Underscore

Sex, drugs and money-- all of the ingredients that make up a strip club in New York City. Samantha, a hostess at one of the most exclusive strip clubs in Manhattan, takes you on a tour inside the private VIP rooms with her Fortune 500 clientele.

Includes special sessions.

Includes Special sessions.

Learn how to turn raw data into rich, interactive web visualizations with the powerful combination of Python and JavaScript. With this hands-on guide, author Kyran Dale teaches you how build a basic dataviz toolchain with best-of-breed Python and JavaScript libraries—including Scrapy, Matplotlib, Pandas, Flask, and D3—for crafting engaging, browser-based visualizations. As a working example, throughout the book Dale walks you through transforming Wikipedia’s table-based list of Nobel Prize winners into an interactive visualization. You’ll examine steps along the entire toolchain, from scraping, cleaning, exploring, and delivering data to building the visualization with JavaScript’s D3 library. If you’re ready to create your own web-based data visualizations—and know either Python or JavaScript— this is the book for you. Learn how to manipulate data with Python Understand the commonalities between Python and JavaScript Extract information from websites by using Python’s web-scraping tools, BeautifulSoup and Scrapy Clean and explore data with Python’s Pandas, Matplotlib, and Numpy libraries Serve data and create RESTful web APIs with Python’s Flask framework Create engaging, interactive web visualizations with JavaScript’s D3 library

This is a print on demand edition of a hard to find publication. Discusses the continuing challenges the U.S. faces in implementing U.S. sanctions against Iran: (1) deterring the illegal trans-shipment of U.S. goods to Iran; (2) restricting foreign investment in Iran¿s energy sector; and (3) assessing the overall effectiveness of U.S. sanctions. The U.S. has imposed multiple sanctions against Iran to deter it from developing its nuclear program, supporting terrorism, and abusing human rights. The U.S. has banned most U.S. trade and investment with Iran and prohibited firms from knowingly trans-shipping U.S. goods to Iran through other nations. The U.S. has also acted to limit Iran¿s ability to explore for, extract, refine, or transport its petroleum resources. Maps and table.

Ex-Im's Business Plan concluded that the exposure limits in the Reauthorization Act were appropriate, but GAO’s May 2013 report found weaknesses in the methodology Ex-Im used to justify that conclusion. The Reauthorization Act increased the Ex-Im exposure limit to $120 billion in 2012, with provisions for additional increases to $130 billion in 2013 and $140 billion in 2014. Ex-Im forecast that its year-end exposure would be $120.2 billion in 2013 and $134.9 billion in 2014, below the congressionally determined limits. However, the buffer between the exposure limit and Ex-Im's exposure forecast for 2013 and 2014 is small in comparison with recent historical experience. GAO’s March report found that Ex-Im has been developing a more comprehensive risk-management framework, but could take additional steps to improve this process. For example, Ex-Im has started addressing recommendations by its Inspector General (IG) about portfolio stress testing, thresholds for managing portfolio concentrations, and risk governance. GAO’s review indicated that the IG’s recommendations represent promising techniques that merit continued attention. In addition, GAO concluded that reporting stress testing scenarios and their results would aid congressional oversight and be consistent with internal control standards for effective external communication. However, Ex-Im could further improve its risk management, including its risk modeling. Ex-Im calculates credit subsidy costs and loss reserves and allowances with a loss estimation model that uses historical data and takes credit, political, and other risks into account. Consistent with industry practices, Ex-Im added factors to the model in 2012 to adjust for circumstances that may cause estimated credit losses to differ from historical experience. Ex-Im also could improve its analysis of the financial performance of its portfolio. As of December 2012, Ex-Im reported an overall default rate of less than 1 percent. Ex-Im’s default rate declined steadily from about 1.6 percent as of September 30, 2006, to just under 0.3 percent as of September 30, 2012, before edging up slightly by the end of the calendar year. However, this downward trend should be viewed with caution because Ex-Im’s portfolio contains a large volume of recent transactions that have not reached their peak default periods. Moreover, Ex-Im has not maintained data needed to compare the performance of newer books of business with more seasoned books at comparable points in time, a type of analysis recommended by federal banking regulators. Why GAO Did This Study: This testimony discusses GAO's recent work on the U.S. Export-Import Bank (Ex-Im). Ex-Im serves as the official export credit agency of the United States and helps U.S. firms export goods and services by providing a range of financial products, including direct loans, loan guarantees, and insurance. Ex-Im's business volume has grown dramatically in recent years. From 2008 through 2012, Ex-Im's exposure--that is, its total outstanding financial commitments--rose from $58.5 billion to $106.6 billion. Factors associated with this growth include the reduced availability of private-sector financing following the 2007-2009 financial crisis. The rapid increase in business has challenged Ex-Im's ability to plan for and manage its portfolio. This testimony today draws on two reports GAO issued in March and May of this year in response to requirements in the Export-Import Bank Reauthorization Act of 2012 (Reauthorization Act). The act required GAO to assess aspects of Ex-Im's risk management and 2012 Business Plan in the context of the agency's growth. The act also increased the statutory ceiling on the agency's total exposure (exposure limit). This testimony discusses Ex-Im's efforts to (1) forecast exposure levels, (2) manage financial risks and estimate losses, and (3) manage its workload.