Three months after the launch of the first version of the program, the new programming language known as "Julia" achieved a rocket rise in penetration rates, making it the first place on the "TYOP" programming languages ​​index in February as the fastest growing language, The Julia Computer Institute, or Julia Computing, a non-profit organization responsible for the development of this language, has formed a new entity called the Julia Team, which aims to push this language into the world of large enterprises and companies, serving as a powerful platform that provides the best integrated system ever. Development of codes and applications Working with the latest modern technologies of artificial intelligence, machine learning, massive analysis, deep learning, and other systems based on Julia's science group, including physics, mathematics, statistics, and language and engineering.

«Julia Language»

The announcement of the formation of «Julia Tim» in a statement published by «Tik Republic» on February 16, and details of this entity appeared as a section within the site «Julia Computerization».

Julia is an open-source, open-source programming language developed and hosted at the Massachusetts Institute of Computer Science and Artificial Intelligence. It was first introduced in 2009 by four renowned programming experts, Jeff Besançon, Stefan Karpinski, , And Alan Edelman. The four have been working on their development until they launched their first official site in 2012.

In a statement issued on December 9, 2018, the official release of version 1.0 of the language was officially announced, amid assurances that Julia would be the "next big language" and the most important programming language ever, especially in machine learning, Being "the language of languages", combining the speed of the C programming language, the ease and simplicity of Python, the dynamism and flexibility of the Ruby language, the mathematical skill and ability of Matlab language, and the strength and accuracy of the R language.

«Julia Tim»

Julia Tim's mission is to provide backup copies of the language repackage package to prevent loss of or damage to the code, to inform users of the vulnerabilities discovered in the Julia packages, and to install the language packs behind corporate and enterprise firewalls without problems during installation Authentication and authentication systems. The team acts as a host of all language documentation packages and tools, provides centralized document and document search functionality, and provides an API that facilitates code bases consisting of multiple packages to create Test platform for packages «Joe To ensure that future language versions of applications do not stop, integrate standard Julia standards to test debugging tools, and provide a new set of performance measurement tools.

Julia Tim also aims to provide a mechanism to avoid language criticism and address the problems that developers face and want to work with, especially the difficulty of finding language packs and libraries, and the difficulty of running and managing them during application development.

The first project

Advanced research in astronomy is the first area in which Julia Tim aims to prove himself. This is in line with Julia's recent achievements in developing an application called Celeste, an application developed by a team of astronomers, physicists and computer scientists. Statistics at the University of California, Lawrence National Laboratory, the American Center for Scientific Computing for National Energy Research, Intel, the Julia Computer Institute, and Julia's Laboratory at the Massachusetts Institute of Technology.

Through this application, scientists were able to address, classify and arrange the set of astronomical data captured by the Apache Center, an observatory in New Mexico, which scanned about 25% of everything shown in the sky, and take pictures, and produced a series of satellite images of hundreds of millions of stars And galaxies since its establishment in 1998.

The process of indexing the images of these stars and galaxies was a tedious process, and then developed the application developed in the language of "Julia" to work in parallel computing on one of the largest super-computers super-computer, "Corey" computer, which handled images of 178 terabytes Of the data, and produced an accurate guide to images of 188 million astronomical objects in just 14.6 minutes.

15 terabytes of photos

The Julia team is looking to develop the application to become the main tool for working with the giant astronomical telescope known as the Large Cytope Telescope Telescope scheduled for operation this year, which is expected to produce 15 terabytes of astronomical images each night, a figure that means that every few days The telescope will produce data equivalent to the Apache Point telescope in 20 years, but with Julia Tim, Celesti, and Corey, the vast amounts of images and data will be analyzed, written and indexed in less than five minutes every night. .