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Discussion About Groovy?

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What is Apache Groovy?

Apache Groovy is a powerful, optionally typed and dynamic language, with static-typing and static compilation capabilities, for the Java platform aimed at improving developer productivity thanks to a concise, familiar and easy to learn syntax. It integrates smoothly with any Java program, and immediately delivers to your application powerful features, including scripting capabilities, Domain-Specific Language authoring, runtime and compile-time meta-programming and functional programming.

  • Flat learning curve
  • Powerful features
  • Smooth Java integration
  • Domain-Specific Languages
  • Vibrant and rich ecosystem
  • Scripting and testing glue


Apache Groovy is a Java-syntax-compatible object-oriented programming language for the Java platform. It is both a static and dynamic language with features similar to those of Python, Ruby, Perl, and Smalltalk. It can be used as both a programming language and a scripting language for the Java Platform, is compiled to Java virtual machine (JVM) bytecode, and interoperates seamlessly with other Java code and libraries. Groovy uses a curly-bracket syntax similar to Java's. Groovy supports closures, multiline strings, and expressions embedded in strings. Much of the Groovy's power lies in its AST transformations, triggered by annotations.

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posted Apr 30 by anonymous

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**What is Math Kernal Library?**
Math Kernel Library (Intel MKL) is a library of optimized math routines for science, engineering, and financial applications. Core math functions include BLAS, LAPACK, ScaLAPACK, sparse solvers, fast Fourier transforms, and vector math. The routines in MKL are hand-optimized specifically for Intel processors.

The library supports Intel processors and is available for Windows, Linux and macOS operating systems.

Main Categories for Math Kernal Library

  • Linear algebra: BLAS routines are vector-vector (Level 1),    matrix-vector(Level 2) and matrix matrix(Level 3) operations for real and complex single and double precision data. LAPACK consists of tuned LU, Cholesky and QR factorizations, eigenvalue and least squares solvers.  
  • MKL includes a variety of Fast Fourier Transforms   (FFTs) from 1D to multidimensional, complex to complex, real to    complex, and real to real transforms of arbitrary lengths.  
  • Vector math functions include computationally intensive core mathematical operations for single and double precision real and complex data types. These are similar to libm functions from compiler libraries but operate on vectors rather than scalars to provide better performance. There are various controls for setting accuracy, error mode and denormalized number handling to customize the behavior of the routines. 
  • Statistics functions include random number generators and probability distributions. optimized for multicore processors.    Also included are compute-intensive in and out-of-core routines to    compute basic statistics, estimation of dependencies etc. 
  • Data fitting functions include splines (linear, quadratic, cubic, look-up,    stepwise constant) for 1-dimensional interpolation that can be used in data analytics, geometric modeling and surface approximation applications. 
  • Deep Neural Network
  • Partial Differential Equations    
  • Nonlinear Optimization Problem Solvers

Video for Math Kernal Library 

https://www.youtube.com/watch?v=VI9s7Zs7Z4E

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What is Gerrit?

Gerrit is a free, web-based team code collaboration tool. Software developers in a team can review each other's modifications on their source code using a Web browser and approve or reject those changes. 

It integrates closely with Git, a distributed version control system.

Gerrit is a fork of Rietveld, another code review tool. Both namesakes are of Dutch designer Gerrit Rietveld.
Code reviews mean different things to different people. To some it’s a formal meeting with a projector and an entire team going through the code line by line. To others it’s getting someone to glance over the code before it is committed.

Gerrit is intended to provide a lightweight framework for reviewing every commit before it is accepted into the code base. Changes are uploaded to Gerrit but don’t actually become a part of the project until they’ve been reviewed and accepted. 

In many ways this is simply tooling to support the standard open source process of submitting patches which are then reviewed by the project members before being applied to the code base. However Gerrit goes a step further making it simple for all committers on a project to ensure that changes are checked over before they’re actually applied. Because of this Gerrit is equally useful where all users are trusted committers such as may be the case with closed-source commercial development. 

Either way it’s still desirable to have code reviewed to improve the quality and maintainability of the code. After all, if only one person has seen the code it may be a little difficult to maintain when that person leaves.

Gerrit is firstly a staging area where changes can be checked over before becoming a part of the code base. It is also an enabler for this review process, capturing notes and comments about the changes to enable discussion of the change. 

This is particularly useful with distributed teams where this conversation can’t happen face to face. Even with a co-located team having a review tool as an option is beneficial because reviews can be done at a time that is convenient for the reviewer. 

This allows the developer to create the review and explain the change while it is fresh in their mind. Without such a tool they either need to interrupt someone to review the code or switch context to explain the change when they’ve already moved on to the next task.

Video for Gerrit

https://www.youtube.com/watch?v=a0xMde2GI00

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