Python Training

Certified Professional in Python Programming 1 Training

The Python Certified Professional Python Programmer Level 1 (PCPP1) covers advanced object-oriented programming, network and GUI programming as well as best practices when it comes to writing code in a Pythonic style. Become a professional Python programmer by getting PCPP certified.

PCPP-32-1: Certified Professional in Python Programming 1

• File Processing and Communicating with a Program’s Environment
  • Processing different kinds of files
    • sqlite3 – interacting with SQLite databases
    • xml – creating and processing XML files
    • csv – CSV file reading and writing
    • logging – basics logging facility for Python
    • configparser – configuration file parser
  •  Communicating with a program’s environment:
    • os – interacting with the operating system,
    • datetime – manipulating with dates and time
    • io – working with streams,
    • time – time access and conversions

• GUI Programming
  • What is GUI and where it comes from
  • Constructing a GUI – basic blocks and conventions
  • Event-driven programming
  • Currently used GUI environments and toolkits
  • tkinter — Python interface to Tcl/Tk
    • tkinter’s application life cycle
    • Widgets, windows and events
    • Sample applications
    • pygame – a simple way of developing multimedia applications

• Python Enhancement Proposals
  • What is PEP?
  • Coding conventions – not only style and naming
  • PEP 20 – The Zen of Python: a collection of principles that influences the design of Python code
  • PEP 8 – Style Guide for Python Code: coding conventions for code comprising the standard library in the main Python distribution
  • PEP 257 – Docstring Conventions: what is docstring and some semantics as well as conventions associated with them
  • A tour of important PEPs

• Python Network Programming
  • Python Socket Module
    • Introduction to sockets
    • Server Socket Methods
    • Client socket methods
    • General socket methods
    • Client-Server vs. Peer-to-peer
    • Other Internet nodules

• Advanced Perspective of Classes and Object-Oriented Programming in Python
  • Classes, Instances, Attributes, Methods
  • Working with class and instance data
  • Copying object data using shallow and deep operations
  • Inheritance and Polymorphism
  • Different faces of Python methods: static and class methods
  • Abstract classes vs. method overloading
  • Composition vs. Inheritance – two ways to the same destination
  • Implementing Core Syntax
  • Subclassing built-ins
  • Attribute Encapsulation
  • Advanced techniques of creating and serving exceptions
  • Serialization of Python objects using the pickle module
  • Making Python object persistent using the shelve module
  • Metaprograming
    • Function decorators
    • Class decorators
    • Metaclasses