About the course
Ready to transition from basic Python to professional proficiency? Our "Hands-On Professional Python Programming Level 1" course provides the practical skills and in-depth knowledge you need to excel in a professional Python development setting. Aligned with the PCPP1™ certification syllabus, this workshop combines expert instruction with extensive hands-on exercises using real-world APIs and tools.
You'll master advanced class concepts, functional programming techniques, clean coding practices, build RESTful services with Flask, work with databases and files, and gain insights into logging and even GUI development.
Information on registering for the PCPP1 exam can be found on the Python Institute website.
Instructor-led online and in-house face-to-face options are available - as part of a wider customised training programme, or as a standalone workshop, on-site at your offices or at one of many flexible meeting spaces in the UK and around the World.
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- Apply advanced object-oriented programming (OOP) concepts in Python, including inheritance, polymorphism, and operator overloading.
- Implement functional programming paradigms in Python, leveraging higher-order functions and closures.
- Write clean, maintainable, and Pythonic code following established best practices and conventions.
- Develop and utilize custom decorators to extend the functionality of Python functions and classes.
- Build basic network applications using sockets and the socketserver module.
- Implement effective logging in Python applications using the logging library for debugging and monitoring.
- Create and consume basic RESTful web services using the Flask framework.
- Develop simple graphical user interfaces (GUIs) using the Tkinter library.
- Process and manipulate data from various file formats, including CSV and Excel.
- Access and interact with the Python runtime environment and standard library modules for common tasks.
- Demonstrate a strong understanding of the topics covered in the PCPP1 certification syllabus.
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This comprehensive Python training is ideal for Python developers looking to elevate their skills beyond the basics and adopt professional development practices.
It's also highly beneficial for individuals aiming to achieve the PCPP1 – Certified Professional in Python Programming 1 qualification, as the curriculum is specifically aligned with the certification syllabus.
This course is perfect for those who want to write more robust, maintainable, and efficient Python code and gain a deeper understanding of advanced language features and practical application in real-world scenarios.
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To make the most of this Level 1 Professional Python Programming course, you should have attended our Intro to Python training course or have already familiarity with:
Basic Python syntax and data types (integers, floats, strings, booleans).
Core language constructs (conditional statements, loops, functions).
Fundamental data structures (lists, tuples, dictionaries, sets).
Working with modules and packages.
Basic concepts of object-oriented programming (OOP), including classes and objects.
If you are unsure whether your current Python knowledge is sufficient, or if you'd like to discuss integrating this course into a broader training program or graduate scheme, please do not hesitate to get in touch.
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This Professional Python course is available for private / custom delivery for your team - as an in-house face-to-face workshop at your location of choice, or as online instructor-led training via MS Teams (or your own preferred platform).
Get in touch to find out how we can deliver tailored training which focuses on your project requirements and learning goals.
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Advanced Classes
classes, instances, attributes, methods; class and instance data;
operator overloading
shallow and deep operations;
inheritance and polymorphism,
serialization,
composition versus inheritance,
static and class methods
Python properties
Python Attributes
Setter and getter style methods
Public Interface to Properties
Decorators
Python Properties
Functional Programming in Python
What is Functional programming?
Advantages of FP
Disadvantages of FP
Functions in Python
Higher Order Functions
Functions Returning Functions
Built-in Higher Order Functions & Reduce
Curried Functions
Accessing global variables and the global keyword
The nonlocal keyword
Clean Coding Practices
General principles
Class Design
Python Conventions
Interface Design
Custom Decorators
What are Decorators?
Defining a Decorator
Using a Decorator
Functions with parameters
Stacked Decorators
Parameterised Decorators
Method Decorators
Class Decorators
Implementing the Singleton pattern using a Decorator
When is a Decorator Executed?
Built-in Decorators
FuncTools Wrapper
Sockets and the socketserver module
Socket to Socket Communication
The Client Server Architecture
Server Application
Client Application
The Client Server Interaction
The socketserver module
Pythons Logging library
Logging module
The Logger
Log Levels
Setting the Log level
Turning off logging
Module level loggers
Logger Hierarchy
Handlers
Formatters & Formatting options
Filters
Logger Configuration Files
Configparser
RESTFul Services and Flask
RESTFul Operations
Motivation for REST
REST Principles
The Basic Concept / The Rest Design Pattern
The Web is a RESTFul system
REST – Not a Standard
Claimed Benefits of RESTFul Services
Python RESTFul Frameworks
Implementing Flask RESTFul Services
Getting Started with the Service
Providing Routing Information
Running the Service
Invoking the Service
Book Service
GUI Programming
Introduction to Tkinter
Tkinter widgets
Tkinter events
Tkinter toolkits
File processing
Working with CSV files
Working with Excel files
Access the runtime environment
for os, datetime, io and time
All labs / tutorials are interactive. All examples presented in lectures are available to be run from the associated Git Hub repo.
Real world APIs used in this course pytest, pytest-mock, csv, fileinput, openpyxl.
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The Python Standard Library Documentation - The official documentation for Python's extensive standard library, covering many of the modules used in the course (e.g., logging, socketserver, os, datetime, csv, openpyxl, tkinter).
Flask Documentation - The official documentation for the Flask microframework, essential for the RESTful services module.
pytest Documentation - The official documentation for the pytest testing framework, which is mentioned as a real-world API used in the course.
PEP 8 -- Style Guide for Python Code - The official style guide for Python code, for further exploration of the "Clean Coding Practices" module.
The Python Institute - The official website of the Python Institute, where learners can find more information about the PCPP1 certification and register for the exam.
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