Python for Data Analytics and Big Data
We will look at an overview of the Python data analytics stack, including Numpy, Scipy, and Pandas, and learn about the common tools that data scientists use to interact with Python. We will do some statistical examples and learn about many of the visualization libraries in the Python ecosystem. Finally, there will be an overview of other packages and capabilities that enhance Python's power for geographic data, realtime data, distributed computing, and Hadoop interfaces.
Developer and Data Scientist at Continuum Analytics
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