Technology advances by leaps and bounds and, suddenly, what was most common ceases to be. You stay out, out of date. Therefore it is important to be aware when it comes to detecting the trends that will lead us to the future of software development. We don’t talk about fashions or the languages ​​that do the most marketing. We talk about what the programmers are really doing and learning, as well as the technologies that, although minority today, will be the de facto standards of the future.

Based on the study conducted by the Python training institute in Bangalore, a combination of search terms and topics that developers are actively exploring and demanding, which gives a consistent indicator of the topics whose rising trend in popularity, deserves a look.

Python Programming

The 3 key trends, which Python training institute analyzed and mentioned below:

  • The strong growth of issues related to the cloud. It is no longer just about bringing an application to the cloud but its architecture and as increasingly complex and enormous systems has pushed micro services.
  • The Block chain that for some continues to sound the cryptocurrency hype has a lot of uses where to develop distributed applications without relying on a central authority. Not only monetary transactions, but smart contracts or authority checks.
  • Python continue to dominate and it seems that every year they revalidate their relevance thanks to their constantly evolving ecosystem. They also start to sound strong: Rust or Go as modern languages ​​that help developers be more productive while allowing high performance and scalability.

Python continue its domain supported by Data Science and Machine Learning:

With our experience, Python training institute in bangalore has analyzed that year after year we see these three languages ​​in the top of each ranking that is created on trends and uses. We will analyze the explanation not only live that historically have a broad ecosystem and market share gained but how the new trends are supported by these three languages.

Machine Learning is one of the technologies that receive the most support from the Python community. Many of the libraries used in Data Science are based in Python. Also Google’s commitment to Tensor Flow whose API is based on Python interfaces has helped interest in this language with a lot of veteranship and solidity demonstrated when analyzing and extracting data from large amounts of information.