Alternatives and similar repositories for ipython-notebooks

Users that are interested in ipython-notebooks are comparing it to the libraries listed below

• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• tdpetrou / Advent-of-Code-Pandas
  ☆22Updated 2 years ago
• StrikingLoo / dask-dataframe-benchmarking
  A Jupyter Notebook I made to try out dask's Dataframes
  ☆27Updated 7 years ago
• coiled / talkpython-getting-started-with-dask
  Material for Talk Python Training course on Getting Started with Dask.
  ☆29Updated 2 years ago
• hugobowne / machine_learning_techniques
  In which I implement some applications of machine learning techniques.
  ☆31Updated 9 years ago
• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆118Updated 7 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 5 years ago
• facultyai / lens
  Summarise and explore Pandas DataFrames
  ☆98Updated 5 years ago
• tdhopper / pythonplot.com
  📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…
  ☆109Updated 4 years ago
• d6t / d6t-python
  Accelerate data science
  ☆116Updated 4 years ago
• parulnith / An-Overview-of-Python-Datatable-package
  Python library for efficient multi-threaded data processing, with the support for out-of-memory datasets.
  ☆27Updated 6 years ago
• paypal / PPExtensions
  Set of iPython and Jupyter extensions to improve user experience
  ☆50Updated 5 years ago
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆102Updated 6 years ago
• tdpetrou / pandas_cub
  Learn how to build a data analysis library from scratch
  ☆207Updated 3 years ago
• Atreya22 / luigi_rosmann_sales
  Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle
  ☆33Updated 9 years ago
• amueller / ml-workshop-short
  Two hour interactive machine learning workshop
  ☆22Updated 5 years ago
• AnalyticsInsightsNinja / Python_TidyData
  How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.
  ☆36Updated 6 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆36Updated 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
• sosuneko / Nuance
  Visualization ideas for data science
  ☆20Updated 7 years ago
• altair-viz / altair_notebooks
  Tutorial and Examples Jupyter Notebooks for Altair
  ☆229Updated 4 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆136Updated 5 years ago
• topspinj / pydata-workshop
  "Building a Recommender System from Scratch" Workshop Material for PyDataDC 2018
  ☆24Updated 6 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 5 years ago
• d6t / d6tjoin
  Fuzzy joins for python pandas - easily join different datasets
  ☆59Updated 5 years ago
• GibbsConsulting / jupyter-plotly-dash
  Jupyter notebook wrapper for plotly dash applications
  ☆81Updated 3 years ago