Python Fundamentals Training

Start your Python journey with this comprehensive 2-day training covering everything you need to write clean, idiomatic Python. From variables and data structures to classes and modules, build a solid foundation for any Python career path.

Training Details

Duration	2 days (16 hours)
Level	Beginner
Delivery	In-person, Live online, Hybrid
Certification	N/A

Who Is This For?

• Developers learning Python as a new language
• System administrators automating with Python
• Analysts transitioning from spreadsheets to code
• Team members onboarding to Python-based projects
• Anyone starting a career in software development

Learning Outcomes

After completing this training, participants will be able to:

• Write clean, idiomatic Python code using core syntax and conventions
• Work with built-in data types including lists, dictionaries, sets, and tuples
• Implement control flow with conditionals, loops, and comprehensions
• Define and use functions with arguments, defaults, and return values
• Build classes with inheritance, encapsulation, and special methods
• Organize code into modules and packages for reuse

Detailed Agenda

Day 1: Core Language

Module 1: Python Environment and Basics

• Installing Python and setting up virtual environments
• The Python REPL and script execution
• Variables, naming conventions, and PEP 8 style
• Hands-on: Set up development environment and run first scripts

Module 2: Data Types and Operators

• Numbers, strings, and booleans
• String formatting with f-strings
• Type conversion and introspection
• Hands-on: Build a data type exploration tool

Module 3: Data Structures

• Lists, tuples, and slicing
• Dictionaries and sets
• Nested structures and unpacking
• Hands-on: Implement a contact book with dictionaries

Module 4: Control Flow

• Conditionals and truthiness
• for and while loops
• List, dict, and set comprehensions
• Hands-on: Write data filtering and transformation scripts

Day 2: Functions, OOP, and Modules

Module 5: Functions

• Defining functions with positional and keyword arguments
• Default values, *args, and **kwargs
• Scope, closures, and lambda expressions
• Hands-on: Build a reusable utility library

Module 6: Error Handling

• Exceptions and the try/except/finally pattern
• Built-in exception hierarchy
• Raising and creating custom exceptions
• Hands-on: Add robust error handling to existing code

Module 7: Object-Oriented Programming

• Classes, instances, and the __init__ method
• Attributes, methods, and properties
• Inheritance and method resolution order
• Special methods (__str__, __repr__, __eq__)
• Hands-on: Model a real-world domain with classes

Module 8: Modules and Packages

• Importing modules and packages
• The standard library overview
• Creating your own modules
• Working with pip and requirements.txt
• Hands-on: Structure a multi-file Python project

Prerequisites

• Basic computer literacy and command line familiarity
• No prior Python or programming experience required
• A laptop with Python 3.10+ installed (setup guide provided)

Delivery Formats

Format	Description
In-Person	On-site at your company's location, hands-on with direct interaction
Live Online	Interactive virtual sessions with screen sharing and real-time labs
Hybrid	Combination of on-site and remote sessions, flexible scheduling

All formats include hands-on labs, course materials, and post-training support.