Foundational Python Skills Training Course - with ChatGPT

Who should attend

This course is aimed at people who are new to Python who need expert guidance to get started.

Prerequisites

Any previous experience with software coding / scripting will be beneficial (in another language such as Java, C++, JavaScript, C#...) but we can customise the course for teams who are newer to commercial software development (such as including graduate schemes, employee cross-training...).

Live, instructor-led online and on-site training

This Python course is available for private / custom delivery for your team - face-to-face, on-site at your location of choice, or remotely via MS Teams, Zoom or your own platform - get in touch to find out how we can deliver tailored training which focuses on your project requirements and learning goals.

Module 1: Introduction to Python

• Python Overview: Understanding the Python language and its ecosystem.
• Setting up the Environment: Installing Python and setting up a development environment.
• Basic Syntax and Concepts: Understanding Python syntax, comments, and basic programming concepts.

Module 2: Core Programming Principles

• Variables and Data Types: Exploring Python variables, standard data types, and type conversion.
• Operators and Expressions: Learning about arithmetic, comparison, and logical operators.
• Control Structures: Introducing if-else statements, loops (for and while), and control flow techniques.

Module 3: Data Structures and Collections

• Lists and Tuples: Understanding and working with lists and tuples.
• Dictionaries: Exploring key-value pairs and dictionary operations.
• Sets: Basics of set operations and usage.

Module 4: Functions and Modular Programming

• Defining and Calling Functions: Basics of creating and using functions.
• Scope and Lifetime of Variables: Understanding local and global scopes.
• Modules and Packages: Using standard modules and creating custom modules.

Module 5: Object-Oriented Programming in Python

• Introduction to OOP: Understanding classes, objects, and the OOP paradigm.
• Classes and Objects: Creating classes and instances, instance methods, and attributes.
• Inheritance and Polymorphism: Basics of inheriting classes and polymorphic behaviours.

Module 6: Exception Handling and File Operations

• Exception Handling: Try-except blocks, handling multiple exceptions, and creating custom exceptions.
• File Handling: Reading from and writing to files, handling different file formats.

Module 7: Working with External Libraries

• Using Python Libraries: Introduction to pip and common libraries like requests, beautifulsoup, pandas, etc.
• Virtual Environments: Managing project dependencies using virtual environments.
• Module 8: Introduction to Python for Web and Networking
• Basic Networking Concepts: Understanding client-server architecture, sockets in Python.
• Introduction to Web Services: Basic RESTful services using Flask or another simple framework.

Module 10: Final Project

• Final Project: A comprehensive project that requires students to apply all the concepts they've learned throughout the course.