Making Computation Easier with Cool Numpy Tricks - Kirit Thadaka скачать в хорошем качестве

Making Computation Easier with Cool Numpy Tricks - Kirit Thadaka

PyData LA 2018 Numpy is a premier scientific computing library that can turn any problem into a piece of cake if used correctly. It is highly optimized to give you all the functionality you need without having to compromise on performance. In this tutorial I will take you through some of the more powerful Numpy functions that will help you solve your problems better and in fewer lines of code. Repo - https://github.com/kirit93/NumpyTutorial --- www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 0:00 Introduction 2:26 Basic Numpy 9:38 Structured Numpy Array 11:43 Broadcasting 19:03 Fancy Indexing numpy 01:04:06 Stride Tricks 01:12:30 Einsum 01:23:47 Convolution using stride tricks and einsum S/o to https://github.com/John98Zakaria for the video timestamps! Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVi...