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𝟭𝟬 𝗣𝘆𝘁𝗵𝗼𝗻 𝗰𝗼𝗺𝗺𝗮𝗻𝗱𝘀 𝗲𝘃𝗲𝗿𝘆 𝗱𝗮𝘁𝗮 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 𝘀𝗵𝗼𝘂𝗹𝗱 𝗸𝗻𝗼𝘄! 🐍 1️⃣ 𝗽𝗮𝗻𝗱𝗮𝘀.𝗿𝗲𝗮𝗱_𝗰𝘀𝘃() Load data from CSV files into DataFrame for easy manipulation. 2️⃣ 𝗱𝗳.𝗵𝗲𝗮𝗱() Quickly preview the first few rows of your DataFrame to understand its structure. 3️⃣ 𝗱𝗳.𝗱𝗿𝗼𝗽𝗻𝗮() Remove missing values from your DataFrame to clean the data. 4️⃣ 𝗱𝗳.𝗴𝗿𝗼𝘂𝗽𝗯𝘆() Group data by specific columns to perform aggregate functions. 5️⃣ 𝗱𝗳.𝘁𝗼_𝘀𝗾𝗹() Save your DataFrame to a SQL database for persistent storage. 6️⃣ 𝗿𝗲𝗾𝘂𝗲𝘀𝘁𝘀.𝗴𝗲𝘁() Fetch data from APIs and web services for integration. 7️⃣ 𝗷𝘀𝗼𝗻.𝗹𝗼𝗮𝗱𝘀() Parse JSON data to work with nested data structures. 8️⃣ 𝗼𝘀.𝗽𝗮𝘁𝗵.𝗷𝗼𝗶𝗻() Construct file paths in a platform-independent manner. 9️⃣ 𝗴𝗹𝗼𝗯.𝗴𝗹𝗼𝗯() Retrieve files matching a specified pattern for batch processing. 🔟 𝗺𝗮𝘁𝗽𝗹𝗼𝘁𝗹𝗶𝗯.𝗽𝘆𝗽𝗹𝗼𝘁.𝗽𝗹𝗼𝘁() Create simple plots and visualizations to analyze data trends. . What other Python commands do you find essential? Share your thoughts below! #dataengineering #python #dataleaders

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