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Welcome to Lecture 88 of the course "Programming in Python" by Prof. Sudarshan Iyengar. Full Course: https://study.iitm.ac.in/ds/course_pages/BSCS1002.html Video Overview In this lecture we are introduced to NumPy one of the most powerful Python libraries for numerical computing. We focus on the core concept of NumPy arrays or ndarrays and compare them with Python lists. Understanding these differences is essential for efficient scientific computing and data analysis. Topics include memory allocation performance differences element types and the advantages of using arrays over lists in numerical tasks. This lecture lays the foundation for applying NumPy in data science and machine learning. About About IIT Madras' online Bachelor of Science programme IIT Madras offers four-year BS programmes that aim to provide quality education to all, irrespective of age, educational background, or location. The BS programme has multiple levels, which provide flexibility to students to exit at any of these levels. Depending on the courses completed and credits earned, the learner can receive a Foundation Certificate from IITM CODE (Centre for Outreach and Digital Education), Diploma(s) from IIT Madras, or BSc/BS Degrees from IIT Madras. For more details Visit: https://www.iitm.ac.in/academics/study-at-iitm/non-campus-bs-programmes #NumPy #Python #ndarray #Arrays #Lists #ScientificComputing #DataAnalysis #PythonTutorial #MemoryAllocation #Performance #NumericalPython #PythonForDataScience #PythonForMachineLearning #LearnPython #CodeWithPython #PythonCourse
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