Python is the preferred language for many fields within the scientific community. This trend is also expanding to businesses that invest in analytics resources. Fundamentals in Data Analytics in Python LiveLessons provides a coherent, narrative tutorial that strikes a balance between the "how" as well as the "why" of Python data analytics. This video starts with a brief primer on Python and then moves on to discuss open-source Python tools that can be used to solve everyday engineering and scientific programming problems.
For additional information and commentary about this LiveLesson, visit wakari.io/training
About the Authors
Peter Wang is the co-founder and president at Continuum Analytics. Peter holds a B.A. Peter holds a B.A. in Physics from Cornell University. He has been using Python to develop applications professionally since 2001. Peter spent seven years working at Enthought, designing and developing applications for a variety companies, including oil companies, investment bankers, high frequency trading firms, and oil companies. Peter was appointed Director of Technical Architecture in 2007 and served as client liaison for high-profile projects. Chaco, an open-source Python-based toolkit that allows interactive data visualization, was also developed by Peter. Peter's roles at Continuum Analytics are product design and development as well as software management and training.
Aron Ahmadia works as a research scientist for Continuum Analytics. Aron has a Ph.D. from Columbia University in Applied Mathematics and has been using Python for technical computing since 2003. Aron is the founder of PyClaw, a Python-based open-source toolkit for modeling wave propagation on a large scale. His software is used in industry, academia, and government. It runs on workstations and the cloud as well as 65,536-core supercomputers. Aron has extensive experience in teaching Python to academic, government, and industrial users. He has also taught it as part the Software Carpentry curriculum across four continents.
