Pycon 2018 Xarray

June 15, 2026
Media Summary: Processing thousands of satellite images to understand air quality in the UK - it's efficient and easy with Speaker: James Bennett At some point every Python programmer sees Python bytecode files -- they're those '.pyc' files Python ... Speaker: Matthew Rocklin We use JupyterHub,

Pycon 2018 Xarray - Detailed Analysis & Overview

Processing thousands of satellite images to understand air quality in the UK - it's efficient and easy with Speaker: James Bennett At some point every Python programmer sees Python bytecode files -- they're those '.pyc' files Python ... Speaker: Matthew Rocklin We use JupyterHub, Deepak Cherian provides the first scheduled tutorial of OceanHackWeek 2022 on In this tutorial video, we explain the fundamentals of Build Polished, Data-driven Applications Directly From Your Pandas or

MetPy Docs: GitHub: Python Mailing List: ...

Photo Gallery

PyCon 2018 XArray
XArray: the power of pandas for multidimensional arrays
Breaking up arrays up into chunks for fun and science with Xarray and Dask
James Bennett - A Bit about Bytes: Understanding Python Bytecode - PyCon 2018
Matthew Rocklin - Democratizing Distributed Computing with Dask and JupyterHub - PyCon 2018
MetPy Mondays #166 - Getting Familiar with XArray
OceanHackWeek 2022: Deepak Cherian - Xarray
Xarray Basics | Fundamentals of Xarray That Could Be Helpful for Data Science and Analytics
Xarray - more than Pandas in multiple dimensions - Ondřej Grover [PyData Prague #8 2020]
Oceanhackweek 2018: Joe Hamman - xArray
Build Data-driven Applications Directly From Your Pandas or Xarray Pipelines | PyData Global 2021
MetPy Mondays #167 - Building with XArray from Scratch

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PyCon 2018 XArray

PyCon 2018 XArray

PyCon 2018 XArray

XArray: the power of pandas for multidimensional arrays

XArray: the power of pandas for multidimensional arrays

Processing thousands of satellite images to understand air quality in the UK - it's efficient and easy with

Breaking up arrays up into chunks for fun and science with Xarray and Dask

Breaking up arrays up into chunks for fun and science with Xarray and Dask

Andrew Hicks https://2016.

James Bennett - A Bit about Bytes: Understanding Python Bytecode - PyCon 2018

James Bennett - A Bit about Bytes: Understanding Python Bytecode - PyCon 2018

Speaker: James Bennett At some point every Python programmer sees Python bytecode files -- they're those '.pyc' files Python ...

Matthew Rocklin - Democratizing Distributed Computing with Dask and JupyterHub - PyCon 2018

Matthew Rocklin - Democratizing Distributed Computing with Dask and JupyterHub - PyCon 2018

Speaker: Matthew Rocklin We use JupyterHub,

MetPy Mondays #166 - Getting Familiar with XArray

MetPy Mondays #166 - Getting Familiar with XArray

This week we learn the terms

OceanHackWeek 2022: Deepak Cherian - Xarray

OceanHackWeek 2022: Deepak Cherian - Xarray

Deepak Cherian provides the first scheduled tutorial of OceanHackWeek 2022 on

Xarray Basics | Fundamentals of Xarray That Could Be Helpful for Data Science and Analytics

Xarray Basics | Fundamentals of Xarray That Could Be Helpful for Data Science and Analytics

In this tutorial video, we explain the fundamentals of

Xarray - more than Pandas in multiple dimensions - Ondřej Grover [PyData Prague #8 2020]

Xarray - more than Pandas in multiple dimensions - Ondřej Grover [PyData Prague #8 2020]

The presentation is available here: https://github.com/smartass101/

Oceanhackweek 2018: Joe Hamman - xArray

Oceanhackweek 2018: Joe Hamman - xArray

As a part of Oceanhackweek

Build Data-driven Applications Directly From Your Pandas or Xarray Pipelines | PyData Global 2021

Build Data-driven Applications Directly From Your Pandas or Xarray Pipelines | PyData Global 2021

Build Polished, Data-driven Applications Directly From Your Pandas or

MetPy Mondays #167 - Building with XArray from Scratch

MetPy Mondays #167 - Building with XArray from Scratch

This week we work with the fundamental

MetPy Mondays #53 - XArray Basics

MetPy Mondays #53 - XArray Basics

MetPy Docs: https://unidata.github.io/MetPy/ GitHub: https://github.com/unidata/metpy/ Python Mailing List: ...