Creating Interactive Slideshow using Jupyter’s built-in Slideshow Features
Until now, we learnt about the different ways of creating interactive slideshows in Jupyter Notebook with the help of RISE. But, there are some other methods too, which can be used for creating slideshows in Jupyter Notebook. One of them is “Jupyter’s built-in slideshow feature”. To create interactive slideshows in Jupyter Notebook with the help of its built-in feature, perform the following steps:
Step 1: Open a New Notebook
To start with, open a new notebook and rename it.
Step 2: Create new Slides
Once you are inside a new fresh notebook, start creating slides as much as you want to add in your slideshow.
Step 3: Enable SlideShow Mode
After you are done with the creation of all the slides, define them as specific slide-type such as “Slide”, “Sub-Slide”, “Fragment”, “Skip”, “Notes”, “Markdown”. Also, enable the slideshow mode through the “Cell Toolbar” in the Notebook toolbar.
Step 4: Run the Notebook for SlideShow
Next, save your notebook and close it. Open the Command Prompt, and run the below mentioned command to see your notebook as a slideshow.
jupyter nbconvert myslideshow.ipynb --to slides --post serve
Replace myslideshow.ipynb with your notebook filename. The above command will convert your Jupyter Notebook to a slideshow.
Creating Interactive Slideshows in Jupyter Notebooks
We all have been very well acquainted with the creation of slideshows by using Microsoft PowerPoint for our schools, colleges, or offices in our day-to-day lives. But, have we ever wondered how would it be to create a slideshow through the Jupyter Notebook? The advantages of creating slideshows with Python and Jupyter are its version control capability, dynamicity in the slideshows, easy sharing of codes with others in the groups, and a single presentation document, but the only con with this is that it doesn’t have many themes to apply in the slides, due to which it may look sort of a little plain.
In this article, we will walk through the different methods used for creating interactive slideshows in Jupyter Notebook like through RISE, with Jupyter’s built-in slideshow feature, Jupyter widgets, and ipywidgets and voila and voila-reveal. Also, we will read about the importance of creating interactive slideshows, how to customize our slides in the slideshows, and the processes involved in exporting the slideshow.
Now, coming to the basic query to ask everyone, and which every individual has in their mind is
Why Interactive SlideShow?
Some of the reasons why interactive slideshows are appreciated are mentioned below:
1. It easily helps in capturing audiences’ attention because of its interactive clickable elements, colours, images, videos, etc. making the presentation more memorable.
2. Users can delve further into data visualizations, charts, and graphs in interactive slideshows for data-driven presentations. To acquire deeper insights, they might filter data or zoom in on particular data points.
3. Interactive slideshows possess features like surveys and quizzes to collect feedback and gauge audience comprehension in real-time, which can be useful for training or instructional purposes.
4. Presenters can adapt their information to their audience’s demands by using interactive slideshows. Users can take their own route through the content by concentrating on the subjects that are most interesting or important to them, creating a more individualized experience.
Contact Us