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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

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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.


5 Best Programming Languages for AI

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You might ask yourself questions such as what is the fastest path to a career in AI, or what is the best programming language for AI? The answer to these questions will depend on your knowledge and experience, the type of AI project you are interested in, and current industry trends. There is currently no dedicated AI language dedicated to this area of technology, but it does support many popular programming languages. However, in order to increase your chances of quickly launching a career in AI, you need to learn AI programming languages that are supported by several machine learning (ML) and deep learning libraries. For AI programming languages, Python is leading the way with its unparalleled community support and pre-built libraries that help accelerate AI development.


How to start a career as artificial intelligence - Illinois News Today

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New Delhi [India], July 21 (ANI / PNN): According to the World Economic Forum, 133 million new jobs will be created in the field of artificial intelligence (AI) by 2022. Job demand and growth is projected in three key areas: data analysts and data scientists, AImachine learning specialists (including AI software engineers), and big data specialists. At the peak of decision-intelligence companies, use software that embeds AI within organizations across sales, marketing, planning, and supply chains to transform decision-making. The company has grown rapidly in the last 12 months, expanding its teams in Jaipur (India) and the United Kingdom, as well as opening new offices in the United States and Pune (India). As a result, Peak is creating 150 new jobs worldwide this year, including roles in data science and AI software engineering.


Learn all the skills you need to be a C Suite programmer for only $50

ZDNet

The popularity of leading programming languages changes all the time, but it's not really a surprise that the top 10 almost always includes C, C#, and C . Now you can master this popular language, plus SQL, by training at your own pace with The Complete C Suite Programming Bundle. No previous experience is required, and it's available right now at a very reasonable $49.99. These are the devices that should be at or near the top of your shortlist. The "Learn C# by Building Applications" class is a great place to start.