bmtgoncalves / DataVisualizationLinks
☆18Updated 7 years ago
Alternatives and similar repositories for DataVisualization
Users that are interested in DataVisualization are comparing it to the libraries listed below
Sorting:
- Data Cleaning Libraries with Python☆288Updated 2 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆116Updated 4 years ago
- A short tutorial for data scientists on how to write tests for code + data.☆121Updated 5 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆169Updated 5 years ago
- ND CSE 40647: Data Mining☆16Updated 10 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 8 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆226Updated 4 years ago
- Notebooks for the Altair tutorial☆364Updated 5 years ago
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 7 years ago
- The statistics short course is both a resource and survey of the areas of probability and statistics that are foundational for the data s…☆42Updated 5 years ago
- Using Project Jupyter for data science.☆258Updated 4 years ago
- Course materials for my data pipeline video course with O'Reilly☆200Updated 8 years ago
- "Network/Graph Analysis in Python" repository of 3 hours training session held at ODSC East 2018 and JupyterCon 2018.☆36Updated 7 years ago
- Materials for the pandas tutorial at PyData Chicago 2016☆56Updated 5 years ago
- Parallel computing in Python tutorial materials☆309Updated 6 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆357Updated 5 years ago
- Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks☆262Updated last year
- Data Science in 30 Minutes☆84Updated 9 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆39Updated 3 years ago
- ☆317Updated 4 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆160Updated 5 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆150Updated 5 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆136Updated 10 years ago
- Lecture content for UW Software Engineering for Data Scientists☆102Updated 2 years ago
- Example Python DS project☆71Updated 7 years ago
- Data Science in 30 Minutes #5: Spark☆19Updated 8 years ago
- The ultimate reference guide to data wrangling with Python and R☆243Updated 3 years ago
- ☆15Updated 3 years ago
- Materials for PyCon 2017 presentation on optimizing Pandas code☆213Updated 6 years ago