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…
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.
In today’s post, I will explain how to perform queries on an SQL database using Python. Particularly, I will cover how to query a database with SQLAlchemy, Flask-SQLAlchemy, and Pandas. If you want to start with a toy project, I recommend that you first check last week’s post about creating a Flask application with a…
