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

The PCPP2 certification is a prestigious achievement for Python builders, recognizing their superior programming expertise and their capability to work on professional-level Python purposes. This course prepares you for the PCPP2 examination by overlaying the important subjects and offering hands-on expertise with advanced programming challenges. By finishing the course, you’ll not solely be able to go the certification examination, but in addition achieve useful expertise that shall be straight relevant within the office.

What You Will Study

This course covers a variety of superior Python subjects, designed to increase your information and make you a simpler and environment friendly Python developer.

1. Superior Object-Oriented Programming (OOP)

• Key Subjects: Courses, inheritance, polymorphism, abstraction, a number of inheritance, and metaclasses.
• Why It’s Vital: Object-oriented programming is on the core of Python. On this course, you’ll delve into extra superior OOP ideas like metaclasses and summary base lessons. These ideas are important for writing reusable, modular, and maintainable code in giant tasks. You’ll additionally learn to design Python purposes which are scalable and simple to keep up.

2. Software program Design Patterns

• Key Subjects: Singleton, Manufacturing unit, Observer, Technique, and different design patterns.
• Why It’s Vital: As software program techniques turn into extra advanced, utilizing design patterns to construction your code in a logical and reusable manner is essential. On this course, you’ll be taught a number of frequent design patterns that can enable you to resolve frequent software program design issues. These patterns are broadly utilized in skilled improvement environments, and understanding how one can apply them will make you a extra environment friendly Python developer.

3. Multithreading and Parallelism

• Key Subjects: Threading, multiprocessing, concurrency, synchronization, and Python’s threading and multiprocessing modules.
• Why It’s Vital: Trendy purposes usually require dealing with a number of duties directly, and this course teaches you how one can obtain that with Python. You’ll learn to create multithreaded and parallel packages that may effectively deal with concurrent duties. That is particularly helpful in real-time purposes, internet servers, or any system requiring excessive efficiency and responsiveness.

4. Networking and Socket Programming

• Key Subjects: Consumer-server communication, sockets, HTTP, FTP, SMTP, constructing community purposes.
• Why It’s Vital: Understanding how one can create networked purposes is essential for a lot of fields, from internet improvement to IoT. On this part, you’ll learn to construct client-server purposes utilizing Python’s socket library. Moreover, you’ll achieve expertise working with varied protocols like HTTP and FTP, that are important for constructing networked companies and purposes.

5. Superior File Dealing with

• Key Subjects: File I/O, binary recordsdata, file compression, and superior knowledge serialization (pickle, JSON).
• Why It’s Vital: Working with recordsdata is a necessary ability in any Python undertaking. This part of the course teaches you how one can effectively learn and write giant recordsdata, deal with binary knowledge, and carry out superior file operations like file compression and encryption. You’ll additionally learn to serialize advanced Python objects utilizing the pickle and JSON libraries, which is essential for persisting knowledge.

6. Working with Databases

• Key Subjects: SQL, NoSQL, relational databases (PostgreSQL, MySQL), NoSQL databases (MongoDB), and Object Relational Mappers (ORMs).
• Why It’s Vital: Most real-world purposes depend on databases for storing and retrieving knowledge. On this course, you’ll learn to work together with each relational and NoSQL databases utilizing Python. Additionally, you will achieve expertise with SQLAlchemy, a preferred ORM that simplifies database interplay in Python. This data is crucial for anybody engaged on data-driven purposes or backend techniques.

7. Efficiency Optimization

• Key Subjects: Profiling Python code, optimizing loops, reminiscence administration, algorithmic optimizations.
• Why It’s Vital: Optimizing your Python code is essential for constructing high-performance purposes. This part covers instruments and strategies for profiling Python code to establish bottlenecks and optimize efficiency. You’ll additionally learn to handle reminiscence effectively and use superior knowledge constructions and algorithms to enhance the pace and scalability of your purposes.

8. Safety and Cryptography

• Key Subjects: Encryption, hashing, safe communication, SSL/TLS, and Python’s cryptography module.
• Why It’s Vital: In immediately’s digital world, safety is paramount. This part teaches you how one can implement security measures in your Python purposes, similar to encrypting knowledge, securely transmitting info over the web, and dealing with safe communication protocols like SSL/TLS. This data is crucial for builders engaged on internet purposes, banking techniques, or any software program that handles delicate info.

9. Testing and Debugging

• Key Subjects: Unit testing, integration testing, mocking, debugging with pdb, and test-driven improvement (TDD).
• Why It’s Vital: Writing clear and bug-free code is a essential ability for any skilled developer. On this course, you’ll be taught superior testing strategies to make sure your Python purposes are dependable and maintainable. Additionally, you will achieve expertise with debugging instruments to assist troubleshoot points in your code extra successfully.