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Computers. Text Mining, Scraping and Sentiment Analysis with R. Are you an advanced R user, looking to expand your R toolbox? Are you interested in social media sentiment analysis? Do you want to learn how you can get and use Twitter data for your R analysis? Do you want to learn how you can systematically find related words (keywords) to a search term using Twitter and R? Are you interested in creating visualizations like wordclouds out of text data? Do you want to learn which R packages you can use for web scraping and text analysis purposes? If YES came to your mind to some of those points – this course might be tailored towards your needs! This course will teach you anything you need to know about how to handle social media data in R.

During this course we will take a walk through the whole text analysis process of Twitter data. At first you will learn which packages are available for social media analysis. You will learn how to scrape social media (Twitter) data and get it into your R session. What R you waiting for? Martin. Inferring Algorithmic Patterns with Stack | Blog | Research at Facebook | Facebook.

In recent years, machine learning has made a lot of progress in different application domains such as computer vision and speech recognition. Most of this success has been achieved by scaling up existing methods to leverage the information contained in big data. In particular, models tailored for sequential prediction have shown strong results in challenging natural language problems such as language modeling. With the recent success of deep learning, one can ask how far are we from developing a real artificial intelligence as shown in science fiction movies. In our recent work, we show that certain simple sequential patterns cannot be learned by these popular deep learning approaches. We propose a novel sequence prediction approach which has the capability to learn these simple concepts. The model includes a memory structure that is learned to operate in a way to solve the training tasks. In the paper, we also demonstrate what a non-trivial example of what the model could learn.

Operating Systems: Three Easy Pieces. Blog: Why Textbooks Should Be Free Quick: Free Book Chapters - Buy Hardcover - Buy Softcover - Buy PDF - Buy from EU - Buy in India - Buy T-shirt - Donate - For Teachers - Homework - Projects - News - Acknowledgements - Other Books Welcome to Operating Systems: Three Easy Pieces (now version 1.00 -- see book news for details), a free online operating systems book!

The book is centered around three conceptual pieces that are fundamental to operating systems: virtualization, concurrency, and persistence. In understanding the conceptual, you will also learn the practical, including how an operating system does things like schedule the CPU, manage memory, and store files persistently. Lots of fun stuff! This book is and will always be free in PDF form, as seen below. For those of you wishing to BUY a copy, please consider the following: Can't bear to go out in public without an operating system?

Donate: By popular demand, another way to support this site and its contents: donate! Data Structure Visualization. Programming R at native speed using Haskell. Gigster - Hire a quality developer. Creative Tim | Tools to build better websites. Reverse-Engineering iOS Apps: Hacking on Lyft, with Conrad Kramer. Sign up to be notified of new videos— we won’t email you for any other reason, ever. About the Speaker: Conrad Kramer Conrad Kramer started developing for iOS after he got involved with the jailbreak scene back in 2010 with his first tweak Graviboard. Since then, he has gotten into regular iOS development and worked on various open source projects in the Cocoa community, like AFOAuth2Client and WFNotificationCenter.

Conrad now spends all of his waking hours on Workflow, an automation tool for iOS, where he works on anything from the server backend to building the complex drag and drop interactions. I’m Conrad Kramer, an iOS developer at Workflow, and I will discuss reverse engineering of iOS apps. There are two pain points when you’re doing reverse engineering. Operating tools are difficult because the tools themselves are usually not very well documented and pretty obscure. I decided to start with a test subject, Lyft’s iOS app, because it’s written entirely in Swift. Sitios Web donde aprender a programar gratis y algunos consejos para no perderte. Saber programar es cada vez más necesario en nuestros días. Muchos países ya incluyen la asignatura de programación en sus planes de estudio desde muy pequeños.

Los que ya estamos un poco más mayorcitos podemos aprender a programar por nuestra cuenta. Iniciarse no es difícil aunque requiere algo de tiempo y dedicación por nuestra parte para conocer los lenguajes más populares. El problema para los no iniciados es que frecuentemente la programación se percibe como un campo muy cambiante, donde hay una continua proliferación de versiones y pugnas entre casas comerciales que hacen que los lenguajes cambien muy rápidamente y al final resulta difícil tener claro qué es lo más conveniente aprender. Hoy existen en Internet muchas herramientas y páginas web gratuitas que te pueden ayudar a descifrar los secretos de ese código que ahora no entendemos. Me he tomado la libertad de recopilar lugares donde perderle el miedo a que nos muerda el código Es un sitio pensado en niños. Depende. Archives. 60+ R resources to improve your data skills.

This list was originally published as part of the Computerworld Beginner's Guide to R but has since been expanded to also include resources for advanced beginner and intermediate users. If you're just starting out with R, I recommend first heading to the Beginner's Guide PDF download. These websites, videos, blogs, social media/communities, software and books/ebooks can help you do more with R; my favorites are listed in bold. Want to see a sortable list of resources by subject and type? Expand the chart below. You can also search for key terms within the chart by using the search box below. R Resources Books and e-books R Cookbook. R Graphics Cookbook. R in Action: Data analysis and graphics with R. The Art of R Programming. R in a Nutshell. Visualize This. Introduction to Data Science. R for Everyone. Advanced R. Data Driven Security . R For Dummies. Statistical Analysis With R: Beginner's Guide.

Reproducible Research with R and RStudio. Online references Cookbook for R. Quick-R. Videos. How To Become A Hacker. Copyright © 2001 Eric S. Raymond As editor of the Jargon File and author of a few other well-known documents of similar nature, I often get email requests from enthusiastic network newbies asking (in effect) "how can I learn to be a wizardly hacker? ". Back in 1996 I noticed that there didn't seem to be any other FAQs or web documents that addressed this vital question, so I started this one.

A lot of hackers now consider it definitive, and I suppose that means it is. Still, I don't claim to be the exclusive authority on this topic; if you don't like what you read here, write your own. If you are reading a snapshot of this document offline, the current version lives at Note: there is a list of Frequently Asked Questions at the end of this document. Numerous translations of this document are available: ArabicBelorussianBulgarianChinese, Czech.

The five-dots-in-nine-squares diagram that decorates this document is called a glider. 1. 2. 3. 5. 2. How to Design Programs, Second Edition. Using This Website | Computer Science Circles. The purpose of this website is to teach the basics of Python programming in a semi-interactive fashion. It contains a series of instructions, mixed with exercises that you can use to test your progress. Anyone can use this website for free. You can register by creating a free account, if you want to save your progress. You don't need to install anything on your computer to use this website. Below we have instructions for teachers using this site with students. The exercises and writing are aimed at people who have no prior experience programming. There are automatically-graded exercises to build up your skills. Some of our exercises ask you to predict what Python will do on some example code. This website is not a replacement for working with a real teacher. We provide a console and visualizer which you can use to execute any programs that you like.

Thanks for using our site! Click here to go to the first lesson. For teachers. Gentoomen Library. Justinmind: Interactive wireframes for web and mobile. POP - Prototyping on Paper | Mobile App Prototyping Made Easy.


Popular Python recipes tagged "meta:min_python_3" Tutorials \ A Guide to Web Scraping Tools - Gareth James. Post Last Updated:Monday, August 21, 2017 Jump to Expired domain name web scrapers Web Scrapers are tools designed to extract / gather data in a website via crawling engine usually made in Java, Python, Ruby and other programming languages. Web Scrapers are also called as Web Data Extractors, Data Harvesters , Crawlers most of which are web-based or can be installed in local desktops.

Buy the Web Scraping Secrets Exposed ebook. This ebook is 165 pages long and written by Jon Donetello, who’s spent years web scraping for profit. Web scraping software enable webmasters, bloggers, journalist and virtual assistants to harvest data from a certain website whether text, numbers, contact details and images in a structured way which cannot be done easily through manually copying and pasting due to the large amount of data that needs to be scraped. Web Scraper Usage List of Best Web Scraping Software There are hundreds of Web Scrapers today available for both commercial and personal use. 1. 10 places where anyone can learn to code. Teens, tweens and kids are often referred to as “digital natives.” Having grown up with the Internet, smartphones and tablets, they’re often extraordinarily adept at interacting with digital technology.

But Mitch Resnick, who spoke at TEDxBeaconStreet, is skeptical of this descriptor. Sure, young people can text and chat and play games, he says, “but that doesn’t really make you fluent.” Mitch Resnick: Let's teach kids to code Fluency, Resnick proposes in this TED Talk, comes not through interacting with new technologies, but through creating them. The former is like reading, while the latter is like writing. He means this figuratively — that creating new technologies, like writing a book, requires creative expression — but also literally: to make new computer programs, you actually must write the code.

The point isn’t to create a generation of programmers, Resnick argues. At Codecademy, you can take lessons on writing simple commands in JavaScript, HTML and CSS, Python and Ruby. Python Extension Packages for Windows - Christoph Gohlke. By Christoph Gohlke, Laboratory for Fluorescence Dynamics, University of California, Irvine. This page provides 32- and 64-bit Windows binaries of many scientific open-source extension packages for the official CPython distribution of the Python programming language. The files are unofficial (meaning: informal, unrecognized, personal, unsupported, no warranty, no liability, provided "as is") and made available for testing and evaluation purposes.

If downloads fail reload this page, enable JavaScript, disable download managers, disable proxies, clear cache, and use Firefox. Please only download files manually as needed. Most binaries are built from source code found on PyPI or in the projects public revision control systems. Source code changes, if any, have been submitted to the project maintainers or are included in the packages.

Refer to the documentation of the individual packages for license restrictions and dependencies. Use pip version 8 or newer to install the downloaded .whl files.