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Post๐Ÿ“Š ๐—ฆ๐—ค๐—Ÿ vs ๐—ฃ๐—ฎ๐—ป๐—ฑ๐—ฎ๐˜€ vs ๐—˜๐˜…๐—ฐ๐—ฒ๐—น โ€” ๐—ฆ๐—ฎ๐—บ๐—ฒ ๐—Ÿ๐—ผ๐—ด๐—ถ๐—ฐ, ๐——๐—ถ๐—ณ๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐˜ ๐—ง๐—ผ๐—ผ๐—น๐˜€

26 May 2026
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๐Ÿ“Š ๐—ฆ๐—ค๐—Ÿ vs ๐—ฃ๐—ฎ๐—ป๐—ฑ๐—ฎ๐˜€ vs ๐—˜๐˜…๐—ฐ๐—ฒ๐—น โ€” ๐—ฆ๐—ฎ๐—บ๐—ฒ ๐—Ÿ๐—ผ๐—ด๐—ถ๐—ฐ, ๐——๐—ถ๐—ณ๐—ณ๐—ฒ๐—ฟ๐—ฒ๐—ป๐˜ ๐—ง๐—ผ๐—ผ๐—น๐˜€ ๐Ÿ”น Select โ†’ SELECT | df[['col']] | FILTER() ๐Ÿ”น Filter โ†’ WHERE | df[condition] | IF() ๐Ÿ”น Group โ†’ GROUP BY | groupby() | Pivot Table ๐Ÿ”น Join โ†’ JOIN | merge() | XLOOKUP() ๐Ÿ”น Sort โ†’ ORDER BY | sort_values() | SORT() ๐Ÿ”น Remove Duplicates โ†’ DISTINCT | drop_duplicates() | UNIQUE() ๐Ÿ”น Conditional Logic โ†’ CASE WHEN | np.where() | IF() ๐Ÿ’ก Learn the data concepts once, and you can work across any tool efficiently ๐Ÿš€
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