Alternatives and similar repositories for talk-vaex-pandas-summit-2019

Users that are interested in talk-vaex-pandas-summit-2019 are comparing it to the libraries listed below

• vaexio / vaex-talks
  Talks about vaex
  ☆36Updated 2 years ago
• jseabold / pandas-selectable
  A `select` accessor for easier subsetting of pandas DataFrames and Series
  ☆34Updated 2 years ago
• dhaitz / machine-learning-interactive-visualization
  Interactive visualization of machine learning model evaluation metrics
  ☆63Updated 6 years ago
• facultyai / ipydataclean
  Interactive cleaning for Pandas DataFrames
  ☆16Updated 5 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• jsignell / pydata_dc_2018
  Materials for PyViz talk at PyDataDC 2018
  ☆25Updated 6 years ago
• fonnesbeck / PyMC3_EUSS
  Course in Probabilistic Programming in Python for the 2018 EU Summer School
  ☆23Updated 7 years ago
• FlorianWilhelm / polars_vs_pandas
  Comparing Polars to Pandas and a small introduction
  ☆44Updated 4 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• lopusz / pydata-berlin-2018
  ☆15Updated 7 years ago
• facultyai / lens
  Summarise and explore Pandas DataFrames
  ☆98Updated 5 years ago
• amyoshino / SONYC-Dash-App
  Interactive dashboard that show a decision support system to help DYCD/DOE’s award RFPs for the 2015 SONYC expansion.
  ☆38Updated 3 years ago
• dexplo / dexplo
  Data exploration library with a pandas-like API
  ☆74Updated 5 years ago
• lesteve / euroscipy-2019-scikit-learn-tutorial
  ☆28Updated 5 years ago
• BlazingDB / Welcome_to_BlazingSQL_Notebooks
  RAPIDS data science. No setup required.
  ☆21Updated 4 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 4 years ago
• Quansight / scipy-2019-rapids-tutorial
  Materials for the SciPy 2019 RAPIDS tutorial
  ☆22Updated 6 years ago
• edge-ai-vision / dlcvtf2
  Deep Learning for Computer Vision with TensorFlow 2.0
  ☆19Updated 5 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• saturncloud / workshop-dask-pytorch
  Introduction to Dask for PyTorch Workflows
  ☆13Updated 4 years ago
• peopledoc / mlvtools
  Public repository for versioning machine learning data
  ☆42Updated 3 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• binder-examples / jupyter-rise
  Auto-launching the RISE plugin for Binder presentations.
  ☆74Updated 5 years ago
• deniederhut / Slides-SciPyConf-2018
  A repository for public storage of slides given at the 17th Python in Science Conferences (2018)
  ☆134Updated 6 years ago
• QuantStack / quantstack-talks
  Slides for quantstack talks
  ☆80Updated 2 years ago
• dhaitz / matplotlib-style-configurator
  Matplotlib style configurator, built with Streamlit
  ☆29Updated 5 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆27Updated 5 years ago