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Numpy Programming

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Track :

Programming

Lessons no : 14

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What will you learn in this course?
  • Master how to create and manipulate multidimensional NumPy arrays for efficient data processing and analysis
  • Apply NumPy functions to perform mathematical, statistical, and algebraic operations on large datasets
  • Implement array broadcasting and vectorization techniques to optimize numerical computations in Python
  • Utilize NumPy for data cleaning, transformation, and preprocessing in scientific and machine learning workflows
  • Develop skills to integrate NumPy with other data science libraries like Pandas, Matplotlib, and SciPy
  • Solve real-world problems involving large-scale numerical data using NumPy's optimized array operations
  • Analyze and visualize data effectively by leveraging NumPy's array manipulation capabilities
  • Troubleshoot common issues in NumPy array handling to ensure robust and error-free numerical programming

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Lessons | 14


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Minnie Tanwar

Too good 2023-09-20

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NumPy is a community-developed, open-source library, which provides a multidimensional Python array object along with array-aware functions that operate on it. Because of its inherent simplicity, the NumPy array is the de facto exchange format for array data in Python .