With the tech sector facing a wave of global job cuts, professionals need a bounce-back strategy for sudden layoffs. A viral story from an Indian techie highlights this necessity, detailing how they ...

Learn coding in Python, Go and Rust from Serdar Yegulalp, software dev specialist and senior writer at InfoWorld. You might be familiar with how Python and C can work together, by way of projects like ...

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

SimFin is a database with financial data such as Income Statements, Balance Sheets and Cash Flow Statements, along with a simple Python API for downloading and using the data. These tutorials show how ...

Now the template is in a separate file. The python code is used to load it, execute it to create a text buffer out of it. It is possible to create a base template with some parts maked as 'blocks'.

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.

The Victoria and Albert Museum (V&A) is helping preserve and document the history and culture of the internet with its latest landmark acquisition: a reconstruction of an early YouTube watch page, ...