Overview Python, JavaScript, SQL, and Kotlin remain essential as demand for AI, data, and web development grows.TypeScript, ...
It’s not surprising that developers have become increasingly dependent on the open source PostgreSQL, the nearly 30-year-old ...
With the official release of Microsoft's latest database offering, let's see what was improved and what still needs some work ...
During QCon SF, Jeremy Edberg and Qian Li from DBOS presented a non-conventional architectural approach to workflow ...
SANTA CLARA, CA - November 17, 2025 - - As businesses generate, process, and analyze data at accelerating rates, the ability ...
The demand for AI human resources in Vietnam is exploding. TopDev reports continuously show that AI/Machine Learning is a ...
How to become a data scientist Want to start a career as a data scientist? Learn how to become a data scientist with career ...
Hidden Python libraries can make data analysis faster and easier for large datasets. Tools like Polars, Dask, and Sweetviz simplify data cleaning, modeling, and visualization. Learning new Python ...
A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using tools that would have required entire specia ...
Abstract: The growth of Python adoption across diverse domains has led to increasingly complex codebases, presenting challenges in maintaining code quality. While numerous tools attempt to address ...
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