Yeah I would also like to know what are the strengths of this language over languages such as C#, JS, or Java. The Stack Overflow Podcast is a weekly conversation about working in software development, learning to code, and the art and culture of computer programming. This post demonstrated that Python has shown a surprising growth in the last five years, especially within high-income countries.
You’ve obviously never used Python professionally (or even amateur-ally!). I expected it to go into detail about the business drivers of why organizations might be adopting Python over other languages. Instead it just graphed the number of tech support questions, suggesting a correlation to the language’s popularity.
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He tried his hands at different roles and directions. He worked with automated testing, fullstack development in different languages.
In this post, we’ll explore the extraordinary growth of the Python programming language in the last five years, as seen by Stack Overflow traffic within high-income countries. Oleg works on enterprise Java web apps for 10 years already, his primary specialization is E-Government information systems in Public Administration. Prior to joining JRG Oleg was working at Sberbank Technology where he was solving architectural problems and research in the field of automated business process management systems.
Python is an unusual case for being both one of the most visited tags on Stack Overflow and one of the fastest-growing ones. (Incidentally, it is also accelerating! Its year-over-year growth has become faster each year since 2013).
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It has an elegant syntax that is natural to read and easy to write. Python, Ruby, PHP etc. all have their place, but as an all-round language, Java really is just head and shoulders over all of them.
As André Rebentisch suggests in the comment below, it could just mean that Python is harder to learn due to inadequate documentation. Python is just about as intuitive as you’d get with a programming language as a beginner. I think the influx of traffic can be explained because python is so intuitive, https://itstep.org/ ie; beginners can pick up python and formulate intermediate questions quickly with python – thus explaining the need of stackoverflow. Python is a simple development language but still raises lots of syntax questions. I learned R prior to the year 2000 and came across Python through a friend in 2002.
At number two is Java, enterprise workhorse and until recently Android favorite, unsurprising given its usual strong showing. The TIOBE Programming Community index is an indicator of the popularity of programming languages. The ratings are based on the number of skilled engineers world-wide, courses and third party vendors. , Wikipedia, Amazon, YouTube and Baidu are used to calculate the ratings.
- The community tries to apply different approaches and ways in the area of smart contract languages and their execution environments development.
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Today their eco systems are completely different, no one says that R is like S anymore, persons formerly known as SPSS professionals became R experts, and Python now means mostly web app development, Django/Flask etc. Syntax and features changed over the years but what remains is that Python is simple but also quite unintuitive.
And for the first time, Python outranked Java as the second most popular language on GitHub by repository contributors. In the last year, developers collaborated in more than https://deveducation.com/ 370 primary languages on GitHub. As one of the most popular projects on GitHub, TensorFlow can show us how open source projects connect the larger software community.
Outside of high-income countries Python is still the fastest growing major programming language; it simply started at a lower level and the growth began two years later (in 2014 rather than 2012). In fact, the year-over-year growth rate of Python in non-high-income countries is slightly higher than it is in high-income countries. We don’t examine it here, but R, the other language whose usage is positively correlated with GDP, is growing in these countries as well. Note that we’re not saying these languages are in any way “competing” with Python. Rather, we’re explaining why we’d treat their growth in a separate category; these were lower-traffic tags to start with.
It is important to note that the TIOBE index is not about the best programming language or the language in which most lines of code have been written. Pocket Code is ideally suited for young refugees to learn how to develop Apps in their own languages.
Note that whenever I read reviews of programming languages, I see praise for Python’s syntax. After a short while, the syntax of all programming languages becomes quirky and weird. Most languages these days are multi-paradigm, a combination of imperative, object-oriented, and functional.
I’ve always been interested in the rise and fall in popularity of programming languages. Stack Overflow traffic within high-income countries. The term “fastest-growing” языки программирования 2019 can be hard to define precisely, but we make the case that Python has a solid claim to being the fastest-growing major programming language.
I think this methodology works when comparing a single language’s growth, but not when comparing languages with each other. For example when I use C#, probably 80% of my questions are answered by intellisense. To the extent that I’ve used Python, it has typically been inside a языки программирования 2019 Jupyter notebook, where you have to look up everything little thing. Ruby’s package management solution is one of its best features, and (just IMO) superior to Python’s. Generally, of course, which language you prefer is mostly a preference, and they’re both great languages.
Iranian developers had the second-highest growth in open source projects created in public repositories, and we’re advocating for this growing community to have the broadest possible access to GitHub. Our data shows an increasingly interconnected world, and developers at work are no exception. This year, we’ve seen that not only do companies use GitHub, they also contribute to open source and take part in the developer community. Almost 70% of Global Fortune 50 companies have made a contribution to open source in the last year.
Why not correlate this data with your Jobs/Careers section? Where is there growth in those countries in job postings? Almost all the jobs on there are in the “Rich Countries” (North America, Europe) and very few are not.
As well languages well established with a history of reliability and so on they are likely used as the main ‘workhorse’ languages of larger established, companies with western operations (say, Siemens for e.g.). This might correlate to https://deveducation.com/blog/kakoj-yazyk-programmirovaniya-vybrat-dlya-starta/ the periodic pattern where work in such companies generally tends to slow somewhat over the Christmas and summer break periods. With the acuteness of Python’s trend though it’s hard to tell if the same trend is appearing there yet.
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Instead, it’s the choice of support/libraries (which are great for Python), or specific features like tight “systems” memory control (like Rust) or scalable coroutines (like Go). Seriously, stop praising the “elegant” and “simple” syntax of languages. This has become one of the most popular languages, driven by universities which use it heavily as the teaching language for programming concepts. Anything academic, like machine learning, will have great libraries for Python.