, which let you alter the construction of your software with out modifying current code.
• Behavioral Patterns: Examine patterns like Observer, Command, and Technique to handle object habits and interactions in advanced programs.

Module 3: Concurrency and Parallelism

Python’s means to deal with concurrency and parallelism is essential for constructing high-performance functions. On this module, we cowl:

• Multithreading: Learn to implement threading to permit a number of threads to run in parallel and deal with I/O-bound duties extra effectively.
• Multiprocessing: Uncover learn how to use Python’s multiprocessing module to separate CPU-bound duties throughout a number of CPU cores, bettering efficiency in computation-heavy functions.
• Async Programming with asyncio: Achieve an understanding of asynchronous programming and learn how to use the asyncio library to write down non-blocking, concurrent code.
• Synchronization: Learn to safely share information between threads and processes utilizing synchronization mechanisms like locks, semaphores, and situation variables.

Module 4: Community Programming

Python excels at community programming, making it superb for creating functions that work together with distant servers, APIs, and different networked programs. This module covers:

• Socket Programming: Learn to use the socket module to construct networked functions, reminiscent of creating client-server communication programs and dealing with connections.
• HTTP Requests: Grasp using the requests module to work together with internet companies and APIs, together with dealing with GET, POST, PUT, and DELETE requests.
• Safe Communication: Implement safe communication protocols (SSL/TLS) to encrypt community visitors and shield delicate information.
• Net Frameworks: Get an introduction to internet frameworks like Flask and Django, and discover ways to construct easy APIs or internet functions.

Module 5: Database Interplay

Python is extensively used for constructing functions that work together with databases. On this module, you’ll discover ways to:

• SQL and NoSQL Databases: Work with each SQL databases (reminiscent of PostgreSQL and MySQL) and NoSQL databases (like MongoDB), writing environment friendly queries and managing connections.
• Object-Relational Mapping (ORM): Perceive learn how to use ORM libraries like SQLAlchemy to map Python objects to database tables, making it simpler to work together with databases in an object-oriented method.
• Database Transactions: Find out about transactions, rollbacks, and guaranteeing database consistency in multi-user environments.

Module 6: Optimization Methods

Optimizing your Python code is essential when working with massive datasets or constructing performance-critical functions. On this module, you’ll concentrate on:

• Profiling and Benchmarking: Use instruments like cProfile and timeit to determine bottlenecks in your code and measure efficiency enhancements.
• Reminiscence Administration: Find out about Python’s reminiscence mannequin and methods for optimizing reminiscence utilization in large-scale functions.
• Algorithm Optimization: Refactor algorithms to enhance efficiency, and perceive learn how to choose the perfect information buildings and algorithms for numerous use instances.

Module 7: Testing and Debugging

Testing and debugging are essential elements of software program growth. On this module, you’ll study:

• Unit Testing: Perceive learn how to write unit assessments utilizing unittest and pytest, and discover test-driven growth (TDD) to enhance code high quality.
• Mocking and Fixtures: Use mocking and fixtures to isolate parts and check your code successfully.
• Superior Debugging: Grasp debugging instruments like Python’s pdb and PyCharm’s built-in debugger to troubleshoot advanced functions.

Studying Targets

By the tip of this course, it is possible for you to to:

• Implement superior object-oriented programming methods, together with metaclasses and summary base lessons.
• Apply design patterns to create environment friendly, reusable, and maintainable code.
• Work with Python’s concurrency and parallelism instruments to construct high-performance functions.
• Develop networked functions, work together with APIs, and implement safe communication.
• Connect with databases utilizing SQL and NoSQL options and handle information effectively.
• Optimize your Python code for higher efficiency, reminiscence utilization, and scalability.
• Write and preserve high-quality, testable code utilizing greatest practices for testing and debugging.