Plotly Go: advanced visualization in Python
Visualizing data is critical to better understand the data and analysis performed. There are several tools, free and paid, that allow you to create fantastic dashboards. However, it is possible to write a few riches in Python to get great results and be more flexible depending on the project of interest. Let’s find out how to create interactive Scatter Bubble charts with Plotly Go on a real project.
Clustering: a real project to explore data
Clustering is a very powerful tool for grouping data. There are many algorithms that can be applied, so the choice is always difficult. In addition, all clustering algorithms require parameters to work. By means of a real case study, applied to real estate data, we will combine PCA, hierarchical clustering and K-means to provide optimal clustering solutions.
OpenCV and Streamlit: create a photo editing app
Manipulating images is a task that is very useful in several application fields. OpenCV, a Python library, easily allows us to modify images according to our needs. In this tutorial we discover how to build a simple web app using Streamlit to apply some effects to our photos.
Streamlit: how to improve the user experience of a web app
With Streamlit, you can create interactive dashboards in no time. However, the user interface must be intuitive, easy to use and effective. In this tutorial we will discover how to improve a web app with a few simple tricks.
Streamlit: Build a Web App in minutes
Developing web apps requires a lot of skills not only related to data management and manipulation, but especially data visualization. Using visualization software such as Kibana and Tableau can, in some cases, be the salvation to reduce development time. With Streamlit, a Python framewrok, you can very quickly develop a web app or interactive dashboard without any frontend programming skills. This tutorial will illustrate how you can do it in a few minutes.
GPT-2: automatic text generation with Python
Generating textual content is a challenging job that requires time and resources. With artificial intelligence, it is now possible to generate content simply from a few words. The technologies developed by OpenAI, including GPT-2, have opened new frontiers of application related to Natural Language Generation. Let’s find out how to automatically generate short texts using a few lines of Python code.
Pillow: optimize images with Python
Optimizing images is key to making websites faster and improving SEO. With the advent of WebP format, it is possible to provide quality images but much “lighter”. In this article we discover how to transform jpg and/or png images into the webp format using a few lines of code written in Python and the Pillow library.
Node.js vs Python: comparing the two technologies for the backend
Choosing a programming language for the backend development of an application is a crucial step. There are several languages that meet the needs of various projects. In this article, we analyze Node.js and Python, the two most widely used languages, to discover their features and provide a guide for an informed choice.
Django vs Flask: Python web frameworks comparison
Choosing a web framework for developing a web application is always important. The best Python frameworks are, according to developers, Django and Flask. Let’s find out their peculiarities and try to understand which one is the best according to the needs of our project.
