![Completing a code sketch (exec and eval) [PythonLiveLessons #1] @SebastiaanMath%C3%B4t](https://i.ytimg.com/vi/nBpVHmdXNuc/maxresdefault.jpg)
Uploaded February 2022 | Updated September 2026, 2 weeks ago
Episode 1 of #PythonLiveLessons, a weekly live stream about Python code (with live coding) and more, hosted by Sebastiaan Mathôt. In this episode, we'll continue working on our Python project, `markdown_code_exec`. We'll learn about the difference between expressions and statements, and the difference between eval() and exec(). At the end of this episode, we'll have a fully functional 'sketch' of our program, which we'll develop further in future episodes! [To join a live broadcast, tune in to this YouTube channel on Tuesdays, 22:00 New Delhi, 18:00 Paris (CET), 09:00 Los Angeles.]
Episode 1 of #PythonLiveLessons, a weekly live stream about Python code (with live coding) and more, hosted by Sebastiaan Mathôt. In this episode, we'll continue working on our Python project, `markdown_code_exec`. We'll learn about the difference between expressions and statements, and the difference between eval() and exec(). At the end of this episode, we'll have a fully functional 'sketch' of our program, which we'll develop further in future episodes! [To join a live broadcast, tune in to this YouTube channel on Tuesdays, 22:00 New Delhi, 18:00 Paris (CET), 09:00 Los Angeles.]
![Completing a code sketch (exec and eval) [PythonLiveLessons #1]](https://i.ytimg.com/vi/nBpVHmdXNuc/mqdefault.jpg "Completing a code sketch (exec and eval) [PythonLiveLessons #1]
Episode 1 of #PythonLiveLessons, a weekly live stream about Python code (with live coding) and more, hosted by Sebastiaan Mathôt. In this episode, well continue working on our Python project, `markdown_code_exec`. Well learn about the difference between expressions and statements, and the difference between eval() and exec(). At the end of this episode, well have a fully functional sketch of our program, which well develop further in future episodes! [To join a live broadcast, tune in to this YouTube channel on Tuesdays, 22:00 New Delhi, 18:00 Paris (CET), 09:00 Los Angeles.]")
![Starting a new Python project (regular expressions) [PythonLiveLessons #0]](https://i.ytimg.com/vi/nLsDKIWIQMA/mqdefault.jpg "Starting a new Python project (regular expressions) [PythonLiveLessons #0]
Episode 0 of #PythonLiveLessons, a weekly live stream about Python code (with live coding) and more, hosted by Sebastiaan Mathôt. In this episode, well get started with a new Python project, and well get our hands dirty with regular expressions. Well also lay out a roadmap for a full development workflow, which well walk through in future episodes. [To join a live broadcast, tune in to this YouTube channel on Tuesdays, 22:00 New Delhi, 18:00 Paris (CET), 09:00 Los Angeles.]")
![List comprehensions in Python [Python comprehensions #1]](https://i.ytimg.com/vi/qYbyXy0VPNo/mqdefault.jpg "List comprehensions in Python [Python comprehensions #1]
[https://www.buymeacoffee.com/cogsci] In this video, I demonstrate list comprehensions in Python. This is a way to build list objects with a single expression. The notebook for this video is available at https://osf.io/pyk7w/. For more tutorials, visit https://python.cogsci.nl/.")
![Creating your own class [Object-oriented programming in Python, pt. 2]](https://i.ytimg.com/vi/qxtmVGdDlwk/mqdefault.jpg "Creating your own class [Object-oriented programming in Python, pt. 2]
In this video, the second of a two-part series about object-oriented programming in Python, I show how to create your own class, including an initialization function, a method, and a property. (For more tutorials, see https://python.cogsci.nl/. For the Rapunzel IDE, see https://rapunzel.cogsci.nl/)")
![Introduction to deep learning with Python and Keras [Part 1]](https://i.ytimg.com/vi/rmNTqYGpr6Y/mqdefault.jpg "Introduction to deep learning with Python and Keras [Part 1]
(See https://python.cogsci.nl for code and written tutorials.) This is the first of a series of video tutorials about deep learning with Keras in Python. Here I introduce the basic concepts and terminology related to deep learning. I also describe how artificial neural networks compare to biological neural networks, such as our brains. Finally, I introduce TensorFlow and Keras, the Python libraries that we will use in later tutorials.")
