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Guides, PDFs, videos, and curated reads to help you master topics faster - all organized in one place.
Questions in this guide help developers prepare for Python interviews across data science, backend, and automation roles. Learn decorators, OOP, and libraries asked at Netflix and startups. Even experienced Python developers will sharpen their ability to explain advanced concepts.
Practice the most frequently asked DS questions appearing in 90% of tech interviews. This resource covers arrays, trees, graphs, and algorithms asked at Google, Amazon, and Microsoft. Stop random practice and focus on what actually gets asked in coding rounds.
This resource helps analysts master Excel skills tested at consulting firms and finance companies. Learn pivot tables, Power Query, and dashboards asked at McKinsey, BCG, and Goldman Sachs. Even Excel users will discover automation techniques that save hours of work.
This guide contains common recursion-based coding problems you can practice for coding and programming interviews at FAANG companies. Learn backtracking, tree traversals, and dynamic programming patterns. Even strong coders will benefit from understanding how to explain recursive thinking clearly.
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