To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

A new Arcjet SDK lets Python teams embed bot protection, rate limiting, and abuse prevention directly into application code.

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 ...

AI data trainer roles have moved from obscure contractor gigs to a visible career path with clear pay bands and defined ...

AI data trainers who ensure the accuracy and viability of training data going into AI models are well-compensated, in-demand professionals. Two new studies projected potential annual incomes ranging ...

So, you want to learn Python online and you’re wondering where to start? Reddit can be a surprisingly good place to get pointers, even if it’s not a formal course itself. People share what works for ...

80% of data analysis is cleaning and preparing data. A major part of that cleaning is data tidying—structuring datasets into a consistent, predictable format that simplifies analysis, modeling, ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Working with numbers stored as strings is a common task in Python programming. Whether you’re parsing user input, reading data from a file, or working with APIs, you’ll often need to transform numeric ...

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() ...