Andy Harris Html5 Css3 Pdf Archives
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Lost and Living (In) Archives: Collectively Shaping New Memories
An archive is a collection of documents and records that is preserved for historical purposes. As such, an archive is considered a site of the past, a place that contains traces of a collective memory of a nation, a people or a group. Digital archives have changed from stable entities into flexible systems, referred to with the term ?Living Archives?. But in which ways has this change affected our relationship to the past, present and future? Will the erased, forgotten and neglected be redeemed, and new memories be allowed? Will the fictional versus factual mode of archiving offer the democracy that the public domain implies, or is it another way for public instruments of power to operate? 'Lost and Living (in) Archives' shows that an archive is not simply a recording, a reflection, or an image of an event, but that it shapes the event itself and thus influences both present and past.
The Data Journalism Handbook
Author: Jonathan Gray
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2012-07-12
When you combine the sheer scale and range of digital information now available with a journalist’s "nose for news" and her ability to tell a compelling story, a new world of possibility opens up. With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses of this new and fascinating field. This valuable handbook has attracted scores of contributors since the European Journalism Centre and the Open Knowledge Foundation launched the project at MozFest 2011. Through a collection of tips and techniques from leading journalists, professors, software developers, and data analysts, you’ll learn how data can be either the source of data journalism or a tool with which the story is told—or both. Examine the use of data journalism at the BBC, the Chicago Tribune, the Guardian, and other news organizations Explore in-depth case studies on elections, riots, school performance, and corruption Learn how to find data from the Web, through freedom of information laws, and by "crowd sourcing" Extract information from raw data with tips for working with numbers and statistics and using data visualization Deliver data through infographics, news apps, open data platforms, and download links
Web Scraping with Python
Author: Ryan Mitchell
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2015-06-15
Learn web scraping and crawling techniques to access data from any web source in any format. Teaches basic web scraping mechanics, but also delves into more advanced topics, such as analyzing raw data or using scrapers for frontend website testing.