PERL,INGRES,PROGRAMMING

  The Perl Foundation (TPF) is looking pretty active lately, undertaking a number of initiatives which aim to advance Perl's ecosystem further. The start came with  "Coding in Perl? What support do you need?" , a survey into what help and guidance Perl beginners would find useful, which we reported in  "New To Perl? What Do You Need? The Results" . Among other findings, it was revealed that beginners would like a standardized way of doing things along the lines of a framework, they crave the security and agility that an IDE provides, and that, when they look for help, their preference is first books and then online courses and videos, relegating real-time chat and one-to-one contact at the final places.   full article on i-programmer.info

  A free course by InfoSecAddicts, to teach Python from an Infosec Pro's perspective. It aims to cover the minimum Python that you can apply in the field to accomplish day-to-day Infosec tasks. full article on i-programmer.info

  A new library aims to unify all the previous approaches of accessing GraphQL from Spring. The Spring GraphQL project, which has reached its initial milestone towards a 1.0 release, integrates GraphQL, Java and Spring and was developed as a collaboration between both teams. Until now the way you accessed GraphQL from Spring was through the standard GraphQL Java Spring project which at the minimum would expose a /graphql endpoint (something that as well as the transport agnostic, was missing from the original GraphQL Java library) in order to accept the GraphQL payloads over HTTP; or the newest counterpart, that of the Netflix DGS Framework (Domain Graph Service). full article on i-programmer.info

  GAN Theft Auto is a fork of the Nvidia's GameGAN emulating dynamic game environments neural network but applied to Grand Theft Auto. A couple of researchers replicated a "simple" scene of Grand Theft Auto;a car driving around a highway.The difference is that the car as well as the surrounding environment obeys to rules not pre-written by a game engine but the neural network itself.   full article on i-programmer.info

  A compact and previously paid course is now free and open source. It teaches everything someone needs in order to transition to Linux. The range of subjects covered includes a treat for everyone;from setting up your own lab on a VPS and accessing it, to installing software, exploring the file structure, working with the CLI and its commands, to more advanced subjects like scripting on bash   full article on i-programmer.info

  A free course on the fundamentals of Machine Learning with Python, taught by Kevin Markham founder of Data School, helps you ease your way into ML and scikit-learn, one of the best-known libraries for this purpose. Python certainly is the most popular language of doing ML, mainly due to the number of relevant libraries available. scikit-learn is one of tho top Machine Learning libraries alongside PyTorch, NumPy, SciPy, TensorFlow and Theano. Additionally, scikit-learn is one of the easiest to learn as such perfect for beginning one's ML journey. That doesn't mean that it lacks functionality though; it is perfectly capable of pulling off many ML tasks such as classification, clustering, pre-processing, regression, etc. full article on i-programmer.info

  HackInScience is a code challenge site that is mostly oriented towards learning than competing with others for a top ranking despite the presence of a Leaderboard. It's a playground of fun Python exercises, each with a user-friendly correction bot. In order to showcase this, let's look at a simple exercise,"Characters counting" which requires writing code to  "Print the number of characters in the given paragraph". full article on i-programmer.info