Programming is not just about coding; it's about solving problems and thinking logically. This course is a general introduction to coding in Python, one of the most popular and powerful programming languages. Step-by-step, you'll use functions, logic, loops, and libraries to take your ideas from concept to reality. By the end, you’ll be able to create useful applications from scratch, but more importantly solve technical problems - a key skill for everyone.



Professional programmers rely on powerful tools to streamline their work. We'll explore various Integrated Development Environments (IDEs) that enhance coding efficiency across multiple programming languages.
Programs need to make decisions, and that's where conditional logic comes in. You will explore if-else statements and switches, the building blocks of dynamic, decision-making code. You'll learn to create programs that respond intelligently to different scenarios.
Efficient coding is all about reusability. You will explore how to define and use functions, allowing you to write modular, maintainable code. This fundamental concept is key to creating efficient programs in any language.
Repetition is at the core of many computing tasks. You will explore for, while, and do-while loops, essential tools for efficient data processing and task automation.
Organizing complex information is crucial in programming. We'll apply lists, tuples, and dictionaries to effectively manage and manipulate data, giving you the power to handle intricate information structures with ease.
Every programmer faces bugs and errors. We'll explore techniques for handling errors and debugging which are essential skills for creating dependable applications.
Clear communication is vital in collaborative coding. We'll practice creating user-friendly documentation which is a crucial skill for any programming environment. You'll learn to make your code understandable to others and your future self.
The landscape of programming is evolving with AI. As a result, you need to learn how to harness the power of generative AI tools to boost productivity and problem-solving capabilities.
Efficiency is key in algorithm design. You will learn how to optimize code for better performance and scalability. You will also gain insights into making your programs faster and more resource-efficient.
This course is delivered online through an institution of the Lower Cost Models Consortium (LCMC) that is different than your degree-granting institution that awards the academic credit for the course.