The economic impact of the COVID-19 pandemic cannot be overstated and we may not know the full extent of the damage for some time to come.

However, one thing has become clear: digital transformaion can cushion the blow and realize efficiencies even now.

Artificial intelligence is one of the most tech-forward ways that businesses are boosting efficiency, though not the only one, by any means. But the goals of incorporating newer, digitally powered tools are similar: greater company efficiency and more satisfied customers.

Here’s an interesting interview with the team behind Julia, an up-and-coming language for data science and AI.

At the same time, Julia is general purpose, and provides facilities for creating dashboardsdocumentationREST APIsweb applicationsintegration with databases, and much more. As a result, Julia is now seeing significant commercial adoption in a number of industries. Data scientists and engineers across industries not only use Julia to develop their models, but are able to deploy their programs to production with a single click using Julia Computing’s products.

Maintaining both quality and speed is a real challenge, and testing methodologies can either aid or downshift the acceleration rapid application development.

See how using right tools, continuous integration can address these challenges so that testing is no longer a burden that rests solely on the shoulders of the test team; but is an integral part of the product development from the start of development cycle all the way to release.

Time index:

  • [04:24] Real Device Testing
  • [05:50] Adhoc Testing with Real Devices
  • [10:06] Augmented Manual Testing
  • [14:40] “No code” Automated Testing
  • [20:41] Smart Automation Recording
  • [22:35] Azure DevOps integration

More Information:

DevOps Lab Favorite Links:

Here’s a great listicle on why Python is the goto language of big data.

Don’t get me wrong, R is also a great choice, but I think the article is geared to convincing developers of other languages to check out Python.

Big Data is the most valuable commodity in present times! The data generated by companies and people is growing so much that the data generated would reach 175 zettabytes in 2025 whereas it is around 50 zettabytes currently. And Python is the best programming language to manage this Big […]