Python is among developers' favorite programming languages for AI development because of its syntax, simplicity, and versatility. Python is very encouraging for machine learning for developers as it is less than languages such as C and Java. It also a very portable language as it is used on platforms including Linux, Windows, Mac OS, and UNIX. It is also popular because it allows you to create interactive, interpreted, modular, dynamic, portable and high-level code, which makes it more unique than Java.
Short Bytes: Apart from the popular programming languages like Java, C, Python, JS, etc., there are tons of other languages that are being used for specific purposes. Based on the popular TIOBE Index, we are sharing the list of the top 100 most popular programming languages of 2017. These languages have different features and strengths that different developers appreciate. Every alternate day, a new programming language is born. This vast choice to choose a programming language also makes it very tough to select the first programming language.
Python has grown to become one of the top programming languages in the world, with more developers than ever now using it for data analysis, machine learning, DevOps, and web development. Data analysis and machine learning in particular have moved up in Python developers' priorities, according to the 2018 Python Developer survey. Today, 58 percent who use Python do so for data analysis, up from 50 percent last year, overtaking web development on 52 percent. The other rapidly rising uses for Python are machine learning and DevOps. When asked what they use Python for most, web development is the leading answer, given by 27 percent of respondents, and well ahead of the 17 percent who report data analysis as the most common use.
Deep probabilistic programming languages try to combine the advantages of deep learning with those of probabilistic programming languages. If successful, this would be a big step forward in machine learning and programming languages. Unfortunately, as of now, this new crop of languages is hard to use and understand. This paper addresses this problem directly by explaining deep probabilistic programming languages and indirectly by characterizing their current strengths and weaknesses.
Wages growth for tech jobs in the US was stagnant in 2018, rising just 0.6 percent from 2017 to an average of $93,244 for the year, accord to Dice's 2019 tech salary report. Average tech wages haven't increased since 2015, when the average was actually higher than today at $93,328, according to Dice's data, and that's despite historically low levels of unemployment in the sector. However, there are a few specialized skills and roles that have seen higher than average growth, which could motivate some into making a career pivot. Dice's survey of 10,780 technology professionals finds that 68 percent would jump ship to get a higher wage, compared with 47 percent who would do it for better working conditions, like remote work and more flexible hours. As expected, the top-paying tech jobs are held by C-level execs and directors, whose average annual salary grew 3.9 percent over the year to $142,063.