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

The PCPP1 certification is among the two professional-level certifications provided by the Python Institute. It focuses on testing candidates’ data of Python at a sophisticated degree, protecting subjects corresponding to Object-Oriented Programming (OOP), file processing, multithreading, database interactions, and extra. This course will information you thru the important ideas required to move the PCPP1 examination and to put in writing 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 subjects corresponding to OOP, threading, multiprocessing, and testing, adopted by hands-on tasks and coding workout routines. Every module is designed to offer a balanced mixture of principle and sensible coding expertise, making certain you totally 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 crucial for writing maintainable and scalable code. On this course, you’ll study to:
   • Implement superior OOP ideas, corresponding to inheritance, polymorphism, and encapsulation.
   • Use summary base lessons (ABC) and a number of inheritance.
   • Perceive metaclasses and the right way 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 functions 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 corresponding to mouse clicks and key presses.
   • Customise the looks of your GUI functions with themes and types.
   • Create dialog containers, home windows, and menus for extra interactive experiences.
3. File Processing and Knowledge Manipulation
   Studying and processing knowledge from information is a elementary talent for any Python developer. This module will train you:
   • Find out how to learn and write information in several codecs (CSV, JSON, XML).
   • Find out how to parse structured knowledge and deal with massive knowledge units effectively.
   • The usage of context managers (with statements) for secure file dealing with.
   • Methods for dealing with binary knowledge and dealing with file streams.
4. Multithreading and Multiprocessing
   For top-performance functions, it’s usually essential to run a number of duties concurrently. You’ll discover:
   • The fundamentals of multithreading and the right way to handle threads in Python.
   • Find out how to synchronize threads and deal with race situations 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 Check-Pushed Growth (TDD)
   Testing is crucial for making certain that your code works as anticipated. On this course, you’ll:
   • Learn to write efficient unit checks utilizing Python’s unittest framework.
   • Discover test-driven improvement (TDD) strategies to put in writing checks earlier than code.
   • Use the pytest module for extra superior testing options, corresponding to parameterized checks and fixtures.
   • Learn to mock objects and exterior companies to isolate your checks.
6. Finest Practices for Writing Clear, Environment friendly Python Code
   Writing maintainable and environment friendly code is a key facet {of professional} programming. You’ll study:
   • Python’s PEP 8 coding conventions for readability and consistency.
   • Find out how to profile your code and optimize efficiency.
   • Frequent design patterns like Singleton, Manufacturing unit, and Observer and the right way to implement them in Python.
   • Find out how to write clear, readable code utilizing significant variable names, feedback, and docstrings.
7. Working with Databases
   Knowledge storage is a necessary a part of most functions. This course will train you:
   • How to hook up with relational databases utilizing Python’s sqlite3 module.
   • Find out how to work together with databases, carry out SQL queries, and deal with outcomes.
   • Fundamentals of working with NoSQL databases, corresponding to MongoDB, for scalable knowledge 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 knowledge and dealing with time zones.
   • Socket Programming for creating networking functions and dealing with protocols.