No-code and low-code data software open the door for users of all backgrounds to fully leverage their organizational data. While RapidMiner and Alteryx both provide software platforms with similar ...

For close to two decades, companies like Facebook, Amazon, JP Morgan and Uber have been writing the book on how to successfully use data science to grow their businesses. Thanks to these innovators ...

Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...

The data science and machine learning technology space is undergoing rapid changes, fueled primarily by the wave of generative AI and—just in the last year—agentic AI systems and the large language ...

The role of the software developer is as central to an organization's success now as those right at the top. While they might not be involved in corporate decision making, developers are crucial to ...

The latest trends in software development from the Computer Weekly Application Developer Network. We have entered the age of data engineering. That’s a lie, in truth, we’ve been working with data ...

What do you get when you combine the No. 1 code editor with the No. 1 programming language for data science? You get more than 60 million installs of the Python ...

According to a new survey of data professionals, Python remains the No. 1 tool for data science. As the report authors conclude, “Python is definitely top dog when it comes to data.” There’s reason to ...

Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...