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.