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Python for Economists - econpy.orgPython programming for economics research.
http://www.econpy.org/
Python programming for economics research.
http://www.econpy.org/
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Python for Economists - econpy.org | econpy.org Reviews
https://econpy.org
Python programming for economics research.
Python for Economists - econpy.org
http://www.econpy.org/terminal
Python for Economists - econpy.org
http://www.econpy.org/tutorials
This page contains tutorials related to the use of Python for obtaining data from the Internet. The introductory tutorials use some of the most common methods for scraping data from the Internet. Otherwise, the segmentation of the tutorials is still in flux. General Web Scraping Tutorials. Introduction to HTTP Requests in Python. Scraping Websites with BeautifulSoup. Scraping Websites with lxml.html. Read CSV file into a Pandas DataFrame. Change User Agents using the Requests Module.
Python for Economists - econpy.org
http://www.econpy.org/code
Here you'll find snippets of python code for doing various data processing tasks. Below each snippet of code is an IPython %loadpy magic function. That can be used like this:. The %loadpy magic function accepts URLs or paths to local .py python scripts and returns the contents of the script to your IPython terminal (without executing the script). For example, %loadpy is handy when you want to make a quick edit to a remote or local python script before executing it. Dir name, sub dir, *. Args): file list =.
Python for Economists - econpy.org
http://www.econpy.org/about
Having great data, and a lot of it, is a wonderful way to improve an empirical research study. Not only does having a larger and more representative sample reduce the probability that you'll have to use more risky statistical estimators, but it's also a step towards making the data your drawing inferences from a better representation of the actual world.
Python for Economists - econpy.org
http://www.econpy.org/demo-pages
Demo Pages to Practice Web Scraping. For now, the only domain name whose files are accessible from the terminal is:. I've created a few demo pages that are meant to demonstrate various situations that come up while web scraping, and I'll continue to add more pages as time goes on. One benefit of this set-up is that the code used in the tutorials will always work since the websites being scraped are not dependent on a 3rd-party web server.
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Python for Economists: April 2012
http://econpy.blogspot.com/2012_04_01_archive.html
Monday, April 2, 2012. Estimate an Econometric Model from Scraped Data in Real-Time using Python. Here's a link to a fairly lengthy tutorial I put together titled "Estimate an Econometric Model from Scraped Data in Real-Time using Python. Which is posted at another one of my websites: live.economics.io. Lastly, if you haven't been to econpy.org. In a while, check out the recently updated interface which now includes an IPython terminal right in the browser - special thanks to PythonAnywhere.
About - Python for Economists - econpy.org
http://econpy.pythonanywhere.com/about
Python Programming for Economists. On the Internet that they want to analyze for their research, but aren't sure how to collect it. Enter Python. Having great data, and a lot of it, is a wonderful way to improve an empirical research study. But what is. It's similar to the big data. Overall, having a larger sample filled with observations that control for much more detailed features not only reduces the chance that you'll have to use more. Will become an extremely important characteristic of your study.
Tutorials - Python for Economists - econpy.org
http://econpy.pythonanywhere.com/tutorials
Python Programming for Economists. This page contains tutorials related to the use of Python for obtaining data from the Internet. The introductory tutorials use some of the most common methods for scraping data from the Internet. Otherwise, the segmentation of the tutorials is still in flux. General Web Scraping Tutorials. Introduction to HTTP Requests in Python. Scraping Websites with BeautifulSoup. Scraping Websites with lxml.html. Read CSV file into a Pandas DataFrame. Economics and Web Scraping.
IPython Terminal - Python for Economists - econpy.org
http://econpy.pythonanywhere.com/terminal
Python Programming for Economists. And now for something completely different.
Links - Python for Economists - econpy.org
http://econpy.pythonanywhere.com/links
Python Programming for Economists. General Web Scraping Tutorials. Amazon Product Advertising API. Threaded Web Scraping with Queues. And now for something completely different.
Code Snippets - Python for Economists - econpy.org
http://econpy.pythonanywhere.com/code
Python Programming for Economists. This page has snippets of Python code for accomplishing various data processing tasks. Below each snippet is an IPython %loadpy magic function. Which can be used like this:. Return only the unique elements of a list while preserving the order. Of the original list. 37;loadpy http:/ econpy.pythonanywhere.com/s/uniquify.py. Remove all the HTML tags from a string. 37;loadpy http:/ econpy.pythonanywhere.com/s/striptags.py. Create a list of file names in a directory dirname.
Python for Economists: August 2011
http://econpy.blogspot.com/2011_08_01_archive.html
Sunday, August 28, 2011. Using Python for Econometrics and Linear Algebra. The following links contain Python code for various tasks in econometrics and linear algebra. They come from the owner of the blog,. As a PhD student in economics, and a Python enthusiast myself (. I am more than happy to see Python code like this being created. Cholesky decomposition and inverse of positive definite matrices. Solving an AR(p) time series model using least squares. White's test for heteroscedasticity.
Python for Economists: Estimate an Econometric Model from Scraped Data in Real-Time using Python
http://econpy.blogspot.com/2012/04/estimate-econometric-model-from-scraped.html
Monday, April 2, 2012. Estimate an Econometric Model from Scraped Data in Real-Time using Python. Here's a link to a fairly lengthy tutorial I put together titled "Estimate an Econometric Model from Scraped Data in Real-Time using Python. Which is posted at another one of my websites: live.economics.io. Lastly, if you haven't been to econpy.org. In a while, check out the recently updated interface which now includes an IPython terminal right in the browser - special thanks to PythonAnywhere.
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ECONPUBBLICA
Via Guglielmo Roentgen, 1. 20136 Milano - Italy. Tel 39.02.5836.5340. Fax 39.02.5836.5318. How to find us. Centre for Research on the Public Sector. ECONPUBBLICA is a founding member of the International Network of Tax Research (INTR) which was launched in 2005 by a group of research institutions and the OECD. The INTR aims to promote a global view of tax issues and to encourage input from developing as well as developed countries in its research projects. For current activities, please visit the webpage...
Espectro Econômico | Só mais um site WordPress.com
Só mais um site WordPress.com. 13 de agosto de 2011. Welcome to WordPress.com. After you read this, you should delete and write your own post, with a new title above. Or hit Add New. On the left (of the admin dashboard. To start a fresh post. Are some suggestions for your first post. You can find new ideas for what to blog about by reading the Daily Post. To your browser. It creates a new blog post for you about any interesting page you read on the web. Make some changes to this page. Em Olá, mundo!
EconPup
A series of charts illustrating key aspects of topical economic issues. The chart drawn from the National Balance Sheet shows total Australian debt from all sources and is a more useful reference point than Australian Sovereign Debt to ascertain the vulnerability of the Australian Economy to external shocks. This pages offers a series of link to range of customized searches from You Tube and Google. A short list of sites with data on Australian shares. Broker sites are not listed here. Selection of twitt...
Economic Puzzles
My blog about economics puzzles, inspired by "Freakonomics: A Rogue Economist Explores the Hidden Side of Everything" a book by University of Chicago economist Steven Levitt and New York Times journalist Stephen J. Dubner. Tuesday, March 25, 2014. Malaysia Airlines MH370 Incident: Why does a USD 320 Million Aircraft have cheap communications system and life saving equipments. Why do the oxygen masks that deploy during an emergency contain oxygen supply of only 15 minutes? Friday, December 16, 2011. Being...
Python for Economists
Saturday, December 14, 2013. Plot XKCD style charts from Google Ngram data using Python. Github repo you'll find two Python scripts, one of which can be used to fetch data from the Google Ngram Viewer. And the other to create XKCD. Style plots using the CSV data returned by the first script. I previously made a blog post. Script is a fully function command line interface to the Google Ngram Viewer. To learn how to use the script, check out the. File in the Github repo. Simply add the -plot. As shown in t...
Python for Economists - econpy.org
Thanks to the support of PythonAnywhere. Econpy.org is now able to offer an IPython. Terminal right in the browser! The terminal is preloaded with popular 3rd-party python modules like lxml, pandas, scikits.statsmodels, BeautifulSoup, nltk, numpy, twill, requests and more!
Python for Economists - econpy.org
Python Programming for Economists. Econpy.org is currently in the process of switching the entire site over to PythonAnywhere. As our host. Not only will the move make everything much quicker for the user, but it also comes with the second big update to econpy.org's interface and content. And now for something completely different.
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Economic Answers for the Real-World. 8226; Which industries are creating new jobs? 8226; Does education pay off? 8226; Which racial groups have been most affected by the economic downturn? 8226; Do women earn more money in California than in New York? You can find answers to these- and many more- questions, generate reports, download data and feel like an economic genius. Top 10 In-Demand Jobs in Washington State. 1 Software Developers, Applications. 2 Software Developers, Systems Software.