SlideShare a Scribd company logo
1 of 1
Mathics was created and is mainly maintained by:
- Jan Poeschko (jan@poeschko.com; github: poeschko)
Additional contributions were made by:
- Angus Griffith (github: sn6uv): adaptive sampling for Plot, 3D graphics, Prime
- Chong Jiang (github: cjiang): Log2, Log10
Thanks to the authors of all projects that are used in Mathics:
- Django
- MathJax
- Prototype
- Python
- Sage
- scripaculous
- SPARK
- SymPy
- Three.js

More Related Content

What's hot

Python Data Plotting and Visualisation Extravaganza
Python Data Plotting and Visualisation ExtravaganzaPython Data Plotting and Visualisation Extravaganza
Python Data Plotting and Visualisation ExtravaganzaGuy K. Kloss
 
Introduction to plotting in Python
Introduction to plotting in Python Introduction to plotting in Python
Introduction to plotting in Python bzamecnik
 
PyLadies Seattle - Lessons in Interactive Visualizations
PyLadies Seattle - Lessons in Interactive VisualizationsPyLadies Seattle - Lessons in Interactive Visualizations
PyLadies Seattle - Lessons in Interactive VisualizationsAmanda Casari
 
Memory Debugging
Memory DebuggingMemory Debugging
Memory DebuggingAlain Leon
 
PyHEP 2019: Python Histogramming Packages
PyHEP 2019: Python Histogramming PackagesPyHEP 2019: Python Histogramming Packages
PyHEP 2019: Python Histogramming PackagesHenry Schreiner
 
深層学習とベイズ統計
深層学習とベイズ統計深層学習とベイズ統計
深層学習とベイズ統計Yuta Kashino
 
用 Bitbar Tool 寫 Script 自動擷取外幣
用 Bitbar Tool 寫 Script 自動擷取外幣用 Bitbar Tool 寫 Script 自動擷取外幣
用 Bitbar Tool 寫 Script 自動擷取外幣Win Yu
 
Full-stack go with GopherJS
Full-stack go with GopherJSFull-stack go with GopherJS
Full-stack go with GopherJSPoga Po
 
PyTorch - an ecosystem for deep learning with Soumith Chintala (Facebook AI)
PyTorch - an ecosystem for deep learning with Soumith Chintala (Facebook AI)PyTorch - an ecosystem for deep learning with Soumith Chintala (Facebook AI)
PyTorch - an ecosystem for deep learning with Soumith Chintala (Facebook AI)Databricks
 
CHEP 2019: Recent developments in histogram libraries
CHEP 2019: Recent developments in histogram librariesCHEP 2019: Recent developments in histogram libraries
CHEP 2019: Recent developments in histogram librariesHenry Schreiner
 
Zeppelin, TensorFlow, Deep Learning 맛보기
Zeppelin, TensorFlow, Deep Learning 맛보기Zeppelin, TensorFlow, Deep Learning 맛보기
Zeppelin, TensorFlow, Deep Learning 맛보기Taejun Kim
 
IRIS-HEP Retreat: Boost-Histogram Roadmap
IRIS-HEP Retreat: Boost-Histogram RoadmapIRIS-HEP Retreat: Boost-Histogram Roadmap
IRIS-HEP Retreat: Boost-Histogram RoadmapHenry Schreiner
 
La R Users Group Survey Of R Graphics
La R Users Group Survey Of R GraphicsLa R Users Group Survey Of R Graphics
La R Users Group Survey Of R Graphicsguest43ed8709
 
Beyond JSON @ dot swift 2016
Beyond JSON @ dot swift 2016Beyond JSON @ dot swift 2016
Beyond JSON @ dot swift 2016Maxim Zaks
 

What's hot (15)

Python Data Plotting and Visualisation Extravaganza
Python Data Plotting and Visualisation ExtravaganzaPython Data Plotting and Visualisation Extravaganza
Python Data Plotting and Visualisation Extravaganza
 
Introduction to plotting in Python
Introduction to plotting in Python Introduction to plotting in Python
Introduction to plotting in Python
 
PyLadies Seattle - Lessons in Interactive Visualizations
PyLadies Seattle - Lessons in Interactive VisualizationsPyLadies Seattle - Lessons in Interactive Visualizations
PyLadies Seattle - Lessons in Interactive Visualizations
 
Memory Debugging
Memory DebuggingMemory Debugging
Memory Debugging
 
Pycon2017
Pycon2017Pycon2017
Pycon2017
 
PyHEP 2019: Python Histogramming Packages
PyHEP 2019: Python Histogramming PackagesPyHEP 2019: Python Histogramming Packages
PyHEP 2019: Python Histogramming Packages
 
深層学習とベイズ統計
深層学習とベイズ統計深層学習とベイズ統計
深層学習とベイズ統計
 
用 Bitbar Tool 寫 Script 自動擷取外幣
用 Bitbar Tool 寫 Script 自動擷取外幣用 Bitbar Tool 寫 Script 自動擷取外幣
用 Bitbar Tool 寫 Script 自動擷取外幣
 
Full-stack go with GopherJS
Full-stack go with GopherJSFull-stack go with GopherJS
Full-stack go with GopherJS
 
PyTorch - an ecosystem for deep learning with Soumith Chintala (Facebook AI)
PyTorch - an ecosystem for deep learning with Soumith Chintala (Facebook AI)PyTorch - an ecosystem for deep learning with Soumith Chintala (Facebook AI)
PyTorch - an ecosystem for deep learning with Soumith Chintala (Facebook AI)
 
CHEP 2019: Recent developments in histogram libraries
CHEP 2019: Recent developments in histogram librariesCHEP 2019: Recent developments in histogram libraries
CHEP 2019: Recent developments in histogram libraries
 
Zeppelin, TensorFlow, Deep Learning 맛보기
Zeppelin, TensorFlow, Deep Learning 맛보기Zeppelin, TensorFlow, Deep Learning 맛보기
Zeppelin, TensorFlow, Deep Learning 맛보기
 
IRIS-HEP Retreat: Boost-Histogram Roadmap
IRIS-HEP Retreat: Boost-Histogram RoadmapIRIS-HEP Retreat: Boost-Histogram Roadmap
IRIS-HEP Retreat: Boost-Histogram Roadmap
 
La R Users Group Survey Of R Graphics
La R Users Group Survey Of R GraphicsLa R Users Group Survey Of R Graphics
La R Users Group Survey Of R Graphics
 
Beyond JSON @ dot swift 2016
Beyond JSON @ dot swift 2016Beyond JSON @ dot swift 2016
Beyond JSON @ dot swift 2016
 

Authors

  • 1. Mathics was created and is mainly maintained by: - Jan Poeschko (jan@poeschko.com; github: poeschko) Additional contributions were made by: - Angus Griffith (github: sn6uv): adaptive sampling for Plot, 3D graphics, Prime - Chong Jiang (github: cjiang): Log2, Log10 Thanks to the authors of all projects that are used in Mathics: - Django - MathJax - Prototype - Python - Sage - scripaculous - SPARK - SymPy - Three.js