Getting Started: Building a Chrome Extension Extensions allow you to add functionality to Chrome without diving deeply into native code. You can create new extensions for Chrome with those core technologies that you're already familiar with from web development: HTML, CSS, and JavaScript. If you've ever built a web page, you should feel right at home with extensions pretty quickly; we'll put that to the test right now by walking through the construction of a simple extension that will give you one-click access to pictures of kittens. We'll do so by implementing a UI element we call a browser action, which allows us to place a clickable icon right next to Chrome's Omnibox for easy access. If you'd like to follow along at home (and you should!) The very first thing we'll need to create is a manifest file named manifest.json. In order to display kittens, we'll want to tell Chrome that we'd like to create a browser action, and that we'd like free-reign to access kittens from a particular source on the net.
Mining of Massive Datasets The book has now been published by Cambridge University Press. The publisher is offering a 20% discount to anyone who buys the hardcopy Here. By agreement with the publisher, you can still download it free from this page. Cambridge Press does, however, retain copyright on the work, and we expect that you will obtain their permission and acknowledge our authorship if you republish parts or all of it. --- Jure Leskovec, Anand Rajaraman (@anand_raj), and Jeff Ullman Download Version 2.1 The following is the second edition of the book, which we expect to be published soon. There is a revised Chapter 2 that treats map-reduce programming in a manner closer to how it is used in practice, rather than how it was described in the original paper. Version 2.1 adds Section 10.5 on finding overlapping communities in social graphs. Download the Latest Book (511 pages, approximately 3MB) Download chapters of the book: Download Version 1.0 Download the Book as Published (340 pages, approximately 2MB)
Hands-On Python A Tutorial Introduction for Beginners Hands-On Python A Tutorial Introduction for Beginners Contents Chapter 1 Beginning With Python 1.1. You have probably used computers to do all sorts of useful and interesting things. 1.1.1. First let us place Python programming in the context of the computer hardware. z = x+y is an instruction in many high-level languages that means something like: Access the value stored at a location labeled x Calculate the sum of this value and the value stored at a location labeled y Store the result in a location labeled z. No computer understands the high-level instruction directly; it is not in machine language. Obviously high-level languages were a great advance in clarity! If you follow a broad introduction to computing, you will learn more about the layers that connect low-level digital computer circuits to high-level languages. 1.1.2. There are many high-level languages. 1.1.3. If you are not sure whether your computer already has Python, continue to Section 1.2.2 , and give it a try. Windows Linux 1.2.
Python - Quick Guide Python is a high-level, interpreted, interactive and object oriented-scripting language. Python is InterpretedPython is InteractivePython is Object-OrientedPython is Beginner's Language Python was developed by Guido van Rossum in the late eighties and early nineties at the National Research Institute for Mathematics and Computer Science in the Netherlands. Python's feature highlights include: Easy-to-learnEasy-to-readEasy-to-maintainA broad standard libraryInteractive ModePortableExtendableDatabasesGUI ProgrammingScalable The most up-to-date and current source code, binaries, documentation, news, etc. is available at the official website of Python: Python Official Website : You can download the Python documentation from the following site. Python Documentation Website : www.python.org/doc/ Interactive Mode Programming: Invoking the interpreter without passing a script file as a parameter brings up the following prompt: >>> print "Hello, Python!" Hello, Python! #! Example: #! #!
Top 10 Python idioms I wish I'd learned earlier I've been programming all my life, but never been a programmer. Most of my work was done in Visual Basic because it's what I was most comfortable with, plus a smattering of other languages (R, C, JavaScript, etc... Pascal, Applescript, Hypertext and BASIC, which I learned in 1979, if you go far back enough). A couple of years ago, I decided to use Python exclusively so that I could improve my coding. I ended up re-inventing many wheels -- which I didn't mind too much, because I enjoy solving puzzles. But sometimes it's good to have a more efficient, Pythonesque approach, and time after time I found myself having "aha!" Missing from this list are some idioms such as list comprehensions and lambda functions, which are very Pythonesque and very efficient and very cool, but also very difficult to miss because they're mentioned on StackOverflow every other answer! There's also an IPython notebook nbviewer version of this document if you prefer.
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Unstructured data is worth the effort when you've got the right tools It’s dawning on companies that data analysis can yield insights and inform business decisions. As data-driven benefits grow, so do our demands about what more data can tell us and what other types we can mine. During her PhD studies, Alyona Medelyan (@zelandiya) developed Maui, an open source tool that performs as well as professional librarians in identifying main topics in documents. Medelyan now leads the research and development of API-based products at Pingar. Pingar senior software researcher Anna Divoli (@annadivoli) studied sentence extraction for semi-automatic annotation of biological databases. “Big data is important in many diverse areas, such as science, social media, and enterprise,” observes Divoli. How did you get started in big data? Anna Divoli: I began working with big data as it relates to science during my PhD. Alyona Medelyan: Like Anna, I mainly focus on unstructured data and how it can be managed using clever algorithms. What projects are you working on now?
Code Like a Pythonista: Idiomatic Python In this interactive tutorial, we'll cover many essential Python idioms and techniques in depth, adding immediately useful tools to your belt. There are 3 versions of this presentation: ©2006-2008, licensed under a Creative Commons Attribution/Share-Alike (BY-SA) license. My credentials: I am a resident of Montreal,father of two great kids, husband of one special woman,a full-time Python programmer,author of the Docutils project and reStructuredText,an editor of the Python Enhancement Proposals (or PEPs),an organizer of PyCon 2007, and chair of PyCon 2008,a member of the Python Software Foundation,a Director of the Foundation for the past year, and its Secretary. In the tutorial I presented at PyCon 2006 (called Text & Data Processing), I was surprised at the reaction to some techniques I used that I had thought were common knowledge. Many of you will have seen some of these techniques and idioms before. These are the guiding principles of Python, but are open to interpretation. import this
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