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numpy-library

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Inside this repository, you'll discover a comprehensive notebook dedicated to showcasing various NumPy array methods and operations. From basic array manipulation to advanced techniques, I've compiled a collection of examples and explanations to help both beginners and seasoned Python developers deepen their understanding of NumPy.

  • Updated May 20, 2024
  • Jupyter Notebook

This repository contains tutorial exercises for the following scientific computing libraries: NumPy, SciPy, Matplotlib, and Pandas. These exercises were completed using Jupyter notebooks for exhibitionary purposes.

  • Updated Jun 26, 2018
  • Jupyter Notebook

Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.

  • Updated Aug 18, 2023
  • Jupyter Notebook

This notebook delves into the core concepts and operations of NumPy, a powerful library for numerical computing in Python. NumPy provides the foundation for scientific computing in Python, offering high-performance multidimensional array objects and tools for working with these arrays.

  • Updated Sep 29, 2024
  • Jupyter Notebook

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