Introduction to Python

Introduction to Python is a beginner-focused, live instructor-led course that builds a solid foundation in Python. You will learn core syntax, data types, variables, control flow, and key data structures, while practicing in Jupyter Notebook and standard .py files. The course also introduces creating simple GUIs within Jupyter, and emphasizes writing, running, and debugging code through hands-on labs.

By the end, you will be able to write Python programs and develop small applications for automation, web tasks, data processing, and basic game design. Python's broad industry use in data science and machine learning is highlighted, and the structured curriculum makes the language accessible to newcomers and those transitioning from other languages.

No prior programming experience is required. Basic computer literacy is recommended, including comfort with installing software, navigating files and folders, and using a text editor. Having Python 3.x and Jupyter Notebook set up (or the ability to follow setup instructions) will help you get the most from hands-on labs. Familiarity with simple command-line usage and problem-solving concepts is helpful but not mandatory.

This course is ideal for absolute beginners with no prior programming experience, as well as professionals seeking to add Python to their toolkit. New developers, QA engineers, system administrators, analysts, and students will benefit from learning Python for automation, data tasks, and rapid prototyping. It also suits experienced developers from other languages who want a practical, instructor-led path to Python. Anyone looking to build foundational skills for web, data science, or machine learning workflows will find this course accessible and relevant.