Jose Parreño

Do technicolour bars really help make a story clear? Jose Parreño · Follow Published in Towards Data Science · 12 min read · 1 hour ago — Image created with Dall-e Welcome to the fourth post in my “Plotly with code” series! If you missed the first one, you can check it out in the link below, or browse through my “one post to rule them all” to follow along with the entire series or

Don’t create a rainbow coloured bar chart. But don’t make your bar charts boring either. Jose Parreño · Follow Published in Towards Data Science · 9 min read · 22 hours ago — Image generated with Dall-e Welcome to the second post in my “Plotly with code” series! If you missed the first one, you can check it out in the link below, or browse through my “one post to rule them all” to follow

Receive clear and useful feedback. Ditch generic questions. More than 60 example questions for you to use. Jose Parreño · Follow Published in Towards Data Science · 14 min read · 21 hours ago — Photo by Marsha Reid on Unsplash Asking for feedback can be difficult, or even intimidating. There are so many factors that could influence how you ask for feedback: company culture, personal fears, an uninvolved manager, past feedback being useless, etc…

For those leading Data Science teams, here are 6 essential competencies that separate juniors from seniors in a robust and objective way. Jose Parreño · Follow Published in Towards Data Science · 10 min read · 2 hours ago — In 2021, 365 DataScience carried out a study of 1,000s of Linkedin profiles to understand trends in the data science discipline. A couple of points that really stood out were that “Very few individuals (less

Comparing the performance of streamlit and functools caching for pandas and polars. The results will surprise you! Jose Parreño · Follow Published in Towards Data Science · 12 min read · 2 hours ago — Photo by Oscar Sutton on Unsplash Streamlit is my default framework for building both proof-of-concept demos and analytical dashboards. The simplicity of the framework allows quick development and easy maintenance. However, the dark side of simplicity is that it comes

The pandas Styler is cool. But AgGrid is way cooler. Make your Streamlit dataframes interactive and stunning. Jose Parreño · Follow Published in Towards Data Science · 11 min read · 10 hours ago — In my previous post, we covered how to create pretty styled dataframes using the pandas Styler object. In this post, I want to tell you about a second option: Streamlit AgGrid. I will share how to build dataframes like the

Streamlit and the pandas Styler object are not friends. But, we will change that! Jose Parreño · Follow Published in Towards Data Science · 7 min read · 6 hours ago — I have always been a fan of the styler method in pandas. When I started building Streamlit apps, it was clear to me that I wanted to style my dataframes to aid in visualising dataframes, but… surprise! As of the time of writing,