Post written by Peter Stockwell, Editor of the new The Cambridge Handbook of Stylistics Twenty-five years ago, one of the contributors to the new Cambridge Handbook of Stylistics started a conference paper by declaring that there could not be a...
How To Take Cornell Notes Form: Cornell Notes Purpose: Distill complex text, arguments, etc. into format useful for study Sweet Spot: Grades 8-12, college Background: According to Wikipedia, the system was developed in the 1950s...
Above: Tom Davenport, author of the book "Big Data @ Work: Dispelling the Myths, Uncovering the Opportunities," speaks at VentureBeat's DataBeat conference in San Francisco today.Image Credit: Michael O'Donnell/VentureBeatSAN FRANCISCO — Ask...
Academic work offers much more flexibility and freedom than other jobsLast month over coffee, a talented PhD student in my department asked me whether it was realistic for her to pursue an academic career, given that she wants to have children soon.
Have you ever fainted from the sheer idea of having to find and replace text in millions of files? Have you ever felt helpless because you needed to search and replace different data 50 times at once? Have you ever lost original files while doing normal text processing tasks? If you’ve found yourself in any of these situations, then it is time to feel a bit tougher, at least mentally. Below, we review 25 useful text batch processing tools. These tools will help you search and replace text in millions of files in the blink of an eye. Many of them even allow you to use regular expressions to improve your search and replace operations, saving you precious hours on day-to-day text-processing tasks. These tools can be used by programmers and developers, novice and experienced alike, to perform repetitive text-processing tasks. At the end of this post, you’ll find a table summarizing the features of the tools reviewed here, which will help you decide on the best tool for your particular purpose. You many want to take a look at 15 Useful Batch Image Processors as well.
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