Fix setup instructions

episodes/00-introduction.Rmd

@@ -22,7 +22,7 @@ exercises: 2
 This course aims to equip researchers with the skills to write effective tests and ensure the quality and reliability of their research software. No prior testing experience is required! We'll guide you through the fundamentals of software testing using Python's Pytest framework, a powerful and beginner-friendly tool. You'll also learn how to integrate automated testing into your development workflow using continuous integration (CI). CI streamlines your process by automatically running tests with every code change, catching bugs early and saving you time. By the end of the course, you'll be able to write clear tests, leverage CI for efficient development, and ultimately strengthen the foundation of your scientific findings.
 
 This course has a single continuous project that you will work on throughout the lessons and each lesson builds on the last through practicals that will help you apply the concepts you learn. However if you get stuck or fall behind during the course, don't worry!
-All the stages of the project for each lesson are available in the `files` directory in this course's materials that you can copy across if needed. For example if you are on lesson 3 and haven't completed the practicals for lesson 2, you can copy the corresponding folder from the `files` directory.
+All the stages of the project for each lesson are available in the `learners/files` directory in this [course's materials](https://github.com/researchcodingclub/python-testing-for-research) that you can copy across if needed. For example if you are on lesson 3 and haven't completed the practicals for lesson 2, you can copy the corresponding folder from the `learners/files` directory.
 
 By the end of this course, you should:
 
@@ -72,9 +72,9 @@ This course uses blocks like the one below to indicate an exercise for you to at
 
 ::::::::::::::::::::::::::::::::::::: keypoints 
 
-- This course will teach you how to write effective tests and ensure the quality and reliability of your research software
-- No prior testing experience is required
-- You can catch up on practicals by copying the corresponding folder from the `files` directory of this course's materials
+- This course will teach you how to write effective tests and ensure the quality and reliability of your research software.
+- No prior testing experience is required.
+- You can catch up on practicals by copying the corresponding folder from the `learners/files` directory of this [course's materials](https://github.com/researchcodingclub/python-testing-for-research).
 
 ::::::::::::::::::::::::::::::::::::::::::::::::
 

learners/setup.md

@@ -43,8 +43,11 @@ a virtual environment using the following commands:
 
 ```bash
 # For a standard Python virtual environment
-python -m venv myenv
-source myenv/bin/activate
+python -m venv venv
+# Linux
+source venv/bin/activate
+# Windows (powershell)
+.\venv\Scripts\Activate.ps1
 
 # For a conda environment
 conda create --name myenv