🔍 𝐄𝐱𝐩𝐥𝐨𝐫𝐢𝐧𝐠 𝐏𝐚𝐧𝐝𝐚𝐬 𝐰𝐢𝐭𝐡 𝐑𝐞𝐚𝐥-𝐓𝐢𝐦𝐞 𝐖𝐞𝐚𝐭𝐡𝐞𝐫 𝐃𝐚𝐭𝐚! 🌦️
𝐏𝐚𝐧𝐝𝐚𝐬 is a powerful open-source 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐚𝐧𝐝 𝐦𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐥𝐢𝐛𝐫𝐚𝐫𝐲. Mastering Python and Pandas is crucial in data engineering for handling structured data effectively. I have documented all the crucial data structures and functions of Pandas, and executed various operations on a real-time weather dataset to demonstrate its capabilities.
✅𝘐𝘯𝘪𝘵𝘪𝘢𝘭𝘪𝘻𝘪𝘯𝘨 𝘥𝘢𝘵𝘢𝘧𝘳𝘢𝘮𝘦/𝘴𝘦𝘳𝘪𝘦𝘴 𝘧𝘳𝘰𝘮 𝘥𝘪𝘧𝘧𝘦𝘳𝘦𝘯𝘵 𝘥𝘢𝘵𝘢𝘵𝘺𝘱𝘦
✅𝘐𝘯𝘥𝘦𝘹𝘦𝘴
✅𝘉𝘢𝘴𝘪𝘤 𝘧𝘶𝘯𝘤𝘵𝘪𝘰𝘯𝘴
✅𝘚𝘭𝘪𝘤𝘪𝘯𝘨 𝘳𝘰𝘸𝘴 𝘢𝘯𝘥 𝘤𝘰𝘭𝘶𝘮𝘯𝘴
✅𝘊𝘩𝘢𝘪𝘯𝘦𝘥 𝘪𝘯𝘥𝘦𝘹𝘪𝘯𝘨 𝘷𝘴 𝘴𝘪𝘯𝘨𝘭𝘦 𝘳𝘰𝘸 𝘪𝘯𝘥𝘦𝘹𝘪𝘯𝘨
✅𝘭𝘰𝘤 𝘢𝘯𝘥 𝘪𝘭𝘰𝘤
✅𝘜𝘴𝘦 𝘰𝘧 𝘪𝘯𝘱𝘭𝘢𝘤𝘦
✅𝘍𝘪𝘭𝘵𝘦𝘳𝘪𝘯𝘨
✅𝘊𝘰𝘭𝘶𝘮𝘯 𝘰𝘱𝘦𝘳𝘢𝘵𝘪𝘰𝘯𝘴
✅𝘗𝘪𝘷𝘰𝘵 𝘵𝘢𝘣𝘭𝘦
✅𝘎𝘳𝘰𝘶𝘱 𝘣𝘺
✅𝘊𝘰𝘯𝘤𝘢𝘵,𝘔𝘦𝘳𝘨𝘦 𝘢𝘯𝘥 𝘑𝘰𝘪𝘯
𝐌𝐢𝐧𝐢 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 includes:
1)𝘍𝘪𝘯𝘥 𝘢𝘭𝘭 𝘵𝘩𝘦 𝘶𝘯𝘪𝘲𝘶𝘦 𝘞𝘪𝘯𝘥 𝘚𝘱𝘦𝘦𝘥 𝘷𝘢𝘭𝘶𝘦𝘴 𝘳𝘦𝘤𝘰𝘳𝘥𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘥𝘢𝘵𝘢𝘴𝘦𝘵
2)𝘍𝘪𝘯𝘥 𝘵𝘩𝘦 𝘯𝘶𝘮𝘣𝘦𝘳 𝘰𝘧 𝘵𝘪𝘮𝘦𝘴 𝘸𝘩𝘦𝘯 𝘵𝘩𝘦 𝘸𝘦𝘢𝘵𝘩𝘦𝘳 𝘸𝘢𝘴 "𝘤𝘭𝘦𝘢𝘳"
3)𝘍𝘪𝘯𝘥 𝘵𝘩𝘦 𝘯𝘶𝘮𝘣𝘦𝘳 𝘰𝘧 𝘵𝘪𝘮𝘦𝘴 𝘸𝘩𝘦𝘯 𝘵𝘩𝘦 𝘸𝘪𝘯𝘥 𝘴𝘱𝘦𝘦𝘥 𝘸𝘢𝘴 𝘦𝘹𝘢𝘤𝘵𝘭𝘺 4 𝘬𝘮/𝘩
4)𝘎𝘦𝘵 𝘵𝘩𝘦 𝘧𝘪𝘳𝘴𝘵 3 𝘢𝘭𝘵𝘦𝘳𝘯𝘢𝘵𝘪𝘯𝘨 𝘳𝘰𝘸𝘴 𝘧𝘳𝘰𝘮 𝘵𝘩𝘦 𝘸𝘦𝘢𝘵𝘩𝘦𝘳_𝘥𝘧 𝘥𝘢𝘵𝘢𝘧𝘳𝘢𝘮𝘦, 𝘣𝘶𝘵 𝘰𝘯𝘭𝘺 𝘵𝘩𝘦 𝘝𝘪𝘴𝘪𝘣𝘪𝘭𝘪𝘵𝘺 𝘢𝘯𝘥 𝘙𝘦𝘭𝘢𝘵𝘪𝘷𝘦 𝘏𝘶𝘮𝘪𝘥𝘪𝘵𝘺 𝘤𝘰𝘭𝘶𝘮𝘯𝘴
It is part of darshil parmar 𝘱𝘺𝘵𝘩𝘰𝘯 𝘧𝘰𝘳 𝘥𝘢𝘵𝘢 𝘦𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨 course. Thanks for open sourcing the code.