Are You Ready for Python Foundations?
Python Foundations is an introduction to the Python language for scientists, engineers, and other technical professionals. You do not need previous Python experience, but the course moves quickly and assumes that you are already comfortable using a computer and recognize a few basic programming ideas.
Computer skills you should already have
You should be able to:
- Use a mouse or trackpad, type comfortably, and switch between open applications and windows.
- Distinguish an application from a file and a web browser from a native application.
- Download a file, locate it, open it, and extract a ZIP archive.
- Navigate folders such as Documents and Downloads.
- Recognize filenames, file extensions such as
.pyand.csv, and file paths. - Copy and paste text accurately without changing punctuation or indentation.
- Locate commonly used programming keys, including parentheses, brackets, quotes, colons, underscores, slashes, and the Escape and modifier keys.
Terminal skills you should already have
The course uses Terminal on macOS and Command Prompt or PowerShell on Windows. You do not need to be a command-line expert, but you should understand what a command prompt is and be able to:
- Open a terminal window.
- Identify the current directory.
- List the files and folders in a directory.
- Move into a directory and return to its parent directory.
- Read a displayed file path.
- Copy the complete command and error message when asking for help.
Programming ideas you should recognize
Previous experience in Python is helpful but not required. Experience in another programming language—such as MATLAB, R, C, C++, FORTRAN, Java, Visual Basic, or VBA—is excellent preparation. At minimum, these ideas should be familiar:
- Values and data types
- Whole numbers, decimal values, text, and true-or-false values represent different kinds of information.
- Variables
- A value can be assigned a name and used later.
- Collections
- Several related values can be stored and processed together.
- Conditional logic
- A program can choose what to do based on whether a condition is true or false.
- Loops
- A program can repeat an operation for several values or until a condition changes.
- Functions
- A named, reusable operation can accept information and return a result.
What the course will teach you
You are not expected to arrive knowing Python syntax, JupyterLab, NumPy, Matplotlib, or pandas. Those are part of the course. Python Foundations covers Python data types and containers, control statements, functions, modules, files, exceptions, object-oriented programming, arrays, plotting, and tabular data.
Not sure whether you are ready?
Try the Python Foundations readiness check. It takes about 20–30 minutes and does not require previous Python experience. It will help you evaluate your comfort with files, terminal navigation, basic computational reasoning, and a short code example.