YouTube
🚀 In this comprehensive Python tutorial, we’ll cover essential NumPy functions and methods, including creating arrays, slicing, reshaping, and performing basic statistical operations.
📈 NumPy Arrays: Understand the power of NumPy arrays and how they outperform standard Python lists.
🔍 Array Creation: Explore different techniques for creating arrays, such as np.array, np.arange, np.zeros, np.ones, and more.
💡 Array Manipulation: Learn how to reshape arrays using reshape, find the maximum and minimum values with max and min, and get their indices with argmax and argmin.
📊 Array Analysis: Perform basic statistical operations on arrays to gain valuable insights into your data.
GitHub
💻 GitHub: [https://github.com/orioninsist/tensorflow-python-fundamentals]
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#numpy #pythontutorial #datascience #programming #dataanalysis #code #python #python3 #tensorflow
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Keywords/Tags: NumPy, Python tutorial, Data Science, NumPy arrays, array creation, array manipulation, array analysis, Python programming, data analysis, data manipulation, Python library, data science tutorial, programming tutorial, data science skills, statistical operations, NumPy functions, data analysis tutorial, Python data science, NumPy tutorial, NumPy methods, array slicing, statistical analysis, Python data analysis, data science beginners
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Thank you
Thank you for your continued support, and I’m excited to have you on this enriching journey!
Sincerely, Founder of orioninsist
Follow the white rabbit
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