In today’s post, we will cover the basics of the web framework Streamlit. I am especially interested in Streamlit’s focus on data science applications. Therefore, we will build a simple web app with some data visualization on a housing price dataset. Read until the end to see a working example. At the same time, I…
A few weeks ago, I covered how to install and get started with Manim and Python in a blog post and also made a YouTube video about it: In today’s post, I want to expand on Manim and show how we can use it to create bar chart animations. Previously, I made a YouTube video…
Adding interactive plots to a Flask application can be a simple process. There are several methods to accomplish this, but today I will focus on a graphical Python library called Bokeh. If you have been following my posts, I wrote an article about creating a Flask web app with a MySQL database in the background.…
Today we will explore how to build more complex plots using pandas and matplotlib. Last week, I wrote a post covering common plots that can be created with these libraries. However, I did not get a chance to go deeper into them. Therefore, you can consider this as a follow-up to that post. First, I’ll…
Learn how to do data visualization with pandas and matplotlib. With these examples, you can turn the default charts into descriptive plots.
