Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your ...
TensorFlow, PyTorch, and Keras enable advanced deep learning applications. Scikit-learn, XGBoost, and LightGBM handle structured data efficiently. LangChain, Ollama, and Anthropic SDK support advanced ...
Personal Data Servers are the persistent data stores of the Bluesky network. It houses a user's data, stores credentials, and if a user is kicked off the Bluesky network the Personal Data Server admin ...
Cybersecurity researchers have discovered two new malicious packages in the Python Package Index (PyPI) repository that are designed to deliver a remote access trojan called SilentSync on Windows ...
Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...
Why write SQL queries when you can get an LLM to write the code for you? Query NFL data using querychat, a new chatbot component that works with the Shiny web framework and is compatible with R and ...
This sample Python REST API application was written for a tutorial on implementing Continuous Integration and Delivery pipelines. $ conda env create -n ci-cd-tutorial-sample-app python=3.8 $ source ...
This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...
In any Tkinter program, the first thing you need is a window. This window will act as a container for your app. This line brings the Tkinter library into your program. We give it the nickname tk so we ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback