Want to Be a Web Developer Heres Where the Best Opportunities Are

first_img This hands-on workshop will give you the tools to authentically connect with an increasingly skeptical online audience. January 8, 2015 2 min read Enroll Now for Freecenter_img With the constant talent wars waging on in major startup hubs, the ever-changing technology landscape and the skyrocketing salaries, it’s good be a web developer. But how good? Well, it depends.While there currently are approximately 18.2 million software developers worldwide (the figure is expected to balloon to 26.4 million by 2019), not all are treated the same, according to AppDynamics, a software application data analytics company.  Developers versed in programming language Ruby, C and Python are, on average, making six figures, whereas those proficient in C# and PHP are on the lower end of the wage spectrum, pulling in less than $90,000, which is still more than double the national income average of $44,888. If you have no idea what these languages are used for, don’t worry, the handy infographic embedded below provides a quick cheat sheet.  Related: 5 Pieces of Bad Advice You Should Ignore If You Want Your App to SucceedAnd it’s just not the type of developer you are that can make a difference but where you are located. Unsurprisingly San Jose, Calif. and San Francisco made the list of top cities for tech jobs but there were also some unexpected spots like Madison, Wisc. (Oddly, not included is New York City.)Whether you are considering becoming a web developer, you already are a web developer or you are a business owner looking to hire a web developer, you probably want to know where developers are and what they expect to be paid. Have a look at the infographic that was generated on behalf of AppDynamics.Related: 6 Techniques to Effectively Gamify a Mobile AppClick to EnlargeRelated: 7 Resources That Can Help You Create a Stunning Mobile App Design Free Workshop | August 28: Get Better Engagement and Build Trust With Customers Nowlast_img read more

Elon Musks SpaceX Rocket Crashes During Landing

first_img Minutes after successfully launching two satellites from Cape Canaveral, Florida, the Falcon 9 rocket crashed while attempting to land on an ocean barge on Wednesday. Taking to Twitter, SpaceX CEO Elon Musk reported the chain of events:Ascent phase & satellites look good, but booster rocket had a RUD on droneship— Elon Musk (@elonmusk) June 15, 2016Looks like thrust was low on 1 of 3 landing engines. High g landings v sensitive to all engines operating at max.— Elon Musk (@elonmusk) June 15, 2016RUD = Rapid Unscheduled Disassembly :)— Elon Musk (@elonmusk) June 15, 2016Upgrades underway to enable rocket to compensate for a thrust shortfall on one of the three landing engines. Probably get there end of year.— Elon Musk (@elonmusk) June 15, 2016Landing video will be posted when we gain access to cameras on the droneship later today. Maybe hardest impact to date. Droneship still ok.— Elon Musk (@elonmusk) June 15, 2016Entrepreneur will post the video as soon as it is made available. We just hope those drone pilots were wearing their seatbelts. Above is a video of the rocket’s successful launch.  This hands-on workshop will give you the tools to authentically connect with an increasingly skeptical online audience. 1 min read Free Workshop | August 28: Get Better Engagement and Build Trust With Customers Nowcenter_img June 16, 2016 Enroll Now for Freelast_img read more

TensorFlow 190rc0 release announced

first_imgTensorFlow Community keeps rolling with updates. The first release candidate for next minor version release 1.9.0 is unveiled today with pretty good list of features, improvements and bug fixes. In its previous version 1.8.0 release, the team paid more attention towards supporting GPU memory, running on multiple GPUs and cloud performance. In today’s release, the team were strong in adding support to Keras, gradient estimators and improvement in the layers. Major features and improvements in TensorFlow 1.9.0-rc0: Updated tf.keras to the Keras 2.1.6 API. tfe.Network is deprecated and can be inherited from tf.keras.Model. Added support of core feature columns and losses to gradient boosted trees estimators. The distributions.Bijector API supports broadcasting for Bijectors with new API changes. Layered variable names changed Bug Fixes in TensorFlow 1.9.0-rc0: The DatasetBase::DebugString() method is now const. Added the tf.contrib.data.sample_from_datasets() API for randomly sampling from multiple datasets. Eager Execution and Accelerated Linear Algebra (XLA) fixed. tf.keras.Model.save_weights by default saves in TensorFlow format. TensorFlow Debugger (tfdbg) CLI fixed. Added “constrained_optimization” to tensorflow/contrib. tf.contrib.framework.zero_initializer supports ResourceVariable. tf.contrib.data.make_csv_dataset() supports line breaks in quoted strings. Miscellaneous changes: Added GCS Configuration Ops. MakeIterator signature changed to enable propagating error status. KL divergence for two Dirichlet distributions. More consistent GcsFileSystem behavior for reads past EOF. Added Benchmark for tf.scan in graph and eager modes. Added complex128 support to FFT, FFT2D, FFT3D, IFFT, IFFT2D, and IFFT3D. Support for preventing tf.gradients() from backpropagating through integer tensors. Supports indicator column in boosted trees. Conv3D, Conv3DBackpropInput, Conv3DBackpropFilter now supports arbitrary. LinearOperator[1D,2D,3D]Circulant added to tensorflow.linalg. Allows LinearOperator to broadcast. For the complete list of bug fixes and improvements, you can read TensorFlow’s Github page. You can also download the source code to access all the exciting features of TensorFlow 1.9.0-rc0. Read Next Implementing feedforward networks with TensorFlow How TFLearn makes building TensorFlow models easier Distributed TensorFlow: Working with multiple GPUs and serverslast_img read more