Topic: pydata Goto Github
Some thing interesting about pydata
Some thing interesting about pydata
pydata,Covalent tutorial notebooks and slides for PyData 2023, NYC
Organization: agnostiqhq
Home Page: https://docs.covalent.xyz/docs/
pydata,An example of how the LIME algorithm can be used to provide real-world insight into the decision processes of a 'black-box' machine learning algorithm - in this case a Radom Forest regressor.
User: alexioannides
pydata,Molar is a database management to make it easy to store experiment whether computational or not
Organization: aspuru-guzik-group
Home Page: https://molar.readthedocs.io
pydata,Material for working alongside my workshop session at PyData Berlin 2018
User: bweigel
Home Page: https://pydata.org/berlin2018/schedule/presentation/14/
pydata,PyData Global Workshop: Jupyter Notebooks in VS Code
User: crazy4pi314
Home Page: https://aka.ms/pydataglobal
pydata,Pydata 2017 workshop: build a clickbait detector with python
Organization: cytora
pydata,Histograms with task scheduling.
Organization: dask-contrib
Home Page: https://dask-histogram.readthedocs.io
pydata,A distributed task scheduler for Dask
Organization: dask
Home Page: https://distributed.dask.org
pydata,Koalas: pandas API on Apache Spark
Organization: databricks
pydata,PyData, The Complete Works of
Organization: datatau
pydata,Social network analysis code examples for PyCon 2019 talk
User: dimgold
Home Page: https://www.youtube.com/watch?v=px7ff2_Jeqw
pydata,All the documents for PyDataBratislava
Organization: gapdata
pydata,Slides and notebooks for my tutorial at PyData London 2018
User: gcampanella
pydata,PyGMT Workshop at FOSS4G Oceania 2019, Wellington, New Zealand
Organization: genericmappingtools
pydata,Python client for OmniSci GPU-accelerated SQL engine and analytics platform
Organization: heavyai
Home Page: https://pymapd.readthedocs.io/en/latest/
pydata,Notebooks for the Seattle PyData 2017 talk on Scattertext
User: jasonkessler
pydata,A consistent table management library in python
Organization: jdasoftwaregroup
Home Page: https://kartothek.readthedocs.io/en/stable
pydata,@matthewbrems and I presented "Recreating, Understanding, and Visualizing FiveThirtyEight's Elections Forecast" at PyData DC 2018
User: josephofiowa
pydata,A `select` accessor for easier subsetting of pandas DataFrames and Series
User: jseabold
pydata,construct a network graph to explore and visualize how people connect in an organisation
User: lucasdurand
Home Page: http://lucasdurand.xyz/network-graph-tutorial/
pydata,WORK UNDER RESTRUCTURING
User: martinapugliese
pydata,Repo for my talk at the PyData Berlin 2017 conference
User: mattilyra
pydata,Extract data from a wide range of Internet sources into a pandas DataFrame.
Organization: pydata
Home Page: https://pydata.github.io/pandas-datareader/stable/index.html
pydata,A clean, three-column Sphinx theme with Bootstrap for the PyData community
Organization: pydata
Home Page: https://pydata-sphinx-theme.readthedocs.io
pydata,Speaker slides from monthly meetups and conference
Organization: pydataberlin
pydata,Effortless REST W/ FLask
Organization: pydatacharlotte
pydata,Repository with free and open-source material related to talks of meetups at PyData Cyprus
Organization: pydatacyprus
Home Page: https://www.meetup.com/PyData-Cyprus/
pydata,PyData Korea 곡μ ννμ΄μ§μ λλ€. (μ€λΉμ€)
Organization: pydatakr
Home Page: http://pydata.kr/
pydata,Material for a beginners workshop in data analytics with Python
Organization: pydatalondon
pydata,Clean APIs for data cleaning. Python implementation of R package Janitor
Organization: pyjanitor-devs
Home Page: https://pyjanitor-devs.github.io/pyjanitor
pydata,Graph algorithms written in GraphBLAS
Organization: python-graphblas
pydata,Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
Organization: python-graphblas
Home Page: https://python-graphblas.readthedocs.io/en/stable/
pydata,Deployment of PyData Parallel Tutorial on Kubernetes
User: quasiben
pydata,cuDF - GPU DataFrame Library
Organization: rapidsai
Home Page: https://docs.rapids.ai/api/cudf/stable/
pydata,Machine learning with scikit-learn tutorial at PyData Chicago 2016
User: rasbt
pydata,Implementation of Neural Image Captioning model using Keras with Theano backend
User: sachin-kmr
pydata,Scalable genetics toolkit
Organization: sgkit-dev
Home Page: https://sgkit-dev.github.io/sgkit
pydata,Scrapy Project Sample for Baseball(NPB)
User: shinichi-nakagawa
pydata,Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
Organization: sktime
Home Page: https://github.com/alan-turing-institute/sktime
pydata,Introduction to sktime at the PyData Global 2021
Organization: sktime
Home Page: https://www.sktime.org
pydata,Accompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)
User: stanleyjzheng
Home Page: https://youtu.be/c8uWUOSGYUI
pydata,Resources for Advancing into Analytics: From Excel to R and Python by George Mount (O'Reilly Media, 2021)
Organization: stringfestdata
Home Page: https://stringfestanalytics.com/book
pydata,STUMPY is a powerful and scalable Python library for modern time series analysis
Organization: tdameritrade
Home Page: https://stumpy.readthedocs.io/en/latest/
pydata,vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distributed under a BSD-3-Clause license.
Organization: winvector
Home Page: https://winvector.github.io/pyvtreat/
pydata,This is the code and presentation for my PyData2017 talk "Reverse Image Search Using Out-of-the-box Machine Learning Libraries
User: yinleon
Home Page: https://pydata.org/nyc2017/schedule/presentation/89/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
π Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. πππ
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google β€οΈ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.