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introduction to economic modeling and data science quantecon datascience on this page introduction python fundamentals scientific computing working with data data science tools applications powered by jupyter book back to top quantecon datascience introduction to economic modeling and data science chase coleman spencer lyon and jesse perla introduction to economic modeling and data science this website presents a series of lectures on programming data science and economics the emphasis of these materials is not just the programming and statistics necessary to analyze data but also on interpreting the results through the lens of economics this work was supported in part by the center for innovative data in economics research cider at the vancouver school of economics ubc funded by the canada excellence research chair grant to get an idea of what one can do after taking this course please take a look at previous student projects chase coleman spencer lyon jesse perla more contributors news quantecon is moving to the jupyter book build system for all of its projects we are a founding member of the executable books project an international collaboration to build open source tools that facilitate publishing using the jupyter ecosystem please send feedback to contact quantecon org introduction course description software installation python fundamentals basic python programming scientific computing numerical and scientific methods working with data the data in data science data science tools putting everything together applications applying our skills to real economic data creative commons license this work is licensed under a creative commons attribution sharealike 4 0 international a theme by quantecon contents introduction introduction course description getting started cloud setup local installation troubleshooting python fundamentals python fundamentals basics collections control flow functions scientific computing scientific computing introduction to numpy plotting applied linear algebra randomness optimization pandas dataframes and series in pandas introduction basic functionality the index storage formats cleaning data reshape merge groupby time series data science tools data science tools intermediate plotting mapping in python data visualization rules and guidelines regression classification applications applications machine learning in economics social and economic networks case study recidivism working with text heterogeneous effects quantecon lecture pdf book pdf notebook launcher choose public or private cloud service for launch button select a server public colab private launch notebook