IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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Pandas Performance: Making Your Code 10x Faster
Where pandas code loses its time and the fixes that recover it, each timed on 200,000 rows: replacing iterrows and row-wise apply with column arithmetic, np.select for if-else logic, built-in groupby aggregations instead of lambdas, category columns for memory, and loading only what you need.
Data Flow Debug and Performance in ADF
Debug mode lets you watch a data flow work on live data, and it bills like a running cluster. This guide covers what debug does and does not check, the four places a data flow loses time, cluster size and time to live, partitioning and skew measured on real data, and the pipeline designs that waste clusters.