Advanced Skill Test: Python Professional Level 1 (PCPP1™)

The PCPP1 certification is likely one of the two professional-level certifications provided by the Python Institute. It focuses on testing candidates’ data of Python at a complicated stage, protecting matters akin to Object-Oriented Programming (OOP), file processing, multithreading, database interactions, and extra. This course will information you thru the important ideas required to go the PCPP1 examination and to write down professional-grade Python code in real-world eventualities.

Course Construction

The course is structured into modules that progressively construct on one another. Beginning with the basics of superior Python, you’ll discover in-depth matters akin to OOP, threading, multiprocessing, and testing, adopted by hands-on initiatives and coding workout routines. Every module is designed to offer a balanced mixture of idea and sensible coding expertise, guaranteeing you absolutely grasp superior Python ideas.

What You Will Be taught

1. Superior Object-Oriented Programming (OOP)
   Object-Oriented Programming is a core pillar of Python, and mastering OOP is important for writing maintainable and scalable code. On this course, you’ll study to:
   • Implement superior OOP ideas, akin to inheritance, polymorphism, and encapsulation.
   • Use summary base courses (ABC) and a number of inheritance.
   • Perceive metaclasses and find out how to create customized class behaviors.
   • Overload operators and implement magic strategies like __init__, __str__, and __repr__.
2. GUI Programming with Tkinter
   Graphical Person Interfaces (GUIs) make purposes user-friendly and interactive. You’ll study to make use of Tkinter, Python’s customary GUI library, to:
   • Construct consumer interfaces with buttons, labels, textboxes, and extra.
   • Deal with occasions akin to mouse clicks and key presses.
   • Customise the looks of your GUI purposes with themes and types.
   • Create dialog containers, home windows, and menus for extra interactive experiences.
3. File Processing and Knowledge Manipulation
   Studying and processing information from recordsdata is a basic talent for any Python developer. This module will educate you:
   • How one can learn and write recordsdata in numerous codecs (CSV, JSON, XML).
   • How one can parse structured information and deal with giant information units effectively.
   • The usage of context managers (with statements) for secure file dealing with.
   • Methods for dealing with binary information and dealing with file streams.
4. Multithreading and Multiprocessing
   For top-performance purposes, it’s usually essential to run a number of duties concurrently. You’ll discover:
   • The fundamentals of multithreading and find out how to handle threads in Python.
   • How one can synchronize threads and deal with race circumstances with locks and semaphores.
   • The multiprocessing module to take full benefit of a number of CPU cores.
   • The usage of queues and pipes for communication between processes.
5. Testing and Take a look at-Pushed Growth (TDD)
   Testing is important for guaranteeing that your code works as anticipated. On this course, you’ll:
   • Learn to write efficient unit assessments utilizing Python’s unittest framework.
   • Discover test-driven improvement (TDD) methods to write down assessments earlier than code.
   • Use the pytest module for extra superior testing options, akin to parameterized assessments and fixtures.
   • Learn to mock objects and exterior companies to isolate your assessments.
6. Finest Practices for Writing Clear, Environment friendly Python Code
   Writing maintainable and environment friendly code is a key side {of professional} programming. You’ll study:
   • Python’s PEP 8 coding conventions for readability and consistency.
   • How one can profile your code and optimize efficiency.
   • Frequent design patterns like Singleton, Manufacturing unit, and Observer and find out how to implement them in Python.
   • How one can write clear, readable code utilizing significant variable names, feedback, and docstrings.
7. Working with Databases
   Knowledge storage is an important a part of most purposes. This course will educate you:
   • How to hook up with relational databases utilizing Python’s sqlite3 module.
   • How one can work together with databases, carry out SQL queries, and deal with outcomes.
   • Fundamentals of working with NoSQL databases, akin to MongoDB, for scalable information storage.
8. Superior Python Libraries and Modules
   Python’s customary library is huge and highly effective, and on this course, you’ll discover superior modules like:
   • Common Expressions (re) for sample matching and textual content processing.
   • Datetime for dealing with date and time-related information and dealing with time zones.
   • Socket Programming for creating networking purposes and dealing with protocols.