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 degree, protecting subjects akin to Object-Oriented Programming (OOP), file processing, multithreading, database interactions, and extra. This course will information you thru the important ideas required to cross the PCPP1 examination and to jot 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 subjects akin to OOP, threading, multiprocessing, and testing, adopted by hands-on tasks and coding workouts. Every module is designed to supply a balanced mixture of concept and sensible coding expertise, guaranteeing you totally grasp superior Python ideas.

What You Will Study

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 be taught to:
   • Implement superior OOP ideas, akin to inheritance, polymorphism, and encapsulation.
   • Use summary base courses (ABC) and a number of inheritance.
   • Perceive metaclasses and methods 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 be taught to make use of Tkinter, Python’s normal 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 functions with themes and types.
   • Create dialog packing containers, home windows, and menus for extra interactive experiences.
3. File Processing and Knowledge Manipulation
   Studying and processing information from recordsdata is a basic ability for any Python developer. This module will train you:
   • Easy methods to learn and write recordsdata in several codecs (CSV, JSON, XML).
   • Easy methods to parse structured information and deal with giant information units effectively.
   • The usage of 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 prime-performance functions, it’s typically essential to run a number of duties concurrently. You’ll discover:
   • The fundamentals of multithreading and methods to handle threads in Python.
   • Easy methods 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 Take a look at-Pushed Improvement (TDD)
   Testing is crucial for guaranteeing that your code works as anticipated. On this course, you’ll:
   • Discover ways to write efficient unit exams utilizing Python’s unittest framework.
   • Discover test-driven improvement (TDD) strategies to jot down exams earlier than code.
   • Use the pytest module for extra superior testing options, akin to parameterized exams and fixtures.
   • Discover ways to mock objects and exterior providers to isolate your exams.
6. Greatest Practices for Writing Clear, Environment friendly Python Code
   Writing maintainable and environment friendly code is a key facet {of professional} programming. You’ll be taught:
   • Python’s PEP 8 coding conventions for readability and consistency.
   • Easy methods to profile your code and optimize efficiency.
   • Frequent design patterns like Singleton, Manufacturing unit, and Observer and methods to implement them in Python.
   • Easy methods to write clear, readable code utilizing significant variable names, feedback, and docstrings.
7. Working with Databases
   Knowledge storage is an important a part of most functions. This course will train you:
   • How to hook up with relational databases utilizing Python’s sqlite3 module.
   • Easy methods to 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 normal 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 functions and dealing with protocols.