Peter Wang, CEO and Co-Founder of Anaconda, explains the series of happy accidents that have led to organic adoption of Python as the number one language among developers in data science and machine learning in this episode of Code Together. He and David Liu, an AI Solutions Engineer at Intel, talk about the latest advancements in hardware and software and how to make them more accessible to developers, as well as how to bridge the multiple layers of abstraction. They also explore collaboration on building a low-power, high-performance data science stack, democratization of data literacy, and the future of Python in this action-packed discussion between two data science experts.

To learn more:
AI Analytics Toolkit
Intel Distribution for Python
Intel Scalable Dataframe Compiler
Anaconda

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Tags: AI, Anaconda, artificial intelligence, Big Data, Conda, cross-architecture, data analyst, data analytics, data literacy, data parallelism, Data Science, data scientist, David Liu, DPC++, heterogeneous computing, machine learning, Numba, numerical, NumPy, oneAPI, Peter Wang, Programming Languages, PyData, Python, scientific computing, SciPy, software programming
 
Posted in: Artificial Intelligence, Audio Podcast, Code Together, Intel