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

The PCPP1 certification is without doubt one of the two professional-level certifications provided by the Python Institute. It focuses on testing candidates’ data of Python at a sophisticated degree, overlaying subjects resembling 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 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 resembling OOP, threading, multiprocessing, and testing, adopted by hands-on initiatives and coding workout routines. 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 Study

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, resembling inheritance, polymorphism, and encapsulation.
   • Use summary base lessons (ABC) and a number of inheritance.
   • Perceive metaclasses and the best 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 commonplace GUI library, to:
   • Construct person interfaces with buttons, labels, textboxes, and extra.
   • Deal with occasions resembling mouse clicks and key presses.
   • Customise the looks of your GUI functions with themes and kinds.
   • Create dialog bins, home windows, and menus for extra interactive experiences.
3. File Processing and Information Manipulation
   Studying and processing information from information is a basic talent for any Python developer. This module will train you:
   • Learn how to learn and write information in several codecs (CSV, JSON, XML).
   • Learn how to parse structured information and deal with giant information units effectively.
   • Using 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 prime-performance functions, it’s typically essential to run a number of duties concurrently. You’ll discover:
   • The fundamentals of multithreading and the best way to handle threads in Python.
   • Learn 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.
   • Using queues and pipes for communication between processes.
5. Testing and Check-Pushed Growth (TDD)
   Testing is important 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 growth (TDD) strategies to put in writing checks earlier than code.
   • Use the pytest module for extra superior testing options, resembling 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 side {of professional} programming. You’ll study:
   • Python’s PEP 8 coding conventions for readability and consistency.
   • Learn how to profile your code and optimize efficiency.
   • Widespread design patterns like Singleton, Manufacturing facility, and Observer and the best way to implement them in Python.
   • Learn how to write clear, readable code utilizing significant variable names, feedback, and docstrings.
7. Working with Databases
   Information 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.
   • Learn how to work together with databases, carry out SQL queries, and deal with outcomes.
   • Fundamentals of working with NoSQL databases, resembling 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 functions and dealing with protocols.