𝐓𝐨𝐩 10 𝐏𝐲𝐭𝐡𝐨𝐧 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬 𝐭𝐡𝐚𝐭 𝐚𝐧 𝐀𝐜𝐭𝐮𝐚𝐫𝐲 𝐦𝐮𝐬𝐭 𝐥𝐞𝐚𝐫𝐧 👇🏻👇🏻👇🏻👇🏻

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 𝐓𝐨𝐩 10 𝐏𝐲𝐭𝐡𝐨𝐧 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬 𝐭𝐡𝐚𝐭 𝐚𝐧 𝐀𝐜𝐭𝐮𝐚𝐫𝐲 𝐦𝐮𝐬𝐭 𝐥𝐞𝐚𝐫𝐧

👇🏻👇🏻👇🏻👇🏻

𝑵𝒖𝒎𝒑𝒚: for numerical computations and data manipulation.

𝑷𝒂𝒏𝒅𝒂𝒔: for data manipulation and analysis.

𝑴𝒂𝒕𝒑𝒍𝒐𝒕𝒍𝒊𝒃: for data visualization.

𝑺𝒄𝒊𝒌𝒊𝒕-𝒍𝒆𝒂𝒓𝒏: for machine learning and statistical modeling.

𝑺𝒕𝒂𝒕𝒔𝒎𝒐𝒅𝒆𝒍𝒔: for statistical modeling and hypothesis testing.

𝑺𝒆𝒂𝒃𝒐𝒓𝒏: for data visualization, built on top of Matplotlib.

𝑿𝒍𝒘𝒊𝒏𝒈𝒔: for interaction between excel and Python interface.

𝑺𝒚𝒎𝑷𝒚: for symbolic mathematics and symbolic computation.

𝑷𝒚𝑴𝑪3: for probabilistic programming and Bayesian modeling.

𝑳𝒊𝒇𝒆𝒍𝒊𝒏𝒆𝒔: for survival analysis and time-to-event modeling

𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐦𝐲 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥 𝐭𝐨 𝐥𝐞𝐚𝐫𝐧 𝐏𝐲𝐭𝐡𝐨𝐧 𝐚𝐧𝐝 𝐒𝐐𝐋 𝐟𝐨𝐫 𝐀𝐜𝐭𝐮𝐚𝐫𝐢𝐞𝐬

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