Modernize your dashboards with Shiny for Python SCSS — Syntactically Awesome Style Sheets — There’s a more powerful design kid on the block with the name of SASS (Syntactically Awesome Style Sheets), and it simplifies how app styles are written and maintained. …

3 ways for imputation in R with practical examples. — Real-world data is often messy and full of missing values. As a result, data scientists spend the majority of their time cleaning and preparing the data, and have less time to focus on predictive modeling and machine learning. If there’s one thing all data preparation steps share, then it’s dealing…

Want to compare the performance across different versions of your Shiny app? Try shiny.benchmark by Appsilon. — The shiny.benchmark package by Appsilon allows you to compare the performance of different versions of R Shiny applications. You can write instructions that will be executed and evaluated on different versions of your app and easily measure the performance differences. In today’s article, you’ll learn how to install and use…

Beginner and advanced examples of Stacking in Numpy — Learn how to join a sequence of arrays easily — Numpy is an amazing library for data science and machine learning, so there’s no way around it if you want to become a data professional. …

CSV files for big data storage? Think twice — there are radically better options available. These 5 will save IO time and disk space. — Everyone knows CSV, but is it really the file format you should use 100% of the time? Well, no. It has some obvious benefits, such as direct file editing and ease of understanding, but the drawbacks could cost you thousands of dollars in disk space and I/O time. Today I’ll…

I asked ChatGPT to do 5 things, from explaining a formula to creating a neural network model. The results got me thinking… — ChatGPT is an artificial intelligence chatbot developed by OpenAI. It specializes in dialogue, but you can use it for things as advanced as code generation. Naturally, software engineers and data scientists got scared for their job safety, but should they? Can AI replace tech professionals?

Are you new to deep learning? Get started with PyTorch! This article will teach you the basics of PyTorch Neural Networks with a hands-on example. — Deep learning might seem like a challenging field to newcomers, but it’s gotten easier over the years due to amazing libraries and community. PyTorch library for Python is no exception, and it allows you to train deep learning models from scratch on any dataset.

Want to include only the libraries you use in requirements.txt? Try pipreqs, a Python module for creating leaner requirements files. — Every Python project should have a requirements.txt file. It stores the information of all libraries needed for a project to run, and is essential when deploying Python projects. This is traditionally done via the pip freeze command, which outputs all libraries installed in a virtual environment.

There’s more than one way to Python square roots. Learn 5 approaches to square roots in Python + some bonus advanced tricks. — After learning about 4 ways to square a number in Python, now it’s time to tackle the opposite operation — Python square roots. …