An introduction to Python 3 and interactive programming with Jupyter Notebooks
InstructorChris Levy
Free
Free
Free
Each major chapter includes dedicated segments for practice questions to reinforce core concepts like loops, lists, and functions.
Editorial course preview
These 3 complementary views highlight concrete, legible examples from the course presentation.
This course landing page displays the title 'Learn to code with an Introduction to Python 3', lists learning outcomes such as understanding basics and Jupyter Notebooks, and shows the instructor in a video preview.
The image displays a GitHub repository interface showing folders like notebooks and a README file describing resources for a Python course.
This image displays the digital book interface for the Introduction to Python 3 course, showing the chapter list on the left and the introductory text alongside the author's photo.
The curriculum features a specific project involving the creation of an image module, downloading images from URLs, and utilizing the Pillow library.
One signal suggests the Jupyter Notebook setup may be out of date, as current installation steps might differ from those shown in the videos.
Selected from the course's public promotional preview. These images document visible presentation material only; they do not represent the complete paid curriculum.
The curriculum aligns well with the stated goal of providing a foundation for beginners.