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PyData

PyData is an educational program of NumFOCUS, a 501 (c) (3) nonprofit charity.

https://pydata.org/ 

pandas - Python Data Analysis Library

pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.

https://pandas.pydata.org/ 

pandas - Python Data Analysis Library

Getting started Installation instructions. The next steps provides the easiest and recommended way to set up your environment to use pandas. Other installation options can be found in the advanced installation page.. Download Anaconda for your ope...

https://pandas.pydata.org/getting_st... 

pandas - Python Data Analysis Library

pandas - Python Data Analysis Library

https://pandas.pydata.org/ 

python - The PyData Ecosystem - Stack Overflow

python - The PyData Ecosystem - Stack Overflow

https://stackoverflow.com/questions/... 

pandas - Python Data Analysis Library

pandas-datareader pandas-datareader is a remote data access library for pandas(PyPI:pandas-datareader). It is based on functionality that waslocated in pandas.io.data and pandas.io.wb but was split off inv0.19. See more in the pandas-datareaderdo...

https://pandas.pydata.org/community/... 

python - The PyData Ecosystem - Stack Overflow

Aug 11, 2013  · PyData is a series of local meetups and conferences, organized with help from NumFOCUS, a non-profit group that supports open source scientific software.There are more than 100 locally organized PyData meetup groups ...

https://stackoverflow.com/questions/... 

An introduction to seaborn — seaborn 0.11.1 ... - PyData

Seaborn is a library for making statistical graphics in Python. It builds on top of matplotlib and integrates closely with pandas data structures.. Seaborn helps you explore and understand your data. Its plotting functions operate on dataframes an...

https://seaborn.pydata.org/introduct... 

What’s new in each version — seaborn 0.11.1 ... - PyData

Minimally supported versions of the dependent PyData libraries have also been increased, in some cases substantially. While seaborn has tended to be very conservative about maintaining compatibility with older dependencies, this was causing increa...

https://seaborn.pydata.org/whatsnew.... 

Tag: PyData | NVIDIA Developer Blog

Tag: PyData. Data Science Mar 19, 2021. 10 Minutes to Data Science: Transitioning Between RAPIDS cuDF and CuPy Libraries. RAPIDS is about creating bridges, connections, and clean handoffs between GPU PyData libraries. Interoperability with functio...

https://developer.nvidia.com/blog/ta... 

First Impressions of GPUs and PyData | by Mike Beaumont ...

Dec 17, 2018  · This is also useful for other array libraries, like pydata/sparse and dask array, and would go a long way towards unifying operations with libraries like XArray. cuML needs features, Scikit-Learn ...

https://medium.com/rapids-ai/first-i... 

User guide and tutorial — seaborn 0.11.1 ... - PyData

Data structures accepted by seaborn. Long-form vs. wide-form data; Options for visualizing long-form data; Options for visualizing wide-form data

https://seaborn.pydata.org/tutorial.... 

Coiled Blog | Dask and the PyData Stack

Jun 14, 2020  · The PyData stack for scientific computing in Python is an interoperable collection of tools for data analysis, visualization, statistical inference, machine learning, interactive computing and more that is used acros...

https://coiled.io/blog/pydata-dask/ 

PyData Los Angeles 2019 - Presentation: Open Source is ...

PyData is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical …

https://pydata.org/la2019/schedule/p... 

Bokeh | PyData

Bokeh is an interactive visualization library that targets modern web browsers for presentation. Bokeh can help anyone who would like to quickly and easily connect powerful PyData tools to interactive plots, dashboards, and data applications.

https://pydata.org/project/bokeh/ 

seaborn: statistical data visualization — seaborn 0.11.1 ...

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics. For a brief introduction to the ideas behind the library, you can read the introduc...

https://seaborn.pydata.org/ 

PyData Global 2020

He maintains several PyData libraries, but today focuses mostly on Dask a library for scalable computing. Matthew worked for Anaconda Inc for several years, then built out the Dask team at NVIDIA for RAPIDS, and most recently founded Coiled to imp...

https://global.pydata.org/talks/331 

pandas documentation — pandas 1.2.4 documentation

Apr 12, 2021  · pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

https://pandas.pydata.org/docs/ 

Numba: A High Performance Python Compiler

Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python i...

http://numba.pydata.org/ 

The Bokeh Visualization Library

Dask is a tool for scaling out PyData projects like NumPy, Pandas, Scikit-Learn, and RAPIDS. It is supported by Nvidia, Quansight, and Anaconda. The Dask Dashboard is a diagnostic tool that helps you monitor and debug live cluster performance.

https://bokeh.org/ 

User Guide — pandas 1.2.4 documentation

User Guide¶. The User Guide covers all of pandas by topic area. Each of the subsections introduces a topic (such as “working with missing data”), and discusses how pandas approaches the problem, with many examples throughout.

https://pandas.pydata.org/docs/user_... 

GitHub - ulikoehler/UliPlot: After UliEngineering and ...

After UliEngineering and UliAcceleration, this library in the Uli series provides convient functions for plotting using matplotlib and other pydata libraries. This library is currently in its Alpha stage and the API is not considered stable. How t...

https://github.com/ulikoehler/UliPlo... 

MetaSnake - Setting up a Python Data Science Environment

Mar 06, 2020  · An environment is a sandboxed installation of Python libraries and utilities. The purpose of an environment is to allow per project library dependencies. For example, I consult with different clients. If I have multi...

https://www.metasnake.com/blog/pydat... 

Example gallery — seaborn 0.11.1 documentation - PyData

Example gallery¶. lmplot. scatterplot

https://seaborn.pydata.org/examples/... 

pandas (software) - Wikipedia

pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released un...

https://en.wikipedia.org/wiki/Pandas... 

PyData Festival Amsterdam

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.

https://amsterdam.pydata.org/ 

PyData Eindhoven

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.

https://eindhoven.pydata.org/ 

Roadmap — sparse 0.12.0+0.g3297628.dirty ... - PyData

The most important formats are, of course, CSR and CSC, because they allow zero-copy interaction with a number of libraries including MKL, LAPACK and others. This will allow PyData/Sparse to quickly reach the functionality of scipy.sparse, acceler...

https://sparse.pydata.org/en/stable/... 

Wendelin: Out-of-Core Pydata - Nexedi

The wendelin.core library and the Wendelin platform provide two practical solutions to scale up pydata libraries and scripts beyond the limites of RAM. Wendelin thus eliminates the need to redevelop and port pydata scripts to another language and ...

http://www.nexedi.com/service/nexedi... 

PyData Global 2020

Saturn Cloud is a managed data science and machine learning platform that automates DevOps and ML infrastructure engineering so your team can focus on analytics. Utilize Jupyter and Dask to scale Python for big data using the libraries you know an...

https://global.pydata.org/pages/spon... 

PyData Global 2020

Neo4j: Getting up and running with Graph Data Science Library (Sponsor Talk Room #2) The Big Benefits of Small Data: What cyber security can teach us about COVID-19 testing When Data Science goes Enterprise: Inside views of Blue Yonder (Sponsor Ta...

https://global.pydata.org/pages/sche... 

PyData New York City 2017 - Presentation: Reverse image ...

PyData is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical …

https://pydata.org/nyc2017/schedule/... 

PyData Delhi 2019 - Presentation: Building robust AI ...

PyData is dedicated to providing a harassment-free conference experience for everyone, regardless of gender, sexual orientation, gender identity and expression, disability, physical …

https://pydata.org/delhi2019/schedul... 

The Blaze Ecosystem - PyData

Blaze is a Python library and interface to query data on different storage systems. Blaze works by translating a subset of modified NumPy and Pandas-like syntax to databases and other computing systems. Blaze gives Python users a familiar interfac...

https://blaze.pydata.org/ 

Installing Python for Data Science - GitHub Pages

This is a community-maintained set of instructions for installing the Python Data Science stack. If you'll be using the programming language Python and its related libraries for loading data, exploring what it contains, visualizing that data, and ...

https://drivendata.github.io/pydata-... 

PyData Prague | pydata.cz

PyData Prague is a community of data scientists, engineers, analysts, and various other developers in the area of scientific computing and data analysis. The term PyData refers to an educational program of NumFOCUS , an american non-profit helping...

https://pydata.cz/ 

pydata-sphinx-theme 0.3.1 on PyPI - Libraries.io

Mar 19, 2020  · Bootstrap-based Sphinx theme from the PyData community - 0.3.1 - a CSS package on PyPI - Libraries.io

https://libraries.io/pypi/pydata-sph... 

pydata-sphinx-theme · PyPI

Apr 26, 2021  · Install the pydata-sphinx-theme in your doc build environment: pip install pydata-sphinx-theme # or conda install pydata-sphinx-theme --channel conda-forge Then, in the conf.py of your sphinx docs, you update the htm...

https://pypi.org/project/pydata-sphi... 

Sparse Matrices · Matt Eding

A sparse matrix is a matrix that has a value of 0 for most elements.If the ratio of Number of Non-Zero (NNZ) elements to the size is less than 0.5, the matrix is sparse.While this is the mathematical definition, I will be using the term sparse for...

https://matteding.github.io/2019/04/... 

GitHub - pydata/pydata-google-auth: A package providing ...

pydata-google-auth. pydata-google-auth is a package providing helpers for authenticating to Google APIs.. Installation Install latest release version via conda

https://github.com/pydata/pydata-goo... 

pydata-google-auth · PyPI

Apr 21, 2021  · pydata-google-auth is a package providing helpers for authenticating to Google APIs. Installation. Install latest release version via conda ... # Use the credentials in other libraries, such as the Google BigQuery # ...

https://pypi.org/project/pydata-goog... 

pydata-google-auth 1.1.0 on PyPI - Libraries.io

Oct 23, 2018  · pydata-google-auth is a package providing helpers for authenticating to Google APIs.

https://libraries.io/pypi/pydata-goo... 

GitHub - wrobstory/pydataseattle2015: PyData Seattle 2015 ...

Jul 26, 2015  · PyData Seattle 2015: Python Data Bikeshed. This repo contains the slides, data, and Jupyter Notebook for the PyData Seattle 2015 talk Python Data Bikeshed. The goal of the talk is to help answer the following questio...

https://github.com/wrobstory/pydatas... 

PyData Global 2020

What's new in pandas? Talk Go to NumFOCUS academy page. Pandas finally reached a 1.0 release in early 2020. But, there is still a lot of development activity going on.

https://global.pydata.org/talks/310 

GitHub - pydata/pydata-cookbook: PyData Cookbook Project

Apr 26, 2018  · Contribute to pydata/pydata-cookbook development by creating an account on GitHub. ... 20 pages describing an example of the power of each library. While we have reached out to the projects about putting each submiss...

https://github.com/pydata/pydata-coo... 

PyData Global 2020

Snap ML is a library for machine learning training and inference offering a familiar python scikit-learn API. With Snap ML one can typically train ML models 10 times faster than with scikit-learn on CPU and/or GPU, and achieve similar speed-up in ...

https://global.pydata.org/talks/397 

Installation — llvmlite 0.37.0dev0-23-g990a0d4-dirty ...

Installation¶. The Numba/llvmlite stack consists of the following major components: Numba is the compiler package, this depends on llvmlite.. llvmlite is a lightweight binding package to the LLVM APIs, it depends on LLVM.. LLVM is the JIT com...

http://llvmlite.pydata.org/en/latest... 

Tutorial: Advanced matplotlib, from the library's author ...

In this video tutorial from the 2012 PyData Workshop, John Hunter, author of matplotlib is going to give you some advanced insight into the plotting library....

https://www.youtube.com/watch?v=DNRJ... 

Dask: Scalable analytics in Python

Library for reading and manipulating meteorological remote sensing data and writing it to various image and data file formats. Streamz. A package to help build pipelines to manage continuous streams of data. Scikit-allel. Provides utilities for ex...

https://dask.org/ 

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