Discover the leading code analysis tools for DevOps teams in 2025. Enhance your software development process with automated security and quality checks to mitigate risks and improve code health.

Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data ...

Overview: Interactive Python courses emphasize hands-on coding instead of passive video learning.Short lessons with instant ...

Once the project was ready, I fed the entire codebase into NotebookLM. I uploaded all the .py files as plain text files, ...

The new major version with a new JIT compiler, a revised parallelization API, and a maturing type system paves the way for ...

Discover the 10 best Infrastructure as Code (IaC) tools for DevOps teams in 2025. Learn how these tools enhance automation, stability, and scalability in cloud environments. Improve your deployment ...

The Hindu’s Data Team recently published an article detailing discrepancies in voter deletions across polling booths in Tamil ...

Here are six predictions for how AI capabilities will evolve in 2026.

CodeRabbit analyzed 470 GitHub pull requests and found AI-generated code introduces more defects than human-written code ...

VS Code is a popular choice because it’s free, flexible with lots of extensions, and has built-in Git support, making it a strong python coding app option. Thonny is specifically designed for ...

The average AI-generated pull request has 10.83 issues compared with 6.45 for human code, report claims Quality can be better in terms of typos, leaving room for human reviewers Microsoft code patches ...

The CodeRabbit report found that AI-generated code falls short of meatbag-made code across the major issue categories. The bots created more logic and correctness errors (1.75x), more code quality and ...