Alternatives and similar repositories for talks

Users that are interested in talks are comparing it to the libraries listed below

• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆156Updated 4 years ago
• kjam / data-pipelines-course
  Course materials for my data pipeline video course with O'Reilly
  ☆201Updated 7 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
• kjam / data-cleaning-101
  Data Cleaning Libraries with Python
  ☆289Updated last year
• tdpetrou / pandas_cub
  Learn how to build a data analysis library from scratch
  ☆207Updated 3 years ago
• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆85Updated 2 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 5 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• urgedata / pythondata
  repo for code published on pythondata.com
  ☆123Updated 6 years ago
• dataquestio / analytics_pipeline
  Code to build a simple analytics data pipeline with Python
  ☆102Updated 8 years ago
• flavianh / dashboards-frameworks-comparison
  ☆77Updated 7 years ago
• alanderex / pydata-pandas-workshop
  Material for my PyData Jupyter & Pandas Workshops, I'm also available for personal in-house trainings on request
  ☆65Updated 3 years ago
• davidcomfort / dash_sample_dashboard
  Build a Complex Reporting Dashboard using Dash and Plotly
  ☆218Updated 2 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• DunderData / Tutorials
  Python data science and machine learning from Ted Petrou with Dunder Data
  ☆55Updated 2 years ago
• s-heisler / pycon2017-optimizing-pandas
  Materials for PyCon 2017 presentation on optimizing Pandas code
  ☆213Updated 5 years ago
• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• amyoshino / Dash_Tutorial_Series
  Series of videos to cover important topics in Plotly Dash framework. Building an interactive app from scratch + cool tips and functionali…
  ☆127Updated 6 years ago
• pybokeh / jupyter_notebooks
  Collection of jupyter notebooks
  ☆155Updated last year
• ericmjl / minimal-flask-example
  The simplest complex example that I can think of to show main Flask app concepts.
  ☆47Updated this week
• ZaxR / pandas_multiindex_tutorial
  An in-depth introduction to Pandas' MultiIndexes and practical code snippets
  ☆57Updated 7 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 7 years ago
• bendgame / DashApp
  Wine Dash App
  ☆66Updated 5 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆169Updated 4 years ago
• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆66Updated 5 years ago
• hackalog / bus_number
  Up Your Bus Number: A Primer for Reproducible Data Science
  ☆69Updated 6 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago