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 subsequent stage. 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 equivalent to 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 functions for real-world use circumstances.

Who This Course Is For

This course is good for builders who’ve a strong basis in Python and want to deepen their information in superior programming methods. When 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 an excellent understanding of Python’s core options and performance. Ideally, you need to be aware of the matters lined within the PCPP1 certification, which incorporates information of object-oriented programming, file dealing with, Python libraries, and dealing with primary algorithms. This course builds upon that foundational information and dives into extra superior areas equivalent 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 strategy to mastering skilled Python programming.

Module 1: Superior Object-Oriented Programming (OOP)

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

• Metaclasses: Learn the way metaclasses management the creation and conduct of Python courses, and when to make use of them for superior use circumstances.
• Summary Base Courses (ABCs): Implement summary base courses 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 handle technique 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 make it easier 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 equivalent to Decorator and Adapter, which let you alter the construction of your utility with out modifying current code.
• Behavioral Patterns: Research patterns like Observer, Command, and Technique to handle object conduct and interactions in advanced techniques.

Module 3: Concurrency and Parallelism

Python’s capability 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 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 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 superb for growing functions that work together with distant servers, APIs, and different networked techniques. This module covers:

• Socket Programming: Learn to use the socket module to construct networked functions, equivalent to creating client-server communication techniques 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 site visitors and defend delicate information.
• Internet 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 (equivalent to PostgreSQL and MySQL) and NoSQL databases (like MongoDB), writing environment friendly queries and managing connections.
• Object-Relational Mapping (ORM): Perceive 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 making certain database consistency in multi-user environments.

Module 6: Optimization Strategies

Optimizing your Python code is vital when working with giant datasets or constructing performance-critical functions. On this module, you’ll deal with:

• Profiling and Benchmarking: Use instruments like cProfile and timeit to establish 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 choose the very best information constructions and algorithms for numerous use circumstances.

Module 7: Testing and Debugging

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

• Unit Testing: Perceive 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 take a look at your code successfully.
• Superior Debugging: Grasp debugging instruments like Python’s pdb and PyCharm’s built-in debugger to troubleshoot advanced functions.

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 functions.
• Develop networked functions, 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.