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KBI Biopharma
- Austin, TX, USA
Stars
The heart of CADET. A modular, fast, and accurate modeling and simulation framework for biotechnology processes.
The fundamental package for scientific computing with Python.
KBI Biopharma's fork of CADET2 to support Reveal-Chromatography application
High-level plotting tools, translators and GUI application components
Components and utilities to build scientific applications
Data Apps & Dashboards for Python. No JavaScript Required.
Reactive background processing for TraitsUI applications
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Cookiecutter package for basic Enthought TraitsUI application
Universal Command Line Interface for Amazon Web Services
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Python Data Science Handbook: full text in Jupyter Notebooks
Materials for my scikit-learn tutorial
The interactive graphing library for Python ✨ This project now includes Plotly Express!
Data and code behind the articles and graphics at FiveThirtyEight
Module for supporting writing in a single source file a python module and a corresponding cython module. Contrary to cython pure python mode there are no restrictions on which cython code can be used.
Pandas tutorial for SciPy2015 and SciPy2016 conference
Exploratory repository for time series analysis for climate research
jonathanrocher / pandas
Forked from pandas-dev/pandasFlexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Python/ETS little pieces of code for learning purposes
Plot on map projections (with coastlines and political boundaries) using matplotlib
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
Prototyping numpy arrays with named axes for data management.