Coder for Raspberry Pi A simple way to make web stuff on Raspberry Pi. Coder is a free, open source project that turns a Raspberry Pi into a simple platform that educators and parents can use to teach the basics of building for the web. New coders can craft small projects in HTML, CSS, and Javascript, right from the web browser. Download Coder 1.33GB | Coder v0.9Now supports Raspberry Pi 2! How to Install and Connect. Download, unzip, and run the Coder Installer. Mac users, just run the provided installer.PC users, check out our Windows-specific Instructions for more installation details. Insert your new Coder SD card into your Pi, make sure your Pi and your computer are plugged into the network, and power it up. The Pi will be your new web server. On your computer, visit in Chrome to connect to your new Coder and start playing. [Note: You will see a warning about Coder's certificate. Download and run the Coder Installer with any 4GB SD Card. Getting to Know Coder. Click on any app to open it up.
List of SQL commands for Commonly Used Excel Operations Introduction Learning SQL after Excel couldn’t be simpler! I’ve spent more than a decade working on Excel. Yet, there is so much to learn. If you dislike coding, excel could be your rescue into data science world (to some extent). Once you understand Excel operations, learning SQL is very easy. Why can’t you use Excel for serious data science work? Now at this stage, you might ask, why can’t I use excel for all my work. For large datasets, excel is not effective. Moving to SQL would address point 1 and point 2 to some extent. If you don’t know SQL yet and have worked in Excel, you can get started right now. Related : Basics of SQL and RDBMS for Beginners List of Common Excel Operations Here is the list of commonly used excel operation. View DataSort DataFilter DataDelete RecordsAdd RecordsUpdate Data in Existing RecordShow Unique ValuesWrite an expression to generate new columnLookUp data from another tablePivot Table 1. In excel, we can view all the records directly. Syntax: Exercise: A. B.
1.1 Online Activity - Blended Learning Initiative Introduction This first session lays the foundation for re-designing your course by helping you develop your own blended learning strategy. In order to develop a blended strategy, you will need to understand what blended learning is, what types of blended learning models are available to use, and how those models address the problems instructors face What is blended learning? The figure below shows a spectrum of learning modalities from traditional face-to-face instruction to completely online instruction. One of the challenges with technology enhanced courses that do not replace classroom activities with online activities is what the literature refers to as "course-and-a-half syndrome" (Kaleta, Skibba, & Joosten, 2007). Challenges addressed by blended learning Blended learning models attempt to address challenges encountered in traditional face-to-face courses. Ask yourself the following questions:What are the most significant instructional challenges you face with your course?
Ask Ars: Why are some programming languages faster than others? In our look at scientific computing and the continued longevity of Fortran in science and engineering circles, one of the recurring themes in the discussion that followed was performance. One of the big reasons that Fortran remains important is because it's fast: number crunching routines written in Fortran tend to be quicker than equivalent routines written in most other languages. The languages that are competing with Fortran in this space—C and C++—are used because they're competitive with this performance. This raises the question: why? Interpreting versus compiling There are many ways to categorize and define programming languages, according to the style of programming they encourage and features they offer. The divide is not hard; rather, there's a spectrum. This compilation process has several steps. This in-memory representation is then used to drive a code generator, the part that produces executable code. Actually executing the code happens later. Blurring the lines
Home Page for ISO/IEC 11179 Information Technology -- Metadata registries Last Update: 2015-11-05 ISO/IEC 11179, Information Technology -- Metadata registries (MDR) The 11179 standard is a multipart standard that includes the following parts: · Part 1: Framework · Part 2: Classification · Part 3: Registry metamodel and basic attributes · Part 4: Formulation of data definitions · Part 5: Naming and identification principles · Part 6: Registration · Part 7: Datasets 11179-1: Framework This part of ISO/IEC 11179 introduces and discusses fundamental ideas of data elements, value domains, data element concepts, conceptual domains, and classification schemes essential to the understanding of this set of standards and provides the context for associating the individual parts of ISO/IEC 11179. Project Editor: Dan GILLMAN Edition 3 – under development: Link to ISO Project Portal Open Issues with Edition 2 are posted on the WG2 Issue Forum. Published Editions: Return to top of page. 11179-2: Classification Project Editorss: Frank FARANCE and Tae-Sul SEO Rationale for 3rd edition:
Resources about online education Grade Change: Tracking Online Education in the United States The 2013 Survey of Online Learning conducted by the Babson Survey Research Group reveals the number of higher education students taking at least one online course has now surpassed 7.1 million. The 6.1 percent growth rate, although the lowest for a decade, still represents over 400,000 additional students taking at least one online course. While the rate of growth in online enrollments has moderated over the past several years, it still greatly exceeds the growth in overall higher education enrollments, said study co-author I. Some key report findings include: Changing Course: Ten Years of Tracking Online Education in the United States The tenth annual survey, a collaborative effort between the Babson Survey Research Group and the College Board, is the leading barometer of online learning in the United States. The report is available in multiple formats: Going the Distance: Online Education in the United States, 2011
License Version 2.0, January 2004 1. Definitions "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. 2. 3. 4. 5. 6. 7. 8.
The Difference Between Big Data and a Lot of Data Bernard Marr The term “big data” has been around for a while now, but I still come across people who make the same basic mistake when someone asks them to explain what exactly it is. The problem, as I have pointed out in the past, is due to the name. Big data was never meant to be purely about the size of the data. Right from the start, when the first attempts were made to codify the “rules” of big data, this was the case. Gartner’s famous “3 V’s” of big data were, in fact, minted to make this very point. So, from the beginning, big data should have more accurately been labelled “big, fast and varied data” – although of course that doesn’t sound so catchy! So, the problem is this: When clients approach me to work with them, they often say, “We already do big data.” What they have is a lot of data. “Variety” in particular is a very important element of big data. A lot of data, on their own, are worthless. There’s nothing at all wrong with collecting a lot of data.
Mihaly Csikszentmihalyi: Motivating People to Learn Mihaly Csikszentmihalyi, Ph.D., psychologist and author of the book, Flow: The Psychology of Optimal Experience, describes what schools and parents can do to promote optimal learning experiences. 1. What's the best way to motivate people to learn? Generally, we are motivated by two different reasons. We either do some things for what we call extrinsic reasons. Namely, you work for forty hours a week so you can get a paycheck at the end. Now, flow is a type of intrinsic motivation, that is, there you do what you're doing primarily because you like what you're doing. Back to top 2. The flow experience is when a person is completely involved in what he or she is doing, when the concentration is very high, when the person knows moment by moment what the next steps should be, like if you are playing tennis, you know where you want the ball to go, if you are playing a musical instrument you know what notes you want to play, every millisecond, almost. 3. 4. 5. 6. 7. a 8.
TideSDK | Create multi-platform desktop apps with HTML5, CSS3 and JavaScript 5 Tribes of Machine Learning – Questions and Answers Leading researcher Pedro Domingos answers questions on 5 tribes of Machine Learning, Master Algorithm, No Free Lunch Theorem, Unsupervised Learning, Ensemble methods, 360-degree recommender, and more. By Gregory Piatetsky, @kdnuggets. On Nov 24 I moderated ACM Webinar with Pedro Domingos. Pedro, one of the leading researchers in Machine Learning and Data Science, expounded on his excellent book, "The Master Algorithm" where he explained the approaches of 5 tribes of Machine Learning: symbolists, Connectionists, Evolutionaries, Bayesians, and Analogizers, and how those methods can be combined in search of the master algorithm for Machine Learning that will revolutionize our world. Over 1,500 people attended the webinar. After introducing Pedro I was prepared to relax and enjoy the presentation, but my role as a moderator turned out unexpectedly intense, when lots of questions - which I had to read and quickly prioritize - started coming in after only a few minutes. PD: Certainly.
Get IRS Tax Transcript (Filing Comformation) Español | 中文 | 한국어 | TiếngViệt | Pусский Alert: The online Get Transcript service is currently unavailable. You may still order transcripts using the Get Transcript by Mail service. You can get a transcript by mail to view your tax account transactions or line-by-line tax return information for a specific tax year. To use Get Transcript by Mail, you need your Social Security number (SSN) or your Individual Tax Identification Number (ITIN), date of birth, and address from your latest tax return. JAWS Users Session Expiration Warning If this application remains idle for 15 minutes, it displays a session expiration warning message in a popup or new browser window, allowing you to extend your session. The IRS never sends email requesting that you obtain or access your transcripts.