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Radovan Kavicky - Data Science & Data Visualization in Python

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Published on Feb 8, 2018

Abstract
In my talk I will primarily focus on answering/offer the answer to these questions: • Why we need data science and why more and more people should be really interested in analyzing data and data visualization? (motivation) • What is data science and how to start doing it in Python? (introduction of procedures, tools, most popular IDE-s for Python, etc.) • What tools for data analysis and data visualization Python offers? (in each stage of analysis the best libraries will be shown for the specific purpose; as for data visualization we will focus particularly on Bokeh, Seaborn, Plotly and use of Jupyter Notebook and Plotly) • How to "unlock" the insight hidden in data through Python and how to use it to transform not only public administration or business, but ultimately the transformation of the whole society and economy towards the insight & knowledge based? (potential of data science) • Open Data, Open Government Partnership, Open Public Administration & all the advantages of Open Data Science & Python. Data-Driven Approach. Everywhere. Now. (the end of talk +vision)


www.pydata.org

PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.

PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.

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