IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics β written by GloryTecks trainers in Hyderabad.
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Chain-of-Thought Prompting: Making LLMs Reason
Chain-of-thought prompting asks a model to write out its reasoning before the answer. This guide explains why that helps, measures it on 20 arithmetic word problems with a small open model, counts what the extra tokens cost, and explains why newer reasoning models have made the instruction unnecessary for them.
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.