Shane-Neeley / BrightworkLinks
This workshop was given as an introduction to using python for scientific and other data intensive purposes. The examples are related to bench top laboratory data analysis. The speaker is Shane Neeley, a bioengineering masters student at Rice University and it was hosted by Brightwork CoResearch, an independent research and entrepreneurship faci…
☆40Updated 11 years ago
Alternatives and similar repositories for Brightwork
Users that are interested in Brightwork are comparing it to the libraries listed below
Sorting:
- Machine Learning Tutorial in IPython Notebooks☆133Updated 3 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆150Updated 5 years ago
- Scikit-learn tutorials for the Scipy 2013 conference☆324Updated 8 years ago
- Collection of great (and free) machine learning books☆118Updated 3 years ago
- The Hacker Within at the University of California - Berkeley☆101Updated 2 years ago
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆548Updated 3 years ago
- Python for Data Science (Seminar Course at UC Berkeley; AY 250)☆332Updated 3 years ago
- Lecture content for UW Software Engineering for Data Scientists☆102Updated 2 years ago
- Programming Exercises☆79Updated 10 years ago
- [DEPRECATED]☆55Updated 11 years ago
- Code of the IPython Minibook, 2nd edition (2015)☆347Updated 5 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆226Updated 4 years ago
- A set of IPython notebooks and learning resources for an Introduction to Programming class, focusing on Python.☆402Updated 4 years ago
- Abridged implementation of the official scikit-learn beginner tutorials☆51Updated 9 years ago
- Python Bootcamp docs and lectures (UC Berkeley)☆239Updated 9 years ago
- SciPy 2017 Pandas Tutorial☆160Updated 4 years ago
- A repository of my Coursera latex code and notes☆362Updated 10 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆318Updated 8 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆136Updated 10 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆287Updated 8 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 10 years ago
- materials for General Assembly Data Science DC course☆81Updated 10 years ago
- A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.☆315Updated 5 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 8 years ago
- Workshop: Intro to Python for Data Analysis☆72Updated 11 years ago
- Data directory for the CS109 Data Science course☆67Updated 11 years ago
- MIT edX 6.00.2x Introduction to Computational Thinking and Data Science problem sets code☆69Updated 3 years ago
- General Assembly's Data Science course in Washington, DC☆234Updated last year
- Assets for data8.org☆111Updated last year
- Translating R Data Analyses to Python☆280Updated 7 years ago