data-science-ipython-notebooks by donnemartin

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

created at Jan. 23, 2015, 7:38 p.m.

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fecon235 by rsvp

Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics

created at Nov. 9, 2014, 4:49 a.m.

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pyeconomics by davidrpugh

Computational economics in Python

created at Dec. 14, 2012, 3:14 p.m.

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quantecon_nyu_2016 by jstac

Quantitative Economics

created at Dec. 15, 2015, 10:30 a.m.

38 +0

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macro_puzzles by gboehl

Collection of puzzles in macroeconomics

created at March 20, 2019, 6:01 p.m.

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econpizza by gboehl

Solve nonlinear heterogeneous agent models

created at June 4, 2021, 1:34 p.m.

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pydsge by gboehl

A package to simulate, filter, and estimate DSGE models with occasionally binding constraints

created at Sept. 13, 2018, 11:43 a.m.

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economics-book by philschatz

Economics Textbook (Openstax)

created at July 12, 2014, 5:37 p.m.

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zice-2014 by davidrpugh

Course materials for Zurich Initiative for Computational Economics (ZICE) 2014

created at Nov. 29, 2013, 5:29 p.m.

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