Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

The North Korean threat actors behind the Contagious Interview campaign have once again tweaked their tactics by using JSON storage services to stage malicious payloads. "The threat actors have ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

JSON Prompting is a technique for structuring instructions to AI models using the JavaScript Object Notation (JSON) format, making prompts clear, explicit, and machine-readable. Unlike traditional ...

The latest trends and issues around the use of open source software in the enterprise. JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

The Python interpreter provides you with an environment for experimentation and observation—the Python shell, where we work in interactive mode. It’s a great way to get your feet wet. Figure 1: The ...

"description": "Satellite data is more widely available than ever before, and it is now possible for the public to access sub-weekly and even daily imagery of the Earth's entire landmass. In this ...