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 abilities to the following degree. Whether or not you’re aiming to earn the PCPP2 certification or just advance your information {of professional} Python improvement, 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 top of the course, you’ll be outfitted to design, develop, and optimize high-performance Python purposes for real-world use instances.

Who This Course Is For

This course is good for builders who’ve a stable basis in Python and need to deepen their information in superior programming methods. Should you’re an skilled Python developer, software program engineer, backend developer, knowledge scientist, or IT skilled seeking 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 alternative for these aiming to validate their Python experience.

Course Conditions

Earlier than beginning this course, college students ought to have a great understanding of Python’s core options and performance. Ideally, you have to be aware of the matters coated within the PCPP1 certification, which incorporates information of object-oriented programming, file dealing with, Python libraries, and dealing with fundamental algorithms. This course builds upon that foundational information 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 might be important for skilled builders. You’ll learn to leverage Python’s strongest options to put in writing environment friendly, scalable, and maintainable code. The matters are damaged down into a number of key modules that present a complete strategy to mastering skilled Python programming.

Module 1: Superior Object-Oriented Programming (OOP)

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

• Metaclasses: Find out how metaclasses management the creation and habits of Python courses, and when to make use of them for superior use instances.
• Summary Base Courses (ABCs): Implement summary base courses and summary strategies to implement constant interfaces and sophistication habits.
• A number of Inheritance: Acquire a deeper understanding of a number of inheritance in Python, and how one can 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 may enable you to write environment friendly and reusable code:

• Creational Patterns: Discover patterns like Singleton, Manufacturing unit, 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 present code.
• Behavioral Patterns: Examine patterns like Observer, Command, and Technique to handle object habits and interactions in advanced 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 how one can 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: Acquire an understanding of asynchronous programming and how one can use the asyncio library to put in writing non-blocking, concurrent code.
• Synchronization: Learn to safely share knowledge between threads and processes utilizing synchronization mechanisms like locks, semaphores, and situation variables.

Module 4: Community Programming

Python excels at community programming, making it ideally suited 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, reminiscent of creating client-server communication methods and dealing with connections.
• HTTP Requests: Grasp the usage of 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 defend delicate knowledge.
• Net Frameworks: Get an introduction to internet frameworks like Flask and Django, and learn to construct easy APIs or internet purposes.

Module 5: Database Interplay

Python is extensively used for constructing purposes that work together with databases. On this module, you’ll learn 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 how one can 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 Strategies

Optimizing your Python code is important when working with massive datasets or constructing performance-critical purposes. 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 purposes.
• Algorithm Optimization: Refactor algorithms to enhance efficiency, and perceive how one can choose the very best knowledge constructions and algorithms for varied use instances.

Module 7: Testing and Debugging

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

• Unit Testing: Perceive how one can write unit assessments 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 advanced purposes.

Studying Goals

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

• Implement superior object-oriented programming methods, together with metaclasses and summary base courses.
• 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 knowledge effectively.
• Optimize your Python code for higher efficiency, reminiscence utilization, and scalability.
• Write and keep high-quality, testable code utilizing greatest practices for testing and debugging.