Skip to content
#

numpy-library

Here are 95 public repositories matching this topic...

Image segmentation, feature description and object tracking form the foundation of many successful applications of computer vision. The objective of this task is for you to become familiar with these techniques and their implementation in OpenCV.

  • Updated Oct 23, 2017
  • Jupyter Notebook

NumPy is the fundamental package for scientific computing with Python. It contains among other things: a powerful N-dimensional array object sophisticated (broadcasting) functions tools for integrating C/C++ and Fortran code useful linear algebra, Fourier transform, and random number capabilities

  • Updated Apr 7, 2021
  • Jupyter Notebook

The University of California, San Diego, course DSE200x "Python for Data Science" (Summer 2018): Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. Part 1 of »Data Science« MicroMasters® on edX. Instructors: Ilkay Altintas, Chief Data Science Officer, San Diego Supercomputer Center (SDSC) and Leo Porter, Assistant Teaching Professor, Computer Science and Engineering at University of California San Diego

  • Updated Mar 27, 2020
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the numpy-library topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the numpy-library topic, visit your repo's landing page and select "manage topics."

Learn more