The PyData ecosystem is leading the open source data science movement. However, many find it daunting to jump into, due to its wide array of features and capabilities. In this webinar, thought leader Andy Terrel will show you how to get started. We will look at the major data structures for data handling in Python, data ingest and transform, and finally some modeling and advanced libraries.
Following Andy’s presentation, Tim Babych (Sphere Software Engineer) will provide an example of SciPy data analysis in action. He will create a model that can predict the survival rate on the Titanic, using data such as age, ticket class, gender, and other details. He will guide the audience through the process, using SciPy, Pandas, IPython, and Scikit-learn to visualize the data and ultimately build a working model.
At the end of the webinar, you will have a foundation to further explore the PyData ecosystem.You’ll learn how to:
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Andy received his Computer Science PhD at the University of Chicago in 2010. He has held research positions at Argonne National Lab, Sandia National Lab, Institute of Computational Engineering and Sciences at The University of Texas-Austin, and the Texas Advanced Computing Center. In industry, Andy served as lead developer at Kove, Inc. during its early stages, where he helped bring a record breaking SAN disk array to market. Andy has also worked with Enthought, Inc and was part of the founding team at Continuum Analytics.
Andy is a passionate advocate for open source scientific codes. To this end, he is a board member of the NumFOCUS foundation and has been involved in the wider scientific Python community since 2006. Andy has contributed to numerous projects in the scientific stack and hopes push for data to become a first class object for scientists worldwide.
Tim is a senior software engineer at Sphere, who has been working with Python for 7 years. He has extensive experience with Django and Flask, and has presented at Ukrainian and Polish PyCons. He has served as an engineer for GetGoing, edX, GoodBed, and last year he performed data entry services in AsyncIO for DataRobot. Tim received his MS in mathematics and computer science from the National Technical University of Ukraine. He is passionate about AI, sociology, and history.