The Python Fundamentals Training Course is a practical, instructor-led program designed to provide participants with a strong foundation in Python programming. This course introduces core Python concepts including syntax, variables, data types, control structures, functions, file handling, and basic object-oriented programming.

Participants will learn how to develop simple Python applications, automate repetitive tasks, and apply programming logic to real-world scenarios. Through hands-on exercises and guided labs, learners will gain confidence in writing, debugging, and executing Python scripts for business, automation, and software development purposes.

This course is ideal for beginners who want to start their programming journey using one of the world’s most popular and versatile programming languages.

 

Duration 3 Days – 21 hrs.

  

Objectives 

• Understand Python syntax and programming fundamentals
• Install and configure the Python development environment
• Work with variables, data types, and operators
• Use conditional statements and loops effectively
• Create reusable functions and modules
• Manipulate strings, lists, tuples, dictionaries, and sets
• Read from and write to files
• Handle errors and exceptions in Python
• Apply basic object-oriented programming (OOP) concepts
• Develop simple Python-based applications and automation scripts

  

Target Audience 

• Beginners with little or no programming experience
• IT professionals transitioning into software development
• Data analysts and business analysts
• System administrators and automation engineers
• Students and fresh graduates
• Technical professionals interested in learning Python

 

Prerequisites 

• Basic computer literacy
• Familiarity with Windows, Linux, or macOS environments
• Basic logical and analytical thinking skills
• No prior programming experience required

 

Course Outline 

Module 1: Introduction to Python 

• Overview of Python
• Features and benefits of Python
• Python applications and use cases
• Installing Python and development tools
• Introduction to IDEs and code editors
• Running Python scripts
• Understanding Python syntax and indentation

Module 2: Python Basics 

• Variables and constants
• Data types
  • Integers
  • Floats
  • Strings
  • Booleans
• Input and output operations
• Type conversion
• Python operators
  • Arithmetic
  • Comparison
  • Logical
  • Assignment

Module 3: Decision Making and Loops 

• Conditional statements
  • if
  • if-else
  • elif
• Nested conditions
• Looping concepts
  • for loops
  • while loops
• Loop control statements
  • break
  • continue
  • pass
• Practical exercises using conditions and loops

Module 4: Working with Collections 

• Lists
• Tuples
• Dictionaries
• Sets
• Indexing and slicing
• Adding, updating, and removing elements
• Iterating through collections
• Common collection methods

Module 5: Functions and Modules 

• Introduction to functions
• Defining and calling functions
• Function parameters and return values
• Variable scope
• Lambda functions
• Importing modules
• Using built-in Python modules
• Creating custom modules

Module 6: String Handling and File Operations 

• String manipulation techniques
• String formatting
• Working with text data
• Reading files
• Writing files
• File modes and handling
• Working with CSV and text files

Module 7: Error Handling and Debugging 

• Understanding exceptions
• try-except blocks
• Handling multiple exceptions
• finally and else blocks
• Basic debugging techniques
• Writing clean and maintainable code

Module 8: Introduction to Object-Oriented Programming (OOP) 

• OOP concepts overview
• Classes and objects
• Attributes and methods
• Constructors
• Encapsulation basics
• Creating simple Python classes

 Module 9: Mini Project and Practical Exercises 

• Developing a simple Python application
• Applying functions and file handling
• Using collections and loops in projects
• Debugging and testing scripts
• Best practices and coding standards

 Module 10: Course Summary and Next Steps 

• Review of key concepts
• Python career pathways
• Introduction to advanced Python topics
• Recommended tools, frameworks, and certifications
• Open forum and Q&A session