Objectives

• Basics of Python syntax, functions and data types
• How to debug Python scripts using the Python debugger (pdb)
• Use Python data structures like dictionaries, sets, tuples and lists to handle compound data
• Learn Object-oriented programming in Python and Exception Handling
• How to read and write files in Python and parse JSON data
• Use powerful regular expressions in Python to manipulate text
• How to effectively structure large Python programs using modules and namespaces
• How to use third-party libraries using the pip CLI tool.

Prerequisites for this course

There are no prerequisites for this course.

Audience

• System administrators and DevOps personnel who want to use Python to automate operating system tasks
• Developers from other programming languages who want to learn Python for writing applications
• AI/ML, data scientists, and engineers who want to use Python for data analysis and machine learning

Outline

An Overview of Python 3

• Introduction to Python and setting up the developer environment

Basic Python Syntax

• Explore the basic syntax and semantics of Python

Language Components

• Understand the basic control flow features and operators

Collections

• Write programs that manipulate compound data using lists, sets, tuples and dictionaries

Functions

• Decompose your programs into composable functions

Modules

• Organize your code using Modules for flexibility and reuse

Classes in Python

• Explore Object Oriented Programming (OOP) with classes and objects

Exceptions

• Handle runtime errors using Exceptions

Input and Output

• Implement programs that read and write files

Data Structures

• Use advanced data structures like generators and comprehensions to reduce boilerplate code

Regular Expressions

• Use powerful regular expressions to manipulate textual data

Parsing JSON

• Read and write JSON data

Debugging

• Debug Python programs using the Python debugger (pdb)