The Future Scope of a Python Developer

Future Responsibilities of a Python Developer: The entire planet is becoming digital. Data is the king! We will gradually transition to an era of exabytes of data due to the ongoing digital transformation, and then to an era of zettabytes, yottabytes, and so on. Automating processes and using the mountains of data to inform decisions will be key in the future. Technology advancements like artificial intelligence (AI), machine learning and deep learning, the Internet of Things (IoT), etc. are made possible by this.

These technologies are laying the groundwork for the future, and the programming languages that go along with them are already becoming more and more well-liked. As a result, languages like R and Python, among others, are in a very strong position. In this blog article, we’ll talk about python for kids potential as a programming language and a profession for developers.

What then is the potential for Python developers in the future? Simple and promising is the response!

Future technologies strongly rely on Python, including Big Data and overarching artificial intelligence (AI) technologies like machine learning, deep learning, neural networks, and natural language processing (NLP).

Python was introduced in 1989 and is an object-oriented programming language (which arranges data and code into objects that may modify one another), making it simple to complete tasks and improving stability and code readability. The programming language is simple to use, takes less time to write, and requires less lines of code. The Anaconda platform has improved the speed compared to before. Its compatibility with Hadoop, the most widely used open source big data platform, is another factor. You can learn more about this here and about certain blunders that Python programmers should avoid when using it for big data here (link the previous blogpost).

In reality, Python is quickly rising to the top as the language of choice for data scientists. Python is at the top of the table in IEEE Spectrum’s interactive ranking of the best programming languages. Following it in popularity are C, Java, and C++. The results of a HackerRank poll are consistent. Citing the Love-Hate index, it shows how Python is favored by developers of all ages. The research continues, “python for kids is also the most sought-after language among developers overall, and a sizable portion already knows it.”

The frameworks and libraries designed specifically for AI and handling Big Data can be relied upon with ease by the Python community.

Let’s examine the several frameworks and libraries that are readily available for Python:

People that love Python are always introducing new libraries and frameworks. Some of these, as said, are particularly useful for new technology. For instance, there are several tools for machine learning in the field of artificial intelligence, including PyML, PyBrain, scikit-learn, MIPy, etc.; SimpleAI is a tool for general AI; Neurolab, PyAnn, etc. is a tool for neural networks; and Quepy is a tool for text and natural language processing. Similar to this, there are many toolkits and libraries for Big Data, including NumPy, Pandas, Scikit-Learn, and Bokeh.

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