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

The PCPP1 certification is likely one of the two professional-level certifications supplied by the Python Institute. It focuses on testing candidates’ data of Python at a sophisticated stage, overlaying subjects equivalent 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 situations.

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 equivalent to OOP, threading, multiprocessing, and testing, adopted by hands-on tasks and coding workouts. Every module is designed to supply a balanced mixture of principle and sensible coding expertise, making certain 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 be taught to:
   • Implement superior OOP ideas, equivalent to inheritance, polymorphism, and encapsulation.
   • Use summary base lessons (ABC) and a number of inheritance.
   • Perceive metaclasses and easy methods to create customized class behaviors.
   • Overload operators and implement magic strategies like __init__, __str__, and __repr__.
2. GUI Programming with Tkinter
   Graphical Consumer Interfaces (GUIs) make purposes user-friendly and interactive. You’ll be taught to make use of Tkinter, Python’s commonplace GUI library, to:
   • Construct person interfaces with buttons, labels, textboxes, and extra.
   • Deal with occasions equivalent 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 Information Manipulation
   Studying and processing information from recordsdata is a elementary ability for any Python developer. This module will educate you:
   • How you can learn and write recordsdata in numerous codecs (CSV, JSON, XML).
   • How you can parse structured information and deal with massive information units effectively.
   • Using context managers (with statements) for protected 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 easy methods to handle threads in Python.
   • How you can synchronize threads and deal with race situations with locks and semaphores.
   • The multiprocessing module to take full benefit of a number of CPU cores.
   • Using queues and pipes for communication between processes.
5. Testing and Take a look at-Pushed Improvement (TDD)
   Testing is important for making certain that your code works as anticipated. On this course, you’ll:
   • Discover ways to write efficient unit assessments utilizing Python’s unittest framework.
   • Discover test-driven growth (TDD) methods to put in writing assessments earlier than code.
   • Use the pytest module for extra superior testing options, equivalent to parameterized assessments and fixtures.
   • Discover ways to mock objects and exterior companies to isolate your assessments.
6. Greatest Practices for Writing Clear, Environment friendly Python Code
   Writing maintainable and environment friendly code is a key side {of professional} programming. You’ll be taught:
   • Python’s PEP 8 coding conventions for readability and consistency.
   • How you can profile your code and optimize efficiency.
   • Widespread design patterns like Singleton, Manufacturing unit, and Observer and easy methods to implement them in Python.
   • How you can write clear, readable code utilizing significant variable names, feedback, and docstrings.
7. Working with Databases
   Information storage is a vital a part of most purposes. This course will educate you:
   • How to connect with relational databases utilizing Python’s sqlite3 module.
   • How you can work together with databases, carry out SQL queries, and deal with outcomes.
   • Fundamentals of working with NoSQL databases, equivalent to MongoDB, for scalable information storage.
8. Superior Python Libraries and Modules
   Python’s commonplace 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.