Alternatives and similar repositories for rpt2csv.py

Users that are interested in rpt2csv.py are comparing it to the libraries listed below

• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• bhargavvader / personal
  Contains Jupyter Notebooks of stuff I am working on.
  ☆197Updated 5 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• mattilyra / pydataberlin-2017
  Repo for my talk at the PyData Berlin 2017 conference
  ☆65Updated 8 years ago
• altair-viz / altair-tutorial
  Notebooks for the Altair tutorial
  ☆364Updated 5 years ago
• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆164Updated 5 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆144Updated 3 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 7 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆160Updated 5 years ago
• SohierDane / BigQuery_Helper
  Helper class to simplify common read-only BigQuery tasks.
  ☆110Updated 3 months ago
• glemaitre / scikit-learn-workshop-2019
  ☆13Updated 5 years ago
• alteryx / predict-loan-repayment
  Predict whether a loan will be repaid using automated feature engineering.
  ☆64Updated 2 years ago
• nicolasfauchereau / Auckland_Cycling
  An analysis of cycling counts in Auckland in relation to the weather
  ☆89Updated 2 years ago
• tdpetrou / Minimally-Sufficient-Pandas
  There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
  ☆90Updated 3 years ago
• alichtner / nordstrom_flask
  Flask for data science
  ☆29Updated 8 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 7 years ago
• mchrestkha / machine_learning_examples
  ☆11Updated last year
• dataandcaffeine / pydata-seattle-2017
  Materials for DataScience.com LTV and Neural Nets Talks at PyData Seattle
  ☆38Updated 8 years ago
• datacamp / datacamp_facebook_live_dataframed
  DataCamp Facebook Live Code Along Session 4: Learn techniques that guests on the DataFramed podcast say are their favourite. Enjoy!
  ☆24Updated 7 years ago
• woobe / h2o_tutorials
  Slides and code examples for H2O tutorials at various events
  ☆56Updated 8 years ago
• j-planet / machine-learning-big-loop
  a big loop that runs through all sklearn supervised models, as well as hyperparameter-selection via cross-validation
  ☆36Updated 8 years ago
• natematias / research_in_python
  This repository includes all the data analyses I carry out for my general exams reading, Spring 2015
  ☆64Updated 10 years ago
• derekgreene / topic-model-tutorial
  Tutorial on topic models in Python with scikit-learn
  ☆157Updated 2 years ago
• springcoil / probabilisticprogrammingprimer
  ☆90Updated 5 years ago
• pwharrison / modern-nlp-in-python
  ☆373Updated 7 years ago
• drivendata / data-science-is-software
  ☆317Updated 4 years ago
• j-bennet / talks
  Code snippets to use in talks
  ☆20Updated 2 years ago
• datarobot-community / examples-for-data-scientists
  ☆63Updated last year
• mtpa / mds
  Marketing Data Science
  ☆59Updated 10 years ago