Search Results

Search found 93388 results on 3736 pages for 'code structure'.

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

Page 608/3736 | < Previous Page | 604 605 606 607 608 609 610 611 612 613 614 615  | Next Page >

  • Google I/O 2012 - Introducing Google Compute Engine

    Google I/O 2012 - Introducing Google Compute Engine Craig McLuckie, Martin Gannholm Google Compute Engine is a new virtual machine based cloud technology for large scale data processing and analytics workloads. It allows the world to leverage the scalability and power of Google's data centers to run computationally intensive jobs. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 1614 29 ratings Time: 01:00:58 More in Science & Technology

    Read the article

  • Google I/O 2012 - Monetizing Digital Goods with Google Wallet

    Google I/O 2012 - Monetizing Digital Goods with Google Wallet Joel Leitch, Dan Zink, Pali Bhat Whether you're a game developer selling virtual goods or currencies, or a media developer selling news content, videos, music or any other premium digital media, having an simple way to process payments from your customers is important. In this session, we will walk through an explanation of Google Wallet for digital goods, the new features, and the improved pricing model for developers. In addition, Kabam will share their experience with Google Wallet and best practices for integration. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 307 13 ratings Time: 44:31 More in Science & Technology

    Read the article

  • MapReduce in DryadLINQ and PLINQ

    - by JoshReuben
    MapReduce See http://en.wikipedia.org/wiki/Mapreduce The MapReduce pattern aims to handle large-scale computations across a cluster of servers, often involving massive amounts of data. "The computation takes a set of input key/value pairs, and produces a set of output key/value pairs. The developer expresses the computation as two Func delegates: Map and Reduce. Map - takes a single input pair and produces a set of intermediate key/value pairs. The MapReduce function groups results by key and passes them to the Reduce function. Reduce - accepts an intermediate key I and a set of values for that key. It merges together these values to form a possibly smaller set of values. Typically just zero or one output value is produced per Reduce invocation. The intermediate values are supplied to the user's Reduce function via an iterator." the canonical MapReduce example: counting word frequency in a text file.     MapReduce using DryadLINQ see http://research.microsoft.com/en-us/projects/dryadlinq/ and http://connect.microsoft.com/Dryad DryadLINQ provides a simple and straightforward way to implement MapReduce operations. This The implementation has two primary components: A Pair structure, which serves as a data container. A MapReduce method, which counts word frequency and returns the top five words. The Pair Structure - Pair has two properties: Word is a string that holds a word or key. Count is an int that holds the word count. The structure also overrides ToString to simplify printing the results. The following example shows the Pair implementation. public struct Pair { private string word; private int count; public Pair(string w, int c) { word = w; count = c; } public int Count { get { return count; } } public string Word { get { return word; } } public override string ToString() { return word + ":" + count.ToString(); } } The MapReduce function  that gets the results. the input data could be partitioned and distributed across the cluster. 1. Creates a DryadTable<LineRecord> object, inputTable, to represent the lines of input text. For partitioned data, use GetPartitionedTable<T> instead of GetTable<T> and pass the method a metadata file. 2. Applies the SelectMany operator to inputTable to transform the collection of lines into collection of words. The String.Split method converts the line into a collection of words. SelectMany concatenates the collections created by Split into a single IQueryable<string> collection named words, which represents all the words in the file. 3. Performs the Map part of the operation by applying GroupBy to the words object. The GroupBy operation groups elements with the same key, which is defined by the selector delegate. This creates a higher order collection, whose elements are groups. In this case, the delegate is an identity function, so the key is the word itself and the operation creates a groups collection that consists of groups of identical words. 4. Performs the Reduce part of the operation by applying Select to groups. This operation reduces the groups of words from Step 3 to an IQueryable<Pair> collection named counts that represents the unique words in the file and how many instances there are of each word. Each key value in groups represents a unique word, so Select creates one Pair object for each unique word. IGrouping.Count returns the number of items in the group, so each Pair object's Count member is set to the number of instances of the word. 5. Applies OrderByDescending to counts. This operation sorts the input collection in descending order of frequency and creates an ordered collection named ordered. 6. Applies Take to ordered to create an IQueryable<Pair> collection named top, which contains the 100 most common words in the input file, and their frequency. Test then uses the Pair object's ToString implementation to print the top one hundred words, and their frequency.   public static IQueryable<Pair> MapReduce( string directory, string fileName, int k) { DryadDataContext ddc = new DryadDataContext("file://" + directory); DryadTable<LineRecord> inputTable = ddc.GetTable<LineRecord>(fileName); IQueryable<string> words = inputTable.SelectMany(x => x.line.Split(' ')); IQueryable<IGrouping<string, string>> groups = words.GroupBy(x => x); IQueryable<Pair> counts = groups.Select(x => new Pair(x.Key, x.Count())); IQueryable<Pair> ordered = counts.OrderByDescending(x => x.Count); IQueryable<Pair> top = ordered.Take(k);   return top; }   To Test: IQueryable<Pair> results = MapReduce(@"c:\DryadData\input", "TestFile.txt", 100); foreach (Pair words in results) Debug.Print(words.ToString());   Note: DryadLINQ applications can use a more compact way to represent the query: return inputTable         .SelectMany(x => x.line.Split(' '))         .GroupBy(x => x)         .Select(x => new Pair(x.Key, x.Count()))         .OrderByDescending(x => x.Count)         .Take(k);     MapReduce using PLINQ The pattern is relevant even for a single multi-core machine, however. We can write our own PLINQ MapReduce in a few lines. the Map function takes a single input value and returns a set of mapped values àLINQ's SelectMany operator. These are then grouped according to an intermediate key à LINQ GroupBy operator. The Reduce function takes each intermediate key and a set of values for that key, and produces any number of outputs per key à LINQ SelectMany again. We can put all of this together to implement MapReduce in PLINQ that returns a ParallelQuery<T> public static ParallelQuery<TResult> MapReduce<TSource, TMapped, TKey, TResult>( this ParallelQuery<TSource> source, Func<TSource, IEnumerable<TMapped>> map, Func<TMapped, TKey> keySelector, Func<IGrouping<TKey, TMapped>, IEnumerable<TResult>> reduce) { return source .SelectMany(map) .GroupBy(keySelector) .SelectMany(reduce); } the map function takes in an input document and outputs all of the words in that document. The grouping phase groups all of the identical words together, such that the reduce phase can then count the words in each group and output a word/count pair for each grouping: var files = Directory.EnumerateFiles(dirPath, "*.txt").AsParallel(); var counts = files.MapReduce( path => File.ReadLines(path).SelectMany(line => line.Split(delimiters)), word => word, group => new[] { new KeyValuePair<string, int>(group.Key, group.Count()) });

    Read the article

  • Rendering in WebKit

    Rendering in WebKit A deep dive into the guts of webkit. Eric Seidel explains the process from loading the resources, building the DOM tree, and the various trees involved in rendering. From: GoogleDevelopers Views: 4525 26 ratings Time: 34:45 More in Science & Technology

    Read the article

  • Google I/O 2012 - Empowering your Workforce with Google Maps

    Google I/O 2012 - Empowering your Workforce with Google Maps Dave Day, David Owens One of the most difficult problems managing your business is figuring out where everything is, be it employees, deliveries, or equipment. In this session we will show you how you can use Google technology to manage all of the assets of your business, and make sure everything is in the right place, at the right time. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 2289 36 ratings Time: 43:38 More in Science & Technology

    Read the article

  • laptop crashed: why?

    - by sds
    my linux (ubuntu 12.04) laptop crashed, and I am trying to figure out why. # last sds pts/4 :0 Tue Sep 4 10:01 still logged in sds pts/3 :0 Tue Sep 4 10:00 still logged in reboot system boot 3.2.0-29-generic Tue Sep 4 09:43 - 11:23 (01:40) sds pts/8 :0 Mon Sep 3 14:23 - crash (19:19) this seems to indicate a crash at 09:42 (= 14:23+19:19). as per another question, I looked at /var/log: auth.log: Sep 4 09:17:02 t520sds CRON[32744]: pam_unix(cron:session): session closed for user root Sep 4 09:43:17 t520sds lightdm: pam_unix(lightdm:session): session opened for user lightdm by (uid=0) no messages file syslog: Sep 4 09:24:19 t520sds kernel: [219104.819975] CPU0: Package power limit normal Sep 4 09:43:16 t520sds kernel: imklog 5.8.6, log source = /proc/kmsg started. kern.log: Sep 4 09:24:19 t520sds kernel: [219104.819969] CPU1: Package power limit normal Sep 4 09:24:19 t520sds kernel: [219104.819971] CPU2: Package power limit normal Sep 4 09:24:19 t520sds kernel: [219104.819974] CPU3: Package power limit normal Sep 4 09:24:19 t520sds kernel: [219104.819975] CPU0: Package power limit normal Sep 4 09:43:16 t520sds kernel: imklog 5.8.6, log source = /proc/kmsg started. Sep 4 09:43:16 t520sds kernel: [ 0.000000] Initializing cgroup subsys cpuset Sep 4 09:43:16 t520sds kernel: [ 0.000000] Initializing cgroup subsys cpu I had a computation running until 9:24, but the system crashed 18 minutes later! kern.log has many pages of these: Sep 4 09:43:16 t520sds kernel: [ 0.000000] total RAM covered: 8086M Sep 4 09:43:16 t520sds kernel: [ 0.000000] gran_size: 64K chunk_size: 64K num_reg: 10 lose cover RAM: 38M Sep 4 09:43:16 t520sds kernel: [ 0.000000] gran_size: 64K chunk_size: 128K num_reg: 10 lose cover RAM: 38M Sep 4 09:43:16 t520sds kernel: [ 0.000000] gran_size: 64K chunk_size: 256K num_reg: 10 lose cover RAM: 38M Sep 4 09:43:16 t520sds kernel: [ 0.000000] gran_size: 64K chunk_size: 512K num_reg: 10 lose cover RAM: 38M Sep 4 09:43:16 t520sds kernel: [ 0.000000] gran_size: 64K chunk_size: 1M num_reg: 10 lose cover RAM: 38M Sep 4 09:43:16 t520sds kernel: [ 0.000000] gran_size: 64K chunk_size: 2M num_reg: 10 lose cover RAM: 38M Sep 4 09:43:16 t520sds kernel: [ 0.000000] gran_size: 64K chunk_size: 4M num_reg: 10 lose cover RAM: 38M Sep 4 09:43:16 t520sds kernel: [ 0.000000] gran_size: 64K chunk_size: 8M num_reg: 10 lose cover RAM: 38M Sep 4 09:43:16 t520sds kernel: [ 0.000000] gran_size: 64K chunk_size: 16M num_reg: 10 lose cover RAM: 38M Sep 4 09:43:16 t520sds kernel: [ 0.000000] *BAD*gran_size: 64K chunk_size: 32M num_reg: 10 lose cover RAM: -16M Sep 4 09:43:16 t520sds kernel: [ 0.000000] *BAD*gran_size: 64K chunk_size: 64M num_reg: 10 lose cover RAM: -16M Sep 4 09:43:16 t520sds kernel: [ 0.000000] gran_size: 64K chunk_size: 128M num_reg: 10 lose cover RAM: 0G Sep 4 09:43:16 t520sds kernel: [ 0.000000] gran_size: 64K chunk_size: 256M num_reg: 10 lose cover RAM: 0G Sep 4 09:43:16 t520sds kernel: [ 0.000000] gran_size: 64K chunk_size: 512M num_reg: 10 lose cover RAM: 0G Sep 4 09:43:16 t520sds kernel: [ 0.000000] gran_size: 64K chunk_size: 1G num_reg: 10 lose cover RAM: 0G Sep 4 09:43:16 t520sds kernel: [ 0.000000] *BAD*gran_size: 64K chunk_size: 2G num_reg: 10 lose cover RAM: -1G does this mean that my RAM is bad?! it also says Sep 4 09:43:16 t520sds kernel: [ 2.944123] EXT4-fs (sda1): INFO: recovery required on readonly filesystem Sep 4 09:43:16 t520sds kernel: [ 2.944126] EXT4-fs (sda1): write access will be enabled during recovery Sep 4 09:43:16 t520sds kernel: [ 3.088001] firewire_core: created device fw0: GUID f0def1ff8fbd7dff, S400 Sep 4 09:43:16 t520sds kernel: [ 8.929243] EXT4-fs (sda1): orphan cleanup on readonly fs Sep 4 09:43:16 t520sds kernel: [ 8.929249] EXT4-fs (sda1): ext4_orphan_cleanup: deleting unreferenced inode 658984 ... Sep 4 09:43:16 t520sds kernel: [ 9.343266] EXT4-fs (sda1): ext4_orphan_cleanup: deleting unreferenced inode 525343 Sep 4 09:43:16 t520sds kernel: [ 9.343270] EXT4-fs (sda1): 56 orphan inodes deleted Sep 4 09:43:16 t520sds kernel: [ 9.343271] EXT4-fs (sda1): recovery complete Sep 4 09:43:16 t520sds kernel: [ 9.645799] EXT4-fs (sda1): mounted filesystem with ordered data mode. Opts: (null) does this mean my HD is bad? As per FaultyHardware, I tried smartctl -l selftest, which uncovered no errors: smartctl 5.41 2011-06-09 r3365 [x86_64-linux-3.2.0-30-generic] (local build) Copyright (C) 2002-11 by Bruce Allen, http://smartmontools.sourceforge.net === START OF INFORMATION SECTION === Model Family: Seagate Momentus 7200.4 Device Model: ST9500420AS Serial Number: 5VJE81YK LU WWN Device Id: 5 000c50 0440defe3 Firmware Version: 0003LVM1 User Capacity: 500,107,862,016 bytes [500 GB] Sector Size: 512 bytes logical/physical Device is: In smartctl database [for details use: -P show] ATA Version is: 8 ATA Standard is: ATA-8-ACS revision 4 Local Time is: Mon Sep 10 16:40:04 2012 EDT SMART support is: Available - device has SMART capability. SMART support is: Enabled === START OF READ SMART DATA SECTION === SMART overall-health self-assessment test result: PASSED See vendor-specific Attribute list for marginal Attributes. General SMART Values: Offline data collection status: (0x82) Offline data collection activity was completed without error. Auto Offline Data Collection: Enabled. Self-test execution status: ( 0) The previous self-test routine completed without error or no self-test has ever been run. Total time to complete Offline data collection: ( 0) seconds. Offline data collection capabilities: (0x7b) SMART execute Offline immediate. Auto Offline data collection on/off support. Suspend Offline collection upon new command. Offline surface scan supported. Self-test supported. Conveyance Self-test supported. Selective Self-test supported. SMART capabilities: (0x0003) Saves SMART data before entering power-saving mode. Supports SMART auto save timer. Error logging capability: (0x01) Error logging supported. General Purpose Logging supported. Short self-test routine recommended polling time: ( 1) minutes. Extended self-test routine recommended polling time: ( 109) minutes. Conveyance self-test routine recommended polling time: ( 2) minutes. SCT capabilities: (0x103b) SCT Status supported. SCT Error Recovery Control supported. SCT Feature Control supported. SCT Data Table supported. SMART Attributes Data Structure revision number: 10 Vendor Specific SMART Attributes with Thresholds: ID# ATTRIBUTE_NAME FLAG VALUE WORST THRESH TYPE UPDATED WHEN_FAILED RAW_VALUE 1 Raw_Read_Error_Rate 0x000f 117 099 034 Pre-fail Always - 162843537 3 Spin_Up_Time 0x0003 100 100 000 Pre-fail Always - 0 4 Start_Stop_Count 0x0032 100 100 020 Old_age Always - 571 5 Reallocated_Sector_Ct 0x0033 100 100 036 Pre-fail Always - 0 7 Seek_Error_Rate 0x000f 069 060 030 Pre-fail Always - 17210154023 9 Power_On_Hours 0x0032 095 095 000 Old_age Always - 174362787320258 10 Spin_Retry_Count 0x0013 100 100 097 Pre-fail Always - 0 12 Power_Cycle_Count 0x0032 100 100 020 Old_age Always - 571 184 End-to-End_Error 0x0032 100 100 099 Old_age Always - 0 187 Reported_Uncorrect 0x0032 100 100 000 Old_age Always - 0 188 Command_Timeout 0x0032 100 100 000 Old_age Always - 1 189 High_Fly_Writes 0x003a 100 100 000 Old_age Always - 0 190 Airflow_Temperature_Cel 0x0022 061 043 045 Old_age Always In_the_past 39 (0 11 44 26) 191 G-Sense_Error_Rate 0x0032 100 100 000 Old_age Always - 84 192 Power-Off_Retract_Count 0x0032 100 100 000 Old_age Always - 20 193 Load_Cycle_Count 0x0032 099 099 000 Old_age Always - 2434 194 Temperature_Celsius 0x0022 039 057 000 Old_age Always - 39 (0 15 0 0) 195 Hardware_ECC_Recovered 0x001a 041 041 000 Old_age Always - 162843537 196 Reallocated_Event_Count 0x000f 095 095 030 Pre-fail Always - 4540 (61955, 0) 197 Current_Pending_Sector 0x0012 100 100 000 Old_age Always - 0 198 Offline_Uncorrectable 0x0010 100 100 000 Old_age Offline - 0 199 UDMA_CRC_Error_Count 0x003e 200 200 000 Old_age Always - 0 254 Free_Fall_Sensor 0x0032 100 100 000 Old_age Always - 0 SMART Error Log Version: 1 No Errors Logged SMART Self-test log structure revision number 1 Num Test_Description Status Remaining LifeTime(hours) LBA_of_first_error # 1 Extended offline Completed without error 00% 4545 - SMART Selective self-test log data structure revision number 1 SPAN MIN_LBA MAX_LBA CURRENT_TEST_STATUS 1 0 0 Not_testing 2 0 0 Not_testing 3 0 0 Not_testing 4 0 0 Not_testing 5 0 0 Not_testing Selective self-test flags (0x0): After scanning selected spans, do NOT read-scan remainder of disk. If Selective self-test is pending on power-up, resume after 0 minute delay. Googling for the messages proved inconclusive, I can't even figure out whether the messages are routine or catastrophic. So, what do I do now?

    Read the article

  • Google I/O Sandbox Case Study: Apps4Android

    Google I/O Sandbox Case Study: Apps4Android We interviewed Apps4Android at the Google I/O Sandbox on May 11, 2011 and they explained to us the benefits of building accessibility applications on the Android platform. Apps4Android creates high-quality applications that enhance the quality-of-life and independence of individuals with disabilities. For more information about developing accessibility applications, visit: google.com For more information on Apps4Android, visit: www.apps4android.org From: GoogleDevelopers Views: 26 0 ratings Time: 02:01 More in Science & Technology

    Read the article

  • WebCenter Customer Spotlight: Hitachi Data Systems

    - by me
    Author: Peter Reiser - Social Business Evangelist, Oracle WebCenter Watch this Webcast to see a live demo on how HDS creates multilingual content for their 35+ regional websites  Solution SummaryHitachi Data Systems (HDS) provides mid-range and high-end storage systems, software and services. It is a wholly owned subsidiary of Hitachi Ltd. HDS is based in Santa Clara, California, and has over 5,300 employees in more then 100 countries and regions. HDS's main objectives were to provide a consistent message across all their sites, to maintain a tight governance structure across their messages and related content, expand the use of the existing content management systems and implement a centralized translation management system. HDS implemented a global web content management system based on Oracle WebCenter Content and integrated the Lingotek translation management system to manage their multilingual content. The implemented solution provides each Geo with the ability to expand their web offering to meet local market needs, while staying aligned with the Corporate Web Guidelines Company OverviewHitachi Data Systems (HDS) provides mid-range and high-end storage systems, software and services. It is a wholly owned subsidiary of Hitachi Ltd. and part of the Hitachi Information Systems & Telecommunications Division. The company sells through direct and indirect channels in more than 170 countries and regions. Its customers include of 50 percent of the Fortune 100 companies. HDS is based in Santa Clara California and has over 5,300 employees in more than 100 countries and regions. Business ChallengesHDS has over 35 global websites and the lack of global web capabilities led to inconsistency of messaging, slower time to market and failed to address local language needs. There was an extensive operational overhead due to manual and redundant processes. Translation efforts where superficial, inconsistent and wasteful and the lack of translation automation tools discouraged localization.  HDS's main objectives were to provide a consistent message across all their sites, to maintain a tight governance structure across their messages and related content, expand the use of the existing content management systems and implement a centralized translation management system. Solution DeployedHDS implemented a global web content management system based on Oracle WebCenter Content. The solution supports decentralized publishing for their 35+ global sites to address local market needs while ensuring editorial and brand review trough embedded review processes. They integrated the Lingotek translation management system into Oracle WebCenter Content to manage their multilingual content. Business Results Provides each Geo with the ability to expand their web offering to meet local market needs, while staying aligned with the Corporate Web Guidelines Enables end-to-end content lifecycle management across multiple languages Leverage translation memory for reuse and consistency Reduce time to market with central repository of translated content Additional Information HDS Webcast Oracle WebCenter Content Lingotek website

    Read the article

  • How Orchard works

    - by Latest Microsoft Blogs
    I just finished writing a long documentation topic on the Orchard project wiki that aims at being a good starting point for developers who want to understand the architecture, structure and general philosophy behind the Orchard CMS. It is not required Read More......(read more)

    Read the article

  • Is my hard drive about to fail?

    - by Cody Harlow
    I hear some squeaking noises sometimes when I use my computer so I ran smartctl. This is the results: === START OF READ SMART DATA SECTION === SMART Self-test log structure revision number 1 Num Test_Description Status Remaining LifeTime(hours) LBA_of_first_error # 1 Short offline Completed: read failure 90% 5953 37922655 # 2 Extended offline Completed: read failure 90% 5953 37922655 # 3 Short offline Completed: read failure 90% 5953 37922655 # 4 Short offline Completed without error 00% 429 - # 5 Extended offline Aborted by host 90% 429 - # 6 Short offline Completed without error 00% 429 - # 7 Short offline Completed without error 00% 429 - Is this a bad sign?

    Read the article

  • Basic Defensive Database Programming Techniques

    We can all recognize good-quality database code: It doesn't break with every change in the server's configuration, or on upgrade. It isn't affected by concurrent usage, or high workload. In an extract from his forthcoming book, Alex explains just how to go about producing resilient TSQL code that works, and carries on working.

    Read the article

  • How can a solo programmer become a good team player?

    - by Nick
    I've been programming (obsessively) since I was 12. I am fairly knowledgeable across the spectrum of languages out there, from assembly, to C++, to Javascript, to Haskell, Lisp, and Qi. But all of my projects have been by myself. I got my degree in chemical engineering, not CS or computer engineering, but for the first time this fall I'll be working on a large programming project with other people, and I have no clue how to prepare. I've been using Windows all of my life, but this project is going to be very unix-y, so I purchased a Mac recently in the hopes of familiarizing myself with the environment. I was fortunate to participate in a hackathon with some friends this past year -- both CS majors -- and excitingly enough, we won. But I realized as I worked with them that their workflow was very different from mine. They used Git for version control. I had never used it at the time, but I've since learned all that I can about it. They also used a lot of frameworks and libraries. I had to learn what Rails was pretty much overnight for the hackathon (on the other hand, they didn't know what lexical scoping or closures were). All of our code worked well, but they didn't understand mine, and I didn't understand theirs. I hear references to things that real programmers do on a daily basis -- unit testing, code reviews, but I only have the vaguest sense of what these are. I normally don't have many bugs in my little projects, so I have never needed a bug tracking system or tests for them. And the last thing is that it takes me a long time to understand other people's code. Variable naming conventions (that vary with each new language) are difficult (__mzkwpSomRidicAbbrev), and I find the loose coupling difficult. That's not to say I don't loosely couple things -- I think I'm quite good at it for my own work, but when I download something like the Linux kernel or the Chromium source code to look at it, I spend hours trying to figure out how all of these oddly named directories and files connect. It's a programming sin to reinvent the wheel, but I often find it's just quicker to write up the functionality myself than to spend hours dissecting some library. Obviously, people who do this for a living don't have these problems, and I'll need to get to that point myself. Question: What are some steps that I can take to begin "integrating" with everyone else? Thanks!

    Read the article

  • ImageViewer UserControl

    The article is about a UserControl I wrote. Opposed to PictureBoxes and other methods to displaying images on your forms this one provides a totally diffrent approach.

    Read the article

  • GDD-BR 2010 [0E] Google Geo: Exciting New Features and Tools

    GDD-BR 2010 [0E] Google Geo: Exciting New Features and Tools Speaker: Ossama Alami Track: Google APIs Time: E [14:40 - 15:25] Room: 0 Level: 151 Did you know we have an elevation web service? That you can completely restyle the look of the map tiles? How to use Fusion Tables to host and visualize geo data? A session covering new launches across Google's Geo products and some APIs you might not be aware of. Covering Web services, Earth API, New KML Extensions, Maps Styling, Fusion Tables. From: GoogleDevelopers Views: 0 0 ratings Time: 44:16 More in Science & Technology

    Read the article

  • Google I/O 2012 - Measuring the End-to-End Value of Your App

    Google I/O 2012 - Measuring the End-to-End Value of Your App Neil Rhodes, Nick Mihailovski, Mike Kwong We've rethought mobile app analytics from the ground up. If you are a mobile app developer, come see what's new from the land of Google Analytics; Understand how to measure the end-to-end value of your app, and improve its performance to drive usage and retention. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 69 4 ratings Time: 01:04:12 More in Science & Technology

    Read the article

  • Google I/O 2012 - Building Android Applications that Use Web APIs

    Google I/O 2012 - Building Android Applications that Use Web APIs Yaniv Inbar Google offers a large and growing set of back-end services, from AdSense to Tasks to Calendar to Google+, that can enrich your app, and increasingly they have a uniform set of APIs. This session discusses how to use them efficiently and securely, including authenticating safely and with good user experience, and describes Android-specific app-level optimizations. For all I/O 2012 sessions, go to developers.google.com From: GoogleDevelopers Views: 563 12 ratings Time: 55:14 More in Science & Technology

    Read the article

  • Lock mouse in center of screen, and still use to move camera Unity

    - by Flotolk
    I am making a program from 1st person point of view. I would like the camera to be moved using the mouse, preferably using simple code, like from XNA var center = this.Window.ClientBounds; MouseState newState = Mouse.GetState(); if (Keyboard.GetState().IsKeyUp(Keys.Escape)) { Mouse.SetPosition((int)center.X, (int)center.Y); camera.Rotation -= (newState.X - center.X) * 0.005f; camera.UpDown += (newState.Y - center.Y) * 0.005f; } Is there any code that lets me do this in Unity, since Unity does not support XNA, I need a new library to use, and a new way to collect this input. this is also a little tougher, since I want one object to go up and down based on if you move it the mouse up and down, and another object to be the one turning left and right. I am also very concerned about clamping the mouse to the center of the screen, since you will be selecting items, and it is easiest to have a simple cross-hairs in the center of the screen for this purpose. Here is the code I am using to move right now: using UnityEngine; using System.Collections; [AddComponentMenu("Camera-Control/Mouse Look")] public class MouseLook : MonoBehaviour { public enum RotationAxes { MouseXAndY = 0, MouseX = 1, MouseY = 2 } public RotationAxes axes = RotationAxes.MouseXAndY; public float sensitivityX = 15F; public float sensitivityY = 15F; public float minimumX = -360F; public float maximumX = 360F; public float minimumY = -60F; public float maximumY = 60F; float rotationY = 0F; void Update () { if (axes == RotationAxes.MouseXAndY) { float rotationX = transform.localEulerAngles.y + Input.GetAxis("Mouse X") * sensitivityX; rotationY += Input.GetAxis("Mouse Y") * sensitivityY; rotationY = Mathf.Clamp (rotationY, minimumY, maximumY); transform.localEulerAngles = new Vector3(-rotationY, rotationX, 0); } else if (axes == RotationAxes.MouseX) { transform.Rotate(0, Input.GetAxis("Mouse X") * sensitivityX, 0); } else { rotationY += Input.GetAxis("Mouse Y") * sensitivityY; rotationY = Mathf.Clamp (rotationY, minimumY, maximumY); transform.localEulerAngles = new Vector3(-rotationY, transform.localEulerAngles.y, 0); } while (Input.GetKeyDown(KeyCode.Space) == true) { Screen.lockCursor = true; } } void Start () { // Make the rigid body not change rotation if (GetComponent<Rigidbody>()) GetComponent<Rigidbody>().freezeRotation = true; } } This code does everything except lock the mouse to the center of the screen. Screen.lockCursor = true; does not work though, since then the camera no longer moves, and the cursor does not allow you to click anything else either.

    Read the article

  • Twitter like character counter - jQuery version

    - by bipinjoshi
    My recent article titled "Displaying a Character Counter for Multiline Textboxes" shows you how to create a character counter like Twitter for multiline textboxes. The articles does so using ASP.NET AJAX client behavior. Here is a jQuery version of the code that does similar job. Note, however, that unlike ASP.NET AJAX client behavior as illustrated in the article the following code takes a "function" based approach to quickly implement similar functionality.http://www.bipinjoshi.net/articles/84e691b2-0306-4911-87bb-875806ba981b.aspx

    Read the article

facebook twitter digg google delicious technorati stumbleupon myspace wordpress linkedin gmail igoogle windows live tumblr viadeo yahoo buzz yahoo mail yahoo bookmarks favorites email print

< Previous Page | 604 605 606 607 608 609 610 611 612 613 614 615  | Next Page >