Alternatives and similar repositories for tales-science-data

Users that are interested in tales-science-data are comparing it to the libraries listed below

• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 8 years ago
• tdpetrou / Book-Reviews
  ☆26Updated 7 years ago
• rhiever / python-data-visualization-course
  Course materials for teaching data visualization in Python.
  ☆171Updated 9 years ago
• JonathanReeve / workshop-text-analysis-spacy
  Materials for the workshop Advanced Text Analysis with SpaCy and Scikit-Learn, given at NYU during NYCDH Week 2017, at PyData NYC in Nov.…
  ☆82Updated 2 years ago
• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆118Updated 6 years ago
• GalvanizeDataScience / self-study-resources
  DSI Self Study Resources
  ☆18Updated 5 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 3 years ago
• joelgrus / stupid-itertools-tricks-pydata
  code for my "stupid itertools tricks" talk from pydata seattle 2015
  ☆153Updated 9 years ago
• bhargavvader / personal
  Contains Jupyter Notebooks of stuff I am working on.
  ☆197Updated 4 years ago
• SethHWeidman / ODSC_Neural_Nets_11-04-17
  Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017
  ☆32Updated 7 years ago
• stevesimmons / PyDataDC2016-PandasFromTheInside
  Tutorial session from PyData Washington DC, Fri 7 October 2016
  ☆31Updated 8 years ago
• dannguyen / python-notebooks-data-wrangling
  Python 3.x notebooks about real-world data cleaning and visualization
  ☆71Updated 9 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆120Updated 4 years ago
• trallard / ReproduciblePython
  Workshop materials for PyCon 2018 workshop on reproducible analysis in Python
  ☆111Updated 6 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆77Updated 6 years ago
• ojedatony1616 / exploratory_transformation
  Repository for exploratory data transformation & visualization talk
  ☆27Updated 8 years ago
• UWSEDS / LectureNotes
  Lecture content for UW Software Engineering for Data Scientists
  ☆101Updated last year
• uberwach / leveling-up-jupyter
  Leveling up your Jupyter notebook skills
  ☆77Updated 7 years ago
• nickhould / tidy-data-python
  Tidy Data in Python Jupyter Notebook
  ☆94Updated 2 years ago
• gjreda / pydata2014nyc
  Materials for my pandas tutorial at PyData 2014, NYC
  ☆111Updated 9 years ago
• piskvorky / data_science_python
  Source code for the "Practical Data Science in Python" tutorial
  ☆58Updated 9 years ago
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 7 years ago
• realpython / web-dev-for-data-scientists
  ☆52Updated 8 years ago
• TomAugspurger / pandas-head-to-tail
  ☆86Updated 6 years ago
• podopie / DAT18NYC
  General Assembly repo for Data Science 18
  ☆36Updated 10 years ago
• jreback / PyDataNYC2015
  PyData NYC 2015 conference
  ☆94Updated 9 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 9 years ago
• hackalog / bus_number
  Up Your Bus Number: A Primer for Reproducible Data Science
  ☆68Updated 6 years ago
• kjam / data-wrangling-pycon
  An Introduction to Data Wrangling with Python
  ☆82Updated 2 years ago