In this article author Sachin Joglekar discusses the transformation of CLI terminals becoming agentic where developers can state goals while the AI agents plan, call tools, iterate, ask for approval ...

Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets make each project practical and industry-relevant. Skills gained cover analysis, ...

Small hands-on Python projects help young learners understand loops, variables, and logic naturally through play. Instant on-screen results maintain motivation and make coding feel rewarding rather ...

This grant scheme will follow a two-step process. Applicants will initially prepare and submit short concept notes which will be reviewed and short-listed. Applications received after the above ...

Most go off course. To make sure yours succeed, consider these five steps. by Iavor Bojinov When I worked as a data scientist at LinkedIn in 2018 and 2019, AI was of interest only to a small team of ...

Git isn’t hard to learn. Moreover, with a Git GUI such as Atlassian’s Sourcetree, and a SaaS code repository such as Bitbucket, mastery of the industry’s most powerful version control tools is within ...

In forecasting economic time series, statistical models often need to be complemented with a process to impose various constraints in a smooth manner. Systematically imposing constraints and retaining ...

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() ...

Ghost chains are blockchains that are technically operational but have little to no real-world usage, development, or community engagement. Common warning signs include stagnant developer activity, ...