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’ information of Python at a complicated degree, protecting matters comparable 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 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 matters comparable to OOP, threading, multiprocessing, and testing, adopted by hands-on initiatives and coding workouts. Every module is designed to supply a balanced mixture of concept 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 important for writing maintainable and scalable code. On this course, you’ll be taught to:
   • Implement superior OOP ideas, comparable to inheritance, polymorphism, and encapsulation.
   • Use summary base courses (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 functions user-friendly and interactive. You’ll be taught to make use of Tkinter, Python’s customary GUI library, to:
   • Construct person interfaces with buttons, labels, textboxes, and extra.
   • Deal with occasions comparable 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 information is a elementary talent for any Python developer. This module will train you:
   • The best way to learn and write information in numerous codecs (CSV, JSON, XML).
   • The best way to parse structured information and deal with giant information units effectively.
   • The usage of context managers (with statements) for protected file dealing with.
   • Strategies 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 easy methods to handle threads in Python.
   • The best way to 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 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, comparable to parameterized assessments and fixtures.
   • Discover ways 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 be taught:
   • Python’s PEP 8 coding conventions for readability and consistency.
   • The best way to profile your code and optimize efficiency.
   • Frequent design patterns like Singleton, Manufacturing facility, and Observer and easy methods to implement them in Python.
   • The best way to write clear, readable code utilizing significant variable names, feedback, and docstrings.
7. Working with Databases
   Knowledge storage is a vital a part of most functions. This course will train you:
   • How to connect with relational databases utilizing Python’s sqlite3 module.
   • The best way to work together with databases, carry out SQL queries, and deal with outcomes.
   • Fundamentals of working with NoSQL databases, comparable 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 functions and dealing with protocols.