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Data Architect

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Our Data Architects are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with customers and our team to help …


Mastering JavaScript Essentials 2021 Novice To Professional

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Have you always wanted to learn JavaScript but you just don't know where to start? Or maybe you have started to learn Javascript, but you just don't know how to work with basic concepts like the intermediate level JavaScript programming, object-oriented programming in JavaScript, asynchronous programming in JavaScript and JSON objects. If that Sounds Like you…. Then our complete Mastering JavaScript Essentials 2021 Novice to Professional is for You! Join 800,000 Students Who Have Enrolled in our Udemy Courses! Watch the Promo Video to see how you can Get Started Today!


OpenAI releases Triton, a programming language for AI workload optimization

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All the sessions from Transform 2021 are available on-demand now. OpenAI today released Triton, an open source, Python-like programming language that enables researchers to write highly efficient GPU code for AI workloads. Triton makes it possible to reach peak hardware performance with relatively little effort, OpenAI claims, producing code on par with what an expert could achieve in as few as 25 lines. Deep neural networks have emerged as an important type of AI model, capable of achieving state-of-the-art performance across natural language processing, computer vision, and other domains. The strength of these models lies in their hierarchical structure, which generates a large amount of highly parallelizable work well-suited for multicore hardware like GPUs.


Top programming language for data science: Python still rules, followed by SQL

ZDNet

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room to grow before becoming essential for decision-making, according to Anaconda, the maker of a data science distribution of Python. Upskilling will be a part of work's new normal. Here's a look at the most popular programming languages based on surveys and courses for them. Python could soon be the most popular programming language, battling it out for top spot with JavaScript, Java and C, depending on which language ranking you look at. But while Python adoption is booming, the fields that are driving it -- data science and machine learning -- are still in their infancy.


Top programming language for data science: Python still rules, followed by SQL

#artificialintelligence

Data science and machine learning professionals have driven adoption of the Python programming language, but data science and machine learning are still lacking key tools in business and has room to grow before becoming essential for decision-making, according to Anaconda, the maker of a data science distribution of Python. Python could soon be the most popular programming language, battling it out for top spot with JavaScript, Java and C, depending on which language ranking you look at. But while Python adoption is booming, the fields that are driving it -- data science and machine learning -- are still in their infancy. Most respondents (63%) said they used Python frequently or always while 71% of educators said they're teaching machine learning and data science with Python, which has become popular because of its ease of use and easy learning curve. An impressive 88% of students said they were being taught Python in preparation to enter the data science/machine learning field.



PL and HCI

Communications of the ACM

Each subfield has its own culture and design goals. They both contribute to features that matter to users, but often to different sets of features. The PL community has deep expertise in developing modular, reusable abstractions. The HCI community has deep expertise in developing abstractions that are easy to learn or match the existing mental models of their target users. With rich histories of abstraction design across both fields, a union of these forms of expertise holds the promise of delivering useful, usable, and powerful abstractions.


Regular Expressions in Python -A Beginners Guide - Analytics Vidhya

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Regular Expressions, also known as "regex" or "regexp", are used to match strings of text such as particular characters, words, or patterns of characters. It means that we can match and extract any string pattern from the text with the help of regular expressions. I have used two terms, match and extract and both the terms have a slightly different meaning. There may be cases when we want to match a specific pattern but extract a subset of it. For example, we want to extract the names of PhD scholars from a list of names of people in an organization. In this case, we will match the "Dr XYZ" keyword and extract only the name, i.e. "XYZ" not the prefix "Dr." from the list.


Aviyel

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The goal is to simplify the integration and scaling of big data and AI workflows onto the hybrid cloud, the company said.


RPA migrations hastened through API bot interactions

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All the sessions from Transform 2021 are available on-demand now. Blueprint Software Systems has released a new solution for robotic process automation (RPA) migrations to the Microsoft Power Automate platform. This could tilt the balance in the RPA market toward Microsoft's lower-cost offerings with native integrations into popular productivity apps. Leading RPA companies, including UiPath, Automation Anywhere, and Blue Prism, have an extended lead time over Microsoft. These companies have developed a substantial base of loyal enterprise customers.