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

The Python Skilled Degree 2 (PCPP2) course is a complicated, hands-on coaching program designed for Python builders who need to take their programming expertise to the subsequent stage. Whether or not you’re aiming to earn the PCPP2 certification or just advance your data {of professional} Python improvement, this course covers probably the most essential ideas required for tackling complicated programming challenges. The course focuses on mastering superior Python matters corresponding to design patterns, concurrency, community programming, optimization, and database interplay. By the tip of the course, you’ll be outfitted to design, develop, and optimize high-performance Python purposes for real-world use circumstances.

Who This Course Is For

This course is right for builders who’ve a stable basis in Python and want to deepen their data in superior programming strategies. In the event you’re an skilled Python developer, software program engineer, backend developer, information scientist, or IT skilled trying to grasp the complexities of Python improvement, this course is for you. The course additionally prepares you for the PCPP2 certification examination, making it the right 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 need to be aware of the matters coated within the PCPP1 certification, which incorporates data of object-oriented programming, file dealing with, Python libraries, and dealing with fundamental algorithms. This course builds upon that foundational data and dives into extra superior areas corresponding to design patterns, concurrency, networking, and optimization.

Course Overview

The course covers a broad spectrum of superior Python ideas which are important for skilled builders. You’ll discover ways to leverage Python’s strongest options to jot 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 give attention to superior object-oriented programming ideas which are basic for creating scalable and maintainable purposes. You’ll discover the next matters:

• Metaclasses: Find out how metaclasses management the creation and conduct of Python lessons, and when to make use of them for superior use circumstances.
• Summary Base Courses (ABCs): Implement summary base lessons and summary strategies to implement constant interfaces and sophistication conduct.
• 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 Ideas: Apply SOLID rules in your code to enhance maintainability, readability, and scalability of Python purposes.

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 can assist you write environment friendly and reusable code:

• Creational Patterns: Discover patterns like Singleton, Manufacturing facility, and Builder, which cope with object creation and initialization.
• Structural Patterns: Perceive patterns corresponding to Decorator and Adapter, which let you alter the construction of your utility with out modifying present code.
• Behavioral Patterns: Research patterns like Observer, Command, and Technique to handle object conduct and interactions in complicated methods.

Module 3: Concurrency and Parallelism

Python’s skill to deal with concurrency and parallelism is essential for constructing high-performance purposes. 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, enhancing efficiency in computation-heavy purposes.
• Async Programming with asyncio: Achieve an understanding of asynchronous programming and learn how to use the asyncio library to jot 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 preferrred for creating purposes that work together with distant servers, APIs, and different networked methods. This module covers:

• Socket Programming: Learn to use the socket module to construct networked purposes, corresponding to creating client-server communication methods and dealing with connections.
• HTTP Requests: Grasp using the requests module to work together with net providers and APIs, together with dealing with GET, POST, PUT, and DELETE requests.
• Safe Communication: Implement safe communication protocols (SSL/TLS) to encrypt community site visitors and defend delicate information.
• Internet Frameworks: Get an introduction to net frameworks like Flask and Django, and discover ways to construct easy APIs or net purposes.

Module 5: Database Interplay

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

• SQL and NoSQL Databases: Work with each SQL databases (corresponding to 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 manner.
• Database Transactions: Find out about transactions, rollbacks, and guaranteeing database consistency in multi-user environments.

Module 6: Optimization Methods

Optimizing your Python code is vital when working with massive datasets or constructing performance-critical purposes. On this module, you’ll give attention to:

• 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 strategies for optimizing reminiscence utilization in large-scale purposes.
• Algorithm Optimization: Refactor algorithms to enhance efficiency, and perceive learn how to choose one of the best information constructions and algorithms for numerous use circumstances.

Module 7: Testing and Debugging

Testing and debugging are essential components of software program improvement. On this module, you’ll be taught:

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

Studying Aims

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

• Implement superior object-oriented programming strategies, 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 purposes.
• Develop networked purposes, work together with APIs, and implement safe communication.
• Hook up 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 finest practices for testing and debugging.