Lesson 16 NumPy Aggregation and Statistics

📊 Lesson 16: NumPy Aggregation & Statistics | Complete Tutorial In this Lesson 16, we learn how to use NumPy Aggregation and Statistics functions to analyze numerical data quickly and efficiently. NumPy provides powerful functions that help us calculate totals, averages, minimums, maximums, spread, positions, and percentiles. 📚 In This Lesson, You Will Learn: ✅ sum() — Calculate the total ✅ min() and max() — Find minimum and maximum values ✅ mean() — Calculate the average ✅ median() — Find the middle value ✅ std() and var() — Standard deviation and variance ✅ percentile() — Understand percentiles ✅ argmin() and argmax() — Find the index of minimum/maximum values ✅ axis — Perform calculations by rows and columns ✅ Practical examples with NumPy arrays 💻 Follow along with the examples and practice each function to strengthen your NumPy and Data Analysis skills. 🎯 Learn • Practice • Code • Grow 🔔 If you find this tutorial helpful, Like, Comment, Share, and Subscribe for more Python, NumPy, Data Science, and Machine Learning tutorials. Learning with Alamgeer Khan 🚀 Code Today — A Better Tomorrow! Hashtags #numpy , #numpytutorial , #NumPyStatistics, #NumPyAggregation, #python , #pythontutorials , #pythonforbeginners , #learnpython , #PythonProgramming, #dataanalysis , #datascience , #machinelearning , #PythonDataScience, #NumericalPython, #NumPyArray, #pythoncourseforbeginners , #PythonLesson, #learntocode , #Coding, #programming , #programmingforbeginners , #dataanalytics , #statisticsforeconomics , #pythonbasics , #LearningWithAlamgeerKhan